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🚨 Announcing a new SOTA memory system, Observational Memory (OM), available in latest Mastra version now. It achieves the highest scores ever recorded on LongMemEval (gpt-4o 84.2%, gpt-5-mini 94.9%) No RAG, no graphs, no input based retrieval, just a simple constantly evolving text blob that outperforms every other memory...

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Tyler Barnes

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145,270 просмотров • 6 месяцев назад •via X (Twitter)

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🚨 Announcing a new coding agent that rivals Claude Code but with no compaction needed 🚨 The feeling of using it: run your coding sessions forever, don't worry at all, and get shit done! We're calling it Mastra Code, it's powered by Mastra's new observational memory, and we've been using it internally Mastra to do all our work 1/4 🧵
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🚨 Announcing a new coding agent that rivals Claude Code but with no compaction needed 🚨 The feeling of using it: run your coding sessions forever, don't worry at all, and get shit done! We're calling it Mastra Code, it's powered by Mastra's new observational memory, and we've been using it internally Mastra to do all our work 1/4 🧵

Tyler Barnes

66,748 просмотров • 6 месяцев назад

Clude is now available as a custom connector on Anthropic Claude. Giving it persistent memory across every conversation. It remembers your projects, your preferences, and the decisions you make, so you never start from zero again. Use Clude across Chat / Co-Work and Claude Code. Add it in 30 seconds, no API key: 1. In Claude: Customize, Add custom connector URL: Enter your email. That's it. Recap for people unfamiliar: Clude deviates from the traditional vector database that many others bolt onto Claude. We are a cognitive memory system modeled on how human memory works. Think traditional memory systems: Calculator > It computes. Fullstop. Excel > Dynamic, formula run, able to share and manipulate Clude scored 86% on LongMemEval, one of the toughest long-term memory benchmarks. This means less hallucinations to traditional platforms. It scores memories by relevance, recency, and importance, links them into a knowledge graph, and consolidates them over time. Tell Claude something, open a new chat, and watch it remember.
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Clude is now available as a custom connector on Anthropic Claude. Giving it persistent memory across every conversation. It remembers your projects, your preferences, and the decisions you make, so you never start from zero again. Use Clude across Chat / Co-Work and Claude Code. Add it in 30 seconds, no API key: 1. In Claude: Customize, Add custom connector URL: Enter your email. That's it. Recap for people unfamiliar: Clude deviates from the traditional vector database that many others bolt onto Claude. We are a cognitive memory system modeled on how human memory works. Think traditional memory systems: Calculator > It computes. Fullstop. Excel > Dynamic, formula run, able to share and manipulate Clude scored 86% on LongMemEval, one of the toughest long-term memory benchmarks. This means less hallucinations to traditional platforms. It scores memories by relevance, recency, and importance, links them into a knowledge graph, and consolidates them over time. Tell Claude something, open a new chat, and watch it remember.

seb

20,554 просмотров • 2 месяцев назад

ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.
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ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.

NO1ennn

13,359 просмотров • 20 дней назад

Holy shit... One month before Andrej Karpathy dropped the “LLM Wiki” idea… someone had already built it. Not theory. Not hype. A working system. LLMs today restart from zero every time. No memory. No evolution. No learning. That’s broken. Most people use CLAUDE.md / AGENTS.md → Manual updates → Easy to forget → Knowledge gets lost That’s not intelligence. That’s a notepad. So I built dynamic memory for LLMs: • Learns automatically • Stores without manual effort • Weakens irrelevant data over time • Strengthens what actually matters Before the “LLM Wiki” idea went viral, this already had: • Brain-like decay/boost memory • Smart deduplication (no noise) • Experience tracking per tech • Cross-referenced knowledge graph • Loss-proof backups • Auto-grouped tool sessions Then I added: • memory_audit (clean + optimize memory) • Memory injection directly into tools Now this isn’t just a concept. It’s a live system that turns LLMs from stateless tools → evolving intelligence. Using it daily: → ~5K tokens → Zero manual work → Memory that actually compounds Link in comments. RT & Bookmark — this will be standard soon.
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Holy shit... One month before Andrej Karpathy dropped the “LLM Wiki” idea… someone had already built it. Not theory. Not hype. A working system. LLMs today restart from zero every time. No memory. No evolution. No learning. That’s broken. Most people use CLAUDE.md / AGENTS.md → Manual updates → Easy to forget → Knowledge gets lost That’s not intelligence. That’s a notepad. So I built dynamic memory for LLMs: • Learns automatically • Stores without manual effort • Weakens irrelevant data over time • Strengthens what actually matters Before the “LLM Wiki” idea went viral, this already had: • Brain-like decay/boost memory • Smart deduplication (no noise) • Experience tracking per tech • Cross-referenced knowledge graph • Loss-proof backups • Auto-grouped tool sessions Then I added: • memory_audit (clean + optimize memory) • Memory injection directly into tools Now this isn’t just a concept. It’s a live system that turns LLMs from stateless tools → evolving intelligence. Using it daily: → ~5K tokens → Zero manual work → Memory that actually compounds Link in comments. RT & Bookmark — this will be standard soon.

Nainsi Dwivedi

15,726 просмотров • 4 месяцев назад

New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!
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New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

Andrew Ng

160,148 просмотров • 5 месяцев назад

AutoGPT might be the next big step in AI. Here's why Karpathy recently said "AutoGPT is the next frontier of prompt engineering" AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed. It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates. There are three components to it: 1. Architecture: It leverages GPT-4 and GPT-3.5 via API. 2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results. 3. Memory Management: Integration with Pinecone allows for long-term memory storage, enabling context preservation and improved decision-making. 4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope.
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AutoGPT might be the next big step in AI. Here's why Karpathy recently said "AutoGPT is the next frontier of prompt engineering" AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed. It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates. There are three components to it: 1. Architecture: It leverages GPT-4 and GPT-3.5 via API. 2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results. 3. Memory Management: Integration with Pinecone allows for long-term memory storage, enabling context preservation and improved decision-making. 4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope.

Lior Alexander

808,131 просмотров • 3 лет назад

MICROSOFT QUIETLY BUILT ONE MEMORY MODULE THAT PLUGS INTO ANY AI AGENT AND CUTS ITS CONTEXT BY UP TO 100X no retraining. no task-specific redesign. you just plug it in Microsoft's insight: agents don't need to remember what happened. they need the knowledge pulled from it - the facts and the reusable skills, not the raw logs so PlugMem stops storing history. it compiles experience into a knowledge graph, then feeds the agent only what matters the result: > up to 1-2 orders of magnitude fewer tokens > highest decision-utility per token of any system tested > one unchanged module beats task-specific memory on chat QA, multi-hop search, and web agents more memory was never the answer. better memory is - and Microsoft just shipped it as a plug-in bookmark this. the agents that win won't remember more, they'll remember smarter.
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MICROSOFT QUIETLY BUILT ONE MEMORY MODULE THAT PLUGS INTO ANY AI AGENT AND CUTS ITS CONTEXT BY UP TO 100X no retraining. no task-specific redesign. you just plug it in Microsoft's insight: agents don't need to remember what happened. they need the knowledge pulled from it - the facts and the reusable skills, not the raw logs so PlugMem stops storing history. it compiles experience into a knowledge graph, then feeds the agent only what matters the result: > up to 1-2 orders of magnitude fewer tokens > highest decision-utility per token of any system tested > one unchanged module beats task-specific memory on chat QA, multi-hop search, and web agents more memory was never the answer. better memory is - and Microsoft just shipped it as a plug-in bookmark this. the agents that win won't remember more, they'll remember smarter.

NO1ennn

226,253 просмотров • 23 дней назад

STANFORD BUILT AN LLM MEMORY THAT WORKS LIKE A BRAIN AND IT MADE STANDARD RAG LOOK ANCIENT no fine-tuning. no bigger model. just a smarter way to remember the insight: the brain doesn't store memories as isolated notes. it indexes them and links them - so one cue pulls back the whole memory so HippoRAG stops treating documents as separate chunks. it builds a knowledge graph, then spreads activation across it (Personalized PageRank) to pull a full answer from a single cue - the brain calls this "pattern completion" the result: > up to 20% better on hard multi-hop questions > 10-30x cheaper and 6-13x faster than iterative retrieval > connects facts split across documents in a single step most RAG still encodes every passage in isolation - so it breaks the moment the answer is scattered more retrieval was never the answer. brain-like memory is bookmark this. the next leap in AI agents is how they remember, not how big they get
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STANFORD BUILT AN LLM MEMORY THAT WORKS LIKE A BRAIN AND IT MADE STANDARD RAG LOOK ANCIENT no fine-tuning. no bigger model. just a smarter way to remember the insight: the brain doesn't store memories as isolated notes. it indexes them and links them - so one cue pulls back the whole memory so HippoRAG stops treating documents as separate chunks. it builds a knowledge graph, then spreads activation across it (Personalized PageRank) to pull a full answer from a single cue - the brain calls this "pattern completion" the result: > up to 20% better on hard multi-hop questions > 10-30x cheaper and 6-13x faster than iterative retrieval > connects facts split across documents in a single step most RAG still encodes every passage in isolation - so it breaks the moment the answer is scattered more retrieval was never the answer. brain-like memory is bookmark this. the next leap in AI agents is how they remember, not how big they get

NO1ennn

32,454 просмотров • 21 дней назад

Love OpenClaw but hate the token burn? 💸 Running a 24/7 agent on GPT-4/Claude is overkill. You don't need SOTA reasoning to handle a greeting or a simple lookup. LLMRouter 🩷 OpenClaw The first production-ready, agentic router designed to plug directly into OpenClaw. LLMRouter fully supports Multimodal, Memory-Equipped routing that adapts 100% to your needs—compatible with FREE open-source models. The Logic is Simple:🔹 Simple query → Cheap/Local model 🔹 Complex reasoning → SOTA model (GPT-4/Claude 3.5) 🔹 Multimodal input → Vision/Audio specialized model Why this isn't just a switch: 📉 30–50% drop in inference costs 🧠 Zero loss in response quality 🔓 100% compatible with OpenAI-style APIs 🚀 Deploy in Seconds General Usage: Get the library and serve any model: pip install llmrouter-lib llmrouter serve OpenClaw Native Integration: Want the full agent experience? LLMRouter built a dedicated integration for OpenClaw users: LLMRouter Resources: 🔗 Repo: 📦 PyPI: 🤝 Works with: Route smarter. Train your own. Pay less. More on LLMRouter: Most routers are static if/else. LLMRouter is an intelligent, learning system. 🤖 Agentic & Memory-Aware: Decisions aren't stateless. We use RAG-powered memory to route based on context and history. 👤 Fully Personalized: It learns from your usage patterns via RL feedback loops. 🔬 Research-Grade: Switch between 16+ routing strategies (KNN, SVM, BERT, Graph, RL) with a single flag.
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Love OpenClaw but hate the token burn? 💸 Running a 24/7 agent on GPT-4/Claude is overkill. You don't need SOTA reasoning to handle a greeting or a simple lookup. LLMRouter 🩷 OpenClaw The first production-ready, agentic router designed to plug directly into OpenClaw. LLMRouter fully supports Multimodal, Memory-Equipped routing that adapts 100% to your needs—compatible with FREE open-source models. The Logic is Simple:🔹 Simple query → Cheap/Local model 🔹 Complex reasoning → SOTA model (GPT-4/Claude 3.5) 🔹 Multimodal input → Vision/Audio specialized model Why this isn't just a switch: 📉 30–50% drop in inference costs 🧠 Zero loss in response quality 🔓 100% compatible with OpenAI-style APIs 🚀 Deploy in Seconds General Usage: Get the library and serve any model: pip install llmrouter-lib llmrouter serve OpenClaw Native Integration: Want the full agent experience? LLMRouter built a dedicated integration for OpenClaw users: LLMRouter Resources: 🔗 Repo: 📦 PyPI: 🤝 Works with: Route smarter. Train your own. Pay less. More on LLMRouter: Most routers are static if/else. LLMRouter is an intelligent, learning system. 🤖 Agentic & Memory-Aware: Decisions aren't stateless. We use RAG-powered memory to route based on context and history. 👤 Fully Personalized: It learns from your usage patterns via RL feedback loops. 🔬 Research-Grade: Switch between 16+ routing strategies (KNN, SVM, BERT, Graph, RL) with a single flag.

Jiaxuan You

31,451 просмотров • 6 месяцев назад

Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun will start soon! "If you wanna tame me, you'll need more than that." 💫Event Duration: From 05:00 on Aug. 24 to 04:59 on Aug. 31 (Server Time) 💫The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Sylus: No Defense Zone] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you have obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Midnight Reverie Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: 🪐Download and Log in Now: #LoveandDeepspace #Sylus
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Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun will start soon! "If you wanna tame me, you'll need more than that." 💫Event Duration: From 05:00 on Aug. 24 to 04:59 on Aug. 31 (Server Time) 💫The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Sylus: No Defense Zone] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you have obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Midnight Reverie Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: 🪐Download and Log in Now: #LoveandDeepspace #Sylus

Love and Deepspace

528,561 просмотров • 6 дней назад

🚀 Meet the new Qwen3-TTS lineup: VoiceDesign & VoiceClone! Create, control, and clone voices—faster and more expressive than ever. ⚡ VoiceDesign-VD-Flash • Fully controllable speech via free-form text instructions — tone, rhythm, emotion, persona • No preset voices. Design your own unique vocal identity • Outperforms GPT-4o-mini-tts & Gemini-2.5-pro on role-play benchmarks ⚡ VoiceClone-VC-Flash • Clone any voice from just 3 seconds of audio • Generate speech in 10 languages (CN / EN / JP / ES + more) • 15% lower WER vs. ElevenLabs & GPT-4o-Audio in multilingual tests • Context-aware cadence for more natural delivery 🎙️ Try it now • Qwen Chat: • Blog:
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🚀 Meet the new Qwen3-TTS lineup: VoiceDesign & VoiceClone! Create, control, and clone voices—faster and more expressive than ever. ⚡ VoiceDesign-VD-Flash • Fully controllable speech via free-form text instructions — tone, rhythm, emotion, persona • No preset voices. Design your own unique vocal identity • Outperforms GPT-4o-mini-tts & Gemini-2.5-pro on role-play benchmarks ⚡ VoiceClone-VC-Flash • Clone any voice from just 3 seconds of audio • Generate speech in 10 languages (CN / EN / JP / ES + more) • 15% lower WER vs. ElevenLabs & GPT-4o-Audio in multilingual tests • Context-aware cadence for more natural delivery 🎙️ Try it now • Qwen Chat: • Blog:

Qwen

180,928 просмотров • 8 месяцев назад

Love and Deepspace | The New 5-Star Memory Limited Wish Pool [Caleb: Indulgent Scheme] is Coming Soon! "You know, you used to say thank you before every meal. What about now?" 💫Event Duration: From 05:00 on Dec. 18 to 04:59 on Dec. 27 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the limited 5-Star Memory [Caleb: Indulgent Scheme] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific number of Wishes. If the 5-Star Memory you have obtained from the Limited Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and pity count from this Wish Pool will also be applied to the upcoming Limited Wish Pool. *You can read more about the event on the in-game rule page. 💫Freshmorn Blessing: Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards, including Universal Decal [Marked by Love], [Deepspace Wish: Limited*20], General Photo Pose [The Calmnest], Memory Ascension Materials, etc. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Hat will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Loveswoon Pack] and [Morningfeast Pack] series, which include [Deepspace Wish: Limited] and other materials, will be available in Shop. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. ——— 🪐Official Discord: #LoveandDeepspace #Caleb
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Love and Deepspace | The New 5-Star Memory Limited Wish Pool [Caleb: Indulgent Scheme] is Coming Soon! "You know, you used to say thank you before every meal. What about now?" 💫Event Duration: From 05:00 on Dec. 18 to 04:59 on Dec. 27 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the limited 5-Star Memory [Caleb: Indulgent Scheme] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific number of Wishes. If the 5-Star Memory you have obtained from the Limited Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and pity count from this Wish Pool will also be applied to the upcoming Limited Wish Pool. *You can read more about the event on the in-game rule page. 💫Freshmorn Blessing: Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards, including Universal Decal [Marked by Love], [Deepspace Wish: Limited*20], General Photo Pose [The Calmnest], Memory Ascension Materials, etc. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Hat will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Loveswoon Pack] and [Morningfeast Pack] series, which include [Deepspace Wish: Limited] and other materials, will be available in Shop. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. ——— 🪐Official Discord: #LoveandDeepspace #Caleb

Love and Deepspace

499,219 просмотров • 8 месяцев назад

"The world falls, we fall together." Trailer of New 5-Star Memory Series [Tomorrow's Catch-22] Released! 💫Follow Love and Deepspace and Repost for a chance to win $50 (5 winners)! ⚠️Event Duration: 5:00 AM, Feb. 10 - 4:59 AM, Feb. 27 (Server Time) You can select three out of the five event-limited 5-Star Memories, [Xavier: Deluded Fiction], [Zayne: Immediate Disorder], [Rafayel: Extreme Dose], [Sylus: Innocent Birdcage], and [Caleb: Tainted Cuts]. The drop rate of the 3 Memories you selected will be significantly increased. If you obtain a 5-Star Memory in a wish, there's a 75% chance it will be one of the 3 Memories you selected. *Tips: 1. During the event, you can change your selected Memories at any time. If you obtain a 5-Star Memory in a wish, there's a 25% chance that it will be an unselected Memory or a permanent 5-Star Memory. 2. After the event ends, the five event-limited Memories will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features the Precise Wish and a pity system. You can check more details in upcoming event announcements. ⚠️Limited Gift: Cumulative Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards: Universal Facial [Silverblade Rhapsody], [Deepspace Wish: Limited ×20], His [Memory-Themed Outfits], Limited Gift [Memory-Themed Hairstyle], and selectable Event-Limited 5-Star Memory. *The cumulative rewards are only available during this Wish event. ⚠️Limited-Time Memory Growth Bonus During the event, you can claim various Upgrade and Ascension Materials by completing the growth tasks. When the event-limited Memories reach Rank 1, you can claim the [Special-Colored Memory-Themed Outfit] for the corresponding love interest. ⚠️Special: Memory-Themed Outfit Bonus Each Original or Special-Colored Outfit Set includes a Memory-Themed Outfit and Facial. All can be used separately. *More content will be released with the version update. Please stay tuned! #LoveandDeepspace
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"The world falls, we fall together." Trailer of New 5-Star Memory Series [Tomorrow's Catch-22] Released! 💫Follow Love and Deepspace and Repost for a chance to win $50 (5 winners)! ⚠️Event Duration: 5:00 AM, Feb. 10 - 4:59 AM, Feb. 27 (Server Time) You can select three out of the five event-limited 5-Star Memories, [Xavier: Deluded Fiction], [Zayne: Immediate Disorder], [Rafayel: Extreme Dose], [Sylus: Innocent Birdcage], and [Caleb: Tainted Cuts]. The drop rate of the 3 Memories you selected will be significantly increased. If you obtain a 5-Star Memory in a wish, there's a 75% chance it will be one of the 3 Memories you selected. *Tips: 1. During the event, you can change your selected Memories at any time. If you obtain a 5-Star Memory in a wish, there's a 25% chance that it will be an unselected Memory or a permanent 5-Star Memory. 2. After the event ends, the five event-limited Memories will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features the Precise Wish and a pity system. You can check more details in upcoming event announcements. ⚠️Limited Gift: Cumulative Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards: Universal Facial [Silverblade Rhapsody], [Deepspace Wish: Limited ×20], His [Memory-Themed Outfits], Limited Gift [Memory-Themed Hairstyle], and selectable Event-Limited 5-Star Memory. *The cumulative rewards are only available during this Wish event. ⚠️Limited-Time Memory Growth Bonus During the event, you can claim various Upgrade and Ascension Materials by completing the growth tasks. When the event-limited Memories reach Rank 1, you can claim the [Special-Colored Memory-Themed Outfit] for the corresponding love interest. ⚠️Special: Memory-Themed Outfit Bonus Each Original or Special-Colored Outfit Set includes a Memory-Themed Outfit and Facial. All can be used separately. *More content will be released with the version update. Please stay tuned! #LoveandDeepspace

Love and Deepspace

7,410,305 просмотров • 1 год назад

HERMES AGENT IS THE MOST POWERFUL OPEN SOURCE AI AGENT FRAMEWORK AVAILABLE RIGHT NOW — AND MOST PEOPLE HAVE NO IDEA HOW TO USE IT PROPERLY. This masterclass fixes that completely. From zero to a fully operational autonomous agent system in one sitting. Installation. Skills. Memory. MCP servers. Scheduler. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.
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HERMES AGENT IS THE MOST POWERFUL OPEN SOURCE AI AGENT FRAMEWORK AVAILABLE RIGHT NOW — AND MOST PEOPLE HAVE NO IDEA HOW TO USE IT PROPERLY. This masterclass fixes that completely. From zero to a fully operational autonomous agent system in one sitting. Installation. Skills. Memory. MCP servers. Scheduler. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.

CyrilXBT

34,607 просмотров • 2 месяцев назад

Xavier's Main Story Branch | Voyage Of The Outcast "A planet that uses... to survive... doesn't deserve to be saved." 💫Starting at 5:00 AM on Dec. 7 (server time), the new Main Story Branch [Voyage Of The Outcast] will be available. You can unlock [Special Operation] and enter Xavier's Main Story Branch [Voyage Of The Outcast], after completing [Prologue to Tomorrow] 1-2. 💫[Campus Mystery] 5-Star Memory for FREE From 5:00 AM on Dec. 7 to 4:59 AM on Dec. 17 (server time), participate in the event and complete all surveys to claim the Main Story Branch 5-Star Memory [Xavier: Outcast's Voyage] for free. *The Memory is part of the main plot, and there will be no direct link to Date from the Memory interface. #LoveandDeepspace #Xavier
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Xavier's Main Story Branch | Voyage Of The Outcast "A planet that uses... to survive... doesn't deserve to be saved." 💫Starting at 5:00 AM on Dec. 7 (server time), the new Main Story Branch [Voyage Of The Outcast] will be available. You can unlock [Special Operation] and enter Xavier's Main Story Branch [Voyage Of The Outcast], after completing [Prologue to Tomorrow] 1-2. 💫[Campus Mystery] 5-Star Memory for FREE From 5:00 AM on Dec. 7 to 4:59 AM on Dec. 17 (server time), participate in the event and complete all surveys to claim the Main Story Branch 5-Star Memory [Xavier: Outcast's Voyage] for free. *The Memory is part of the main plot, and there will be no direct link to Date from the Memory interface. #LoveandDeepspace #Xavier

Love and Deepspace

489,928 просмотров • 1 год назад

The New 5-Star Memory Wish Pool [Xavier: Silvery Polyphony] is Coming Soon! "When you play it... I feel like the universe's echoes have finally found their answer." 💫Event Duration: From 5:00 AM on Dec. 18 to 4:59 AM on Dec. 28 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the Limited 5-Star Memory [Xavier: Silvery Polyphony] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool, Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within specific attempts of wishes. If the 5-Star Memory you've obtained from the Limited Wish Pool is not the event-exclusive Memory, you will obtain the event-exclusive Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and the pity count in this Wish Pool will also be applied to the upcoming Limited Wish Pools. *You can read more about the event on the in-game rule page. 💫Concerto Blessing: Wish Rewards During the event, after making a certain number of wishes, you can claim rewards including [Universal Facial: Glistening Tears], [Deepspace Wish: Limited*20], His General Photo Pose [Consideration], Memory Ascension materials, and more. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Facial will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Concerto Pack] and [Silvery Cascade Gift] series will be available for purchase, including [Deepspace Wish: Limited], all at special prices. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. #LoveandDeepspace #Xavier
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The New 5-Star Memory Wish Pool [Xavier: Silvery Polyphony] is Coming Soon! "When you play it... I feel like the universe's echoes have finally found their answer." 💫Event Duration: From 5:00 AM on Dec. 18 to 4:59 AM on Dec. 28 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the Limited 5-Star Memory [Xavier: Silvery Polyphony] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool, Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within specific attempts of wishes. If the 5-Star Memory you've obtained from the Limited Wish Pool is not the event-exclusive Memory, you will obtain the event-exclusive Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and the pity count in this Wish Pool will also be applied to the upcoming Limited Wish Pools. *You can read more about the event on the in-game rule page. 💫Concerto Blessing: Wish Rewards During the event, after making a certain number of wishes, you can claim rewards including [Universal Facial: Glistening Tears], [Deepspace Wish: Limited*20], His General Photo Pose [Consideration], Memory Ascension materials, and more. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Facial will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Concerto Pack] and [Silvery Cascade Gift] series will be available for purchase, including [Deepspace Wish: Limited], all at special prices. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. #LoveandDeepspace #Xavier

Love and Deepspace

392,707 просмотров • 1 год назад

Love and Deepspace | The New 5-Star Memory Limited Wish Pool [Sylus: Passionate Appraisal] is Coming Soon! "That kiss was me projecting my feelings. I hope it wasn't too bad…" 💫Event Duration 05:00, Sept. 9 - 04:59, Sept. 18 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the limited 5-Star Memory [Sylus: Passionate Appraisal] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific number of Wishes. If the 5-Star Memory you have obtained from the Limited Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and pity count from this Wish Pool will also be applied to the upcoming Limited Wish Pool. *You can read more about the event on the in-game rule page. 💫Tender Blessing: Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards, including Universal Facial [Silver Boundary], [Deepspace Wish: Limited*20], General Photo Pose [Close Behind], Memory Ascension Materials, etc. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Facial will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Tender Pack] and [Whispermelt Pack] series, which include [Deepspace Wish: Limited] and other materials, will be available in Shop at special prices. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. ——— 🪐Official Discord: #LoveandDeepspace #Sylus
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Love and Deepspace | The New 5-Star Memory Limited Wish Pool [Sylus: Passionate Appraisal] is Coming Soon! "That kiss was me projecting my feelings. I hope it wasn't too bad…" 💫Event Duration 05:00, Sept. 9 - 04:59, Sept. 18 (Server Time) 💫Limited 5-Star Memory Rate Up 1. During the event, the drop rate of the limited 5-Star Memory [Sylus: Passionate Appraisal] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Limited Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific number of Wishes. If the 5-Star Memory you have obtained from the Limited Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Limited Wish Pool can be applied to this Limited Wish Pool, and pity count from this Wish Pool will also be applied to the upcoming Limited Wish Pool. *You can read more about the event on the in-game rule page. 💫Tender Blessing: Wish Rewards During the event, after making a certain number of Wishes, you can claim various rewards, including Universal Facial [Silver Boundary], [Deepspace Wish: Limited*20], General Photo Pose [Close Behind], Memory Ascension Materials, etc. *The cumulative wish rewards are only available during this wish event. However, the reward Photo Pose and Facial will be available in Lunar Shop after the event ends. 🎁New Packs During the event, the new [Tender Pack] and [Whispermelt Pack] series, which include [Deepspace Wish: Limited] and other materials, will be available in Shop at special prices. Both [Deepspace Wish] and [Deepspace Wish: Limited] can be used for the Limited 5-Star Memory wishes, with [Deepspace Wish: Limited] being prioritized for use. *After the event ends, [Deepspace Wish: Limited] will automatically convert to Empyrean Wishes. ——— 🪐Official Discord: #LoveandDeepspace #Sylus

Love and Deepspace

285,586 просмотров • 11 месяцев назад

MICROSOFT TRIED TO BUY IT. HARVARD AND THREE US UNIVERSITIES RELEASED IT FOR FREE a team from Harvard, Michigan State, Minnesota, and Georgia ran the first hard study on how agent memory behaves over time. the finding is uncomfortab they call it the "experience-following property": when a new task looks like a memory the agent pulls up, its answer copies that memory's answer almost 1:1 (correlation up to 0.95). the agent isn't reasoning - it's imitating that breaks in two ways: > error propagation - one wrong memory repeats on every similar task after it > misaligned replay - "successful" past runs turn out low-value or misleading when reused so "just add more memory" quietly makes agents worse. what fixed it: > store only high-quality experiences, not everything > use future task outcomes as free labels to delete low-value memories > pair selective adding with utility-based deletion the payoff: ~10% absolute accuracy gains, a cleaner memory bank, and agents stable under distribution shift no company owns this. they dropped the whole thing open-source, for free bookmark this. the next edge in AI agents isn't more memory - it's cleaner memory
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MICROSOFT TRIED TO BUY IT. HARVARD AND THREE US UNIVERSITIES RELEASED IT FOR FREE a team from Harvard, Michigan State, Minnesota, and Georgia ran the first hard study on how agent memory behaves over time. the finding is uncomfortab they call it the "experience-following property": when a new task looks like a memory the agent pulls up, its answer copies that memory's answer almost 1:1 (correlation up to 0.95). the agent isn't reasoning - it's imitating that breaks in two ways: > error propagation - one wrong memory repeats on every similar task after it > misaligned replay - "successful" past runs turn out low-value or misleading when reused so "just add more memory" quietly makes agents worse. what fixed it: > store only high-quality experiences, not everything > use future task outcomes as free labels to delete low-value memories > pair selective adding with utility-based deletion the payoff: ~10% absolute accuracy gains, a cleaner memory bank, and agents stable under distribution shift no company owns this. they dropped the whole thing open-source, for free bookmark this. the next edge in AI agents isn't more memory - it's cleaner memory

NO1ennn

27,496 просмотров • 18 дней назад

AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does
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AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does

plutos

152,392 просмотров • 2 месяцев назад

ANTHROPIC JUST KILLED A DOZEN AI MEMORY STARTUPS WITH ONE BUILT IN TOOL people raised millions to give AI long term memory. Anthropic just shipped it straight into the API. free, no framework, no vector database. it is a folder of files Claude reads and writes. that is it. the trick: it is client side. Claude never touches your data directly. it only requests a file operation, and your app runs it against storage you control. before every task Claude checks its /memories directory, pulls back what it learned last time, and keeps going. when it learns something new, it writes it down. six plain operations do all of it: > view, create, str_replace, insert, delete, rename why it actually wins: > just in time retrieval, it reads on demand instead of loading everything up front > it survives a context reset, so a long job resumes instead of starting over > every path is locked to /memories, so it cannot wander your filesystem > works on every Claude 4 model, no beta flag, generally available Anthropic even pairs it with context editing and compaction, so the live window stays tiny while the important stuff lives on disk. the whole thing in one line: Claude keeps the notes, you keep the storage. bookmark this before you pay for a memory layer you no longer need.
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ANTHROPIC JUST KILLED A DOZEN AI MEMORY STARTUPS WITH ONE BUILT IN TOOL people raised millions to give AI long term memory. Anthropic just shipped it straight into the API. free, no framework, no vector database. it is a folder of files Claude reads and writes. that is it. the trick: it is client side. Claude never touches your data directly. it only requests a file operation, and your app runs it against storage you control. before every task Claude checks its /memories directory, pulls back what it learned last time, and keeps going. when it learns something new, it writes it down. six plain operations do all of it: > view, create, str_replace, insert, delete, rename why it actually wins: > just in time retrieval, it reads on demand instead of loading everything up front > it survives a context reset, so a long job resumes instead of starting over > every path is locked to /memories, so it cannot wander your filesystem > works on every Claude 4 model, no beta flag, generally available Anthropic even pairs it with context editing and compaction, so the live window stays tiny while the important stuff lives on disk. the whole thing in one line: Claude keeps the notes, you keep the storage. bookmark this before you pay for a memory layer you no longer need.

NO1ennn

42,946 просмотров • 14 дней назад