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holy, competition is heating up a lot Anthropic introduces a memory feature that lets users transfer their context and preferences from other AI tools into Claude by copying a generated prompt and pasting the result into Claude’s memory settings. This allows Claude to immediately continue conversations with retained context,... show more

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Anthropic is developing a new feature for Claude Cowork called Knowledge Bases (KBs) persistent, topic-specific memory containers that Claude will automatically reference and update. These KBs are designed to store user preferences, decisions, lessons, and facts essentially acting as long-term, self-maintaining knowledge repositories that enhance Claude’s ability to reason over context-rich workflows. Internal instructions hint that Claude will proactively use and grow these KBs during conversations.

Anthropic is developing a new feature for Claude Cowork called Knowledge Bases (KBs) persistent, topic-specific memory containers that Claude will automatically reference and update. These KBs are designed to store user preferences, decisions, lessons, and facts essentially acting as long-term, self-maintaining knowledge repositories that enhance Claude’s ability to reason over context-rich workflows. Internal instructions hint that Claude will proactively use and grow these KBs during conversations.

Wes Roth

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Anthropic released a TON of updates today: • Sonnet 4.5 (with context awareness) • Claude Code 2.0 (+ new mascot 🦀) • Claude API: context editing + memory tool Mike Krieger sat down for a special launch day chat about 4.5 and the Anthropic developer roadmap! (and more: • VS Code extension • Claude apps code execution and file creation • Claude for Chrome • Imagine with Claude) Available here or on our youtube channel:

Anthropic released a TON of updates today: • Sonnet 4.5 (with context awareness) • Claude Code 2.0 (+ new mascot 🦀) • Claude API: context editing + memory tool Mike Krieger sat down for a special launch day chat about 4.5 and the Anthropic developer roadmap! (and more: • VS Code extension • Claude apps code execution and file creation • Claude for Chrome • Imagine with Claude) Available here or on our youtube channel:

Latent.Space

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Big update for Claude Desktop and Cursor users! Now you can connect all AI apps via a common memory layer in a minute. I used the Graphiti MCP server that runs 100% locally to cross-operate across AI apps like Claude Desktop and Cursor without losing context. (setup below)

Big update for Claude Desktop and Cursor users! Now you can connect all AI apps via a common memory layer in a minute. I used the Graphiti MCP server that runs 100% locally to cross-operate across AI apps like Claude Desktop and Cursor without losing context. (setup below)

Avi Chawla

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Perplexity Introduces Personalized Memory 🔥 TLDR : - Gives AI assistants memory to recall preferences, interests, and past chats. - It removes manual context engineering by auto loading relevant context. - Answers become more accurate and personalized using direct memory retrieval. - Users stay fully in control with on or off switches, incognito protection, and encryption. - Memory works across all models so your context follows you anywhere in Perplexity. - Comet Assistant also gets true memory, making it more consistent, personalized, and powerful.

Perplexity Introduces Personalized Memory 🔥 TLDR : - Gives AI assistants memory to recall preferences, interests, and past chats. - It removes manual context engineering by auto loading relevant context. - Answers become more accurate and personalized using direct memory retrieval. - Users stay fully in control with on or off switches, incognito protection, and encryption. - Memory works across all models so your context follows you anywhere in Perplexity. - Comet Assistant also gets true memory, making it more consistent, personalized, and powerful.

AshutoshShrivastava

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Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Notion

493,537 Aufrufe • vor 3 Monaten

Claude Code just got a memory upgrade. And it’s kind of insane. A free tool called Claude Mem lets Claude remember everything across sessions. The result? Up to 95% fewer tokens used. Which means faster workflows and way cheaper AI automation. This fixes Claude Code’s biggest weakness.

Claude Code just got a memory upgrade. And it’s kind of insane. A free tool called Claude Mem lets Claude remember everything across sessions. The result? Up to 95% fewer tokens used. Which means faster workflows and way cheaper AI automation. This fixes Claude Code’s biggest weakness.

Julian Goldie SEO

11,989 Aufrufe • vor 4 Monaten

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

39,176 Aufrufe • vor 26 Tagen

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

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Working with Claude Code involves a lot of waiting around for Claude to figure out what it needs to complete a task. There's a better way though! Priming Claude Code with Repo Prompt context lets you get better code faster from agents like Claude Code. Let's dive in 👇

Working with Claude Code involves a lot of waiting around for Claude to figure out what it needs to complete a task. There's a better way though! Priming Claude Code with Repo Prompt context lets you get better code faster from agents like Claude Code. Let's dive in 👇

eric provencher

42,523 Aufrufe • vor 11 Monaten

Really interesting Boris Cherny and Cat Wu interview on the move from Claude Code to Claude Tag. Anthropic's launched Claude Tag last week and it added a layer of persistent context and memory that would have been difficult to maintain with previous tools. - Claude Tag shows a bigger shift than faster coding inside Anthropic’s daily work. Claude Code helped one person work faster, but Claude Tag changes group behavior. - AI becomes more useful when it enters shared workspaces. - People no longer need to open a separate tool, frame a task, and monitor it. Claude can sit inside a channel, notice useful work, act, and report back. - That institutional memory turns AI from a helper into a workflow layer. A channel can teach Claude what to watch, what to ignore, and how to respond. That means the system improves through normal corrections, not separate training sessions. - Visibility spreads skill faster than private AI use. When stronger users show Claude how to debug, analyze data, or write PRs, others copy those patterns. - This turns AI adoption from individual experimentation into social learning across the company.

Really interesting Boris Cherny and Cat Wu interview on the move from Claude Code to Claude Tag. Anthropic's launched Claude Tag last week and it added a layer of persistent context and memory that would have been difficult to maintain with previous tools. - Claude Tag shows a bigger shift than faster coding inside Anthropic’s daily work. Claude Code helped one person work faster, but Claude Tag changes group behavior. - AI becomes more useful when it enters shared workspaces. - People no longer need to open a separate tool, frame a task, and monitor it. Claude can sit inside a channel, notice useful work, act, and report back. - That institutional memory turns AI from a helper into a workflow layer. A channel can teach Claude what to watch, what to ignore, and how to respond. That means the system improves through normal corrections, not separate training sessions. - Visibility spreads skill faster than private AI use. When stronger users show Claude how to debug, analyze data, or write PRs, others copy those patterns. - This turns AI adoption from individual experimentation into social learning across the company.

Rohan Paul

14,519 Aufrufe • vor 8 Tagen

LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.

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LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.

Dria

169,981 Aufrufe • vor 10 Monaten

ANTHROPIC 🔥: Claude desktop app got a built-in web browser for Claude Code. This feature allows Claude to open and debug URLs directly inside the app. Browsers are now secondary, AI first 👀

ANTHROPIC 🔥: Claude desktop app got a built-in web browser for Claude Code. This feature allows Claude to open and debug URLs directly inside the app. Browsers are now secondary, AI first 👀

🚨 AI News | TestingCatalog

85,932 Aufrufe • vor 1 Tag

Introducing 100K Context Windows! We’ve expanded Claude’s context window to 100,000 tokens of text, corresponding to around 75K words. Submit hundreds of pages of materials for Claude to digest and analyze. Conversations with Claude can go on for hours or days.

Introducing 100K Context Windows! We’ve expanded Claude’s context window to 100,000 tokens of text, corresponding to around 75K words. Submit hundreds of pages of materials for Claude to digest and analyze. Conversations with Claude can go on for hours or days.

Anthropic

2,474,439 Aufrufe • vor 3 Jahren

Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.

Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.

Google Gemini

48,721 Aufrufe • vor 3 Monaten

New short course: LLMs as Operating Systems: Agent Memory, created with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM's input context window has limited space. Using a longer input context also costs more and results in slower processing. So, managing what's stored in this context window is important. In the innovative paper MemGPT: Towards LLMs as Operating Systems, its authors (which include the instructors) proposed using an LLM agent to manage this context window. Their system uses a large persistent memory that stores everything that could be included in the input context, and an agent decides what is actually included. Take the example of building a chatbot that needs to remember what's been said earlier in a conversation (perhaps over many days of interaction with a user). As the conversation's length grows, the memory management agent will move information from the input context to a persistent searchable database; summarize information to keep relevant facts in the input context; and restore relevant conversation elements from further back in time. This allows a chatbot to keep what's currently most relevant in its input context memory to generate the next response. When I read the original MemGPT paper, I thought it was an innovative technique for handling memory for LLMs. The open-source Letta framework, which we'll use in this course, makes MemGPT easy to implement. It adds memory to your LLM agents and gives them transparent long-term memory. In detail, you’ll learn: - How to build an agent that can edit its own limited input context memory, using tools and multi-step reasoning - What is a memory hierarchy (an idea from computer operating systems, which use a cache to speed up memory access), and how these ideas apply to managing the LLM input context (where the input context window is a "cache" storing the most relevant information; and an agent decides what to move in and out of this to/from a larger persistent storage system) - How to implement multi-agent collaboration by letting different agents share blocks of memory This course will give you a sophisticated understanding of memory management for LLMs, which is important for chatbots having long conversations, and for complex agentic workflows. Please sign up here!

New short course: LLMs as Operating Systems: Agent Memory, created with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM's input context window has limited space. Using a longer input context also costs more and results in slower processing. So, managing what's stored in this context window is important. In the innovative paper MemGPT: Towards LLMs as Operating Systems, its authors (which include the instructors) proposed using an LLM agent to manage this context window. Their system uses a large persistent memory that stores everything that could be included in the input context, and an agent decides what is actually included. Take the example of building a chatbot that needs to remember what's been said earlier in a conversation (perhaps over many days of interaction with a user). As the conversation's length grows, the memory management agent will move information from the input context to a persistent searchable database; summarize information to keep relevant facts in the input context; and restore relevant conversation elements from further back in time. This allows a chatbot to keep what's currently most relevant in its input context memory to generate the next response. When I read the original MemGPT paper, I thought it was an innovative technique for handling memory for LLMs. The open-source Letta framework, which we'll use in this course, makes MemGPT easy to implement. It adds memory to your LLM agents and gives them transparent long-term memory. In detail, you’ll learn: - How to build an agent that can edit its own limited input context memory, using tools and multi-step reasoning - What is a memory hierarchy (an idea from computer operating systems, which use a cache to speed up memory access), and how these ideas apply to managing the LLM input context (where the input context window is a "cache" storing the most relevant information; and an agent decides what to move in and out of this to/from a larger persistent storage system) - How to implement multi-agent collaboration by letting different agents share blocks of memory This course will give you a sophisticated understanding of memory management for LLMs, which is important for chatbots having long conversations, and for complex agentic workflows. Please sign up here!

Andrew Ng

200,752 Aufrufe • vor 1 Jahr

Claude certified architect highest paid AI job Claude announced their course to become a "claude certified architect" and you can become one for free today. many people are offering courses for tens of thousands, but now Claude is offering it all for free on their website. I started diving into their material and its impressive how deep it goes it covers everything from: > Agentic Architecture & Orchestration (27%) > Tool Design & MCP Integration (18%) > Claude Code Configuration & Workflows (20%) > Prompt Engineering & Structured Output (20%) > Context Management & Reliability (15%) sign up here:

Claude certified architect highest paid AI job Claude announced their course to become a "claude certified architect" and you can become one for free today. many people are offering courses for tens of thousands, but now Claude is offering it all for free on their website. I started diving into their material and its impressive how deep it goes it covers everything from: > Agentic Architecture & Orchestration (27%) > Tool Design & MCP Integration (18%) > Claude Code Configuration & Workflows (20%) > Prompt Engineering & Structured Output (20%) > Context Management & Reliability (15%) sign up here:

Tim Haldorsson

330,127 Aufrufe • vor 3 Monaten

Slack has rolled out a new plugin that allows you to connect to Slack for search, messaging, document creation and more. Use this to get context from Slack into Claude Code so it has context on what you're working on or to post updates.

Slack has rolled out a new plugin that allows you to connect to Slack for search, messaging, document creation and more. Use this to get context from Slack into Claude Code so it has context on what you're working on or to post updates.

Thariq

141,579 Aufrufe • vor 4 Monaten

Claude Code can now connect to remote MCP servers. Pull context from your tools directly into Claude Code with no local setup required.

Claude Code can now connect to remote MCP servers. Pull context from your tools directly into Claude Code with no local setup required.

Anthropic

540,378 Aufrufe • vor 1 Jahr

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.

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

19,640 Aufrufe • vor 22 Tagen