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Your AI agent's memory is probably stuck inside one app. Walrus Memory (Walrus) fixes that with an MCP that creates memories as you chat, then can recall them anywhere - Claude Code, Pi, etc. Portable and actually owned by you!

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Cole Medin

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30,305 görüntüleme • 3 ay önce •via X (Twitter)

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Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform.…
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Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform.…

Walrus

40,458,387 görüntüleme • 3 ay önce

We just launched a new primitive for AI Walrus Memory gives your agents persistent, portable memory that you own, and it drops straight into the platforms you already build on. Anthropic Claude, OpenAI ChatGPT, and Google Gemini, you name it plus native MCP and SDKs, added in a few lines of code LIVE TODAY
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We just launched a new primitive for AI Walrus Memory gives your agents persistent, portable memory that you own, and it drops straight into the platforms you already build on. Anthropic Claude, OpenAI ChatGPT, and Google Gemini, you name it plus native MCP and SDKs, added in a few lines of code LIVE TODAY

Adeniyi.sui

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Ready to move your AI memory wherever you want? 😍 Walrus Memory was born with the mission to solve that problem! Independent of any LLM 💧 #Sui #Walrus
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Ready to move your AI memory wherever you want? 😍 Walrus Memory was born with the mission to solve that problem! Independent of any LLM 💧 #Sui #Walrus

Sui Community💧

17,878 görüntüleme • 1 ay önce

Claude just launched "integrations" here's one cool integration that you can use TODAY - Portable memory using MCP! no BS, no login, just copy paste and enjoy. here's a demo.
1:39

Claude just launched "integrations" here's one cool integration that you can use TODAY - Portable memory using MCP! no BS, no login, just copy paste and enjoy. here's a demo.

Dhravya Shah

21,937 görüntüleme • 1 yıl önce

our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use
1:20

our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use

Adeniyi.sui

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You probably don’t use just one AI agent anymore. Maybe Codex for coding. Claude Code for research. Cursor for quick edits. Hermes for the rest. Each one is great at something different. But every time you switch, you have to start over — re-explaining your project, preferences, and the way you like to work. Your agents know how to help you. They just don’t share a memory of you. memU just shipped an update that fixes this. One personal memory, shared across every agent and device you use. What Codex learned last night, Claude Code can remember this morning. 🧵
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You probably don’t use just one AI agent anymore. Maybe Codex for coding. Claude Code for research. Cursor for quick edits. Hermes for the rest. Each one is great at something different. But every time you switch, you have to start over — re-explaining your project, preferences, and the way you like to work. Your agents know how to help you. They just don’t share a memory of you. memU just shipped an update that fixes this. One personal memory, shared across every agent and device you use. What Codex learned last night, Claude Code can remember this morning. 🧵

Hasan

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⚡️ LATEST: Adeniyi.sui walked through what actually sets Walrus Memory apart, and it comes down to three things: - PORTABILITY: Your agent's memory moves with you across apps and runtimes - PROGRAMMABILITY: The access controls travel with the data instead of sitting on someone else's platform - MULTI-AGENT COLLABORATION: Agents can finally share memory and collaborate without having to trust each other or the storage underneath Worth watching 👇
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⚡️ LATEST: Adeniyi.sui walked through what actually sets Walrus Memory apart, and it comes down to three things: - PORTABILITY: Your agent's memory moves with you across apps and runtimes - PROGRAMMABILITY: The access controls travel with the data instead of sitting on someone else's platform - MULTI-AGENT COLLABORATION: Agents can finally share memory and collaborate without having to trust each other or the storage underneath Worth watching 👇

Walrus 🦭/acc

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Did you know that Claude Code can use the browser to QA its own work? 1. Run `claude mcp add playwright -- npx -y @playwright/mcp@latest` 2. Tell Claude where your app is running, e.g localhost:8000 3. Now Claude can click and type to make sure its code is actually working!
1:20

Did you know that Claude Code can use the browser to QA its own work? 1. Run `claude mcp add playwright -- npx -y @playwright/mcp@latest` 2. Tell Claude where your app is running, e.g localhost:8000 3. Now Claude can click and type to make sure its code is actually working!

Sergey Karayev

107,272 görüntüleme • 1 yıl önce

Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.
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Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.

Richie

135,574 görüntüleme • 8 ay önce

Meet Bezalel Bezalel is a capability plane for your agents (claude, codex, OC, hermes, etc) one MCP gives your agent: 💻 computer ⌛️ sandbox 🍎chat via iMessage 📧agent's own email +1k connectors 🧠memory 💳 a card (soon) (it's in alpha and it's free)
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Meet Bezalel Bezalel is a capability plane for your agents (claude, codex, OC, hermes, etc) one MCP gives your agent: 💻 computer ⌛️ sandbox 🍎chat via iMessage 📧agent's own email +1k connectors 🧠memory 💳 a card (soon) (it's in alpha and it's free)

Micky

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The builders on Walrus never cease to amaze me. Collective Memory is the perfect example. Last week, I sat down with Jonathan Saragossi, and I was blown away by what they are building: A social memory layer that is actually censorship resistant. Listen to this👇
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The builders on Walrus never cease to amaze me. Collective Memory is the perfect example. Last week, I sat down with Jonathan Saragossi, and I was blown away by what they are building: A social memory layer that is actually censorship resistant. Listen to this👇

rebecca simmonds 🦭/acc

17,195 görüntüleme • 10 ay önce

Introducing Asterisk MCP - An MCP server that fixes security vulnerabilities while you vibe code. Supports Cursor, Windsurf, Cline, Claude, and any IDE that supports the model context protocol. It can perform codebase-wide scans, analyze snippets in your conversation history, and verify changes/fixes for security issues. mcp dot asterisk dot so
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Introducing Asterisk MCP - An MCP server that fixes security vulnerabilities while you vibe code. Supports Cursor, Windsurf, Cline, Claude, and any IDE that supports the model context protocol. It can perform codebase-wide scans, analyze snippets in your conversation history, and verify changes/fixes for security issues. mcp dot asterisk dot so

mufeed vh

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knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.
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knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.

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Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.
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Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.

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Project LUCI = AI Pin + Real-world memories + 🦞 We're turning AI from something you prompt into an assistant that actually knows you. Powered by Memories AI for visual memory and OpenClaw for real-world action. Join the waitlist.
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Project LUCI = AI Pin + Real-world memories + 🦞 We're turning AI from something you prompt into an assistant that actually knows you. Powered by Memories AI for visual memory and OpenClaw for real-world action. Join the waitlist.

Memories.ai

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HERMES AGENT CAN SHARE MEMORY WITH CODEX AND CLAUDE CODE THROUGH HINDSIGHT. ONE MEMORY BANK. ONE AGENT REMEMBERS, EVERY OTHER AGENT KNOWS. the problem: you use Hermes for orchestration. Codex for coding. Claude Code for debugging. each has its own memory. switch between them and you explain the same project three times. Hindsight fixes this. one shared memory bank that every agent reads and writes to. tell Codex: "the test color for this project is purple." switch to Hermes. ask: "what test color did I pick?" Hermes answers: "purple." no copy-paste. no re-explaining. instant recall. HOW IT WORKS: Hindsight runs as a Docker container on your machine. self-hosted. your data stays local. an LLM powers the memory processing (retain, recall, reflect). RETAIN: extracts facts from your conversations. entities, decisions, preferences, project context. saved to the memory bank automatically. RECALL: when you ask a question, Hindsight pulls from semantic search, keywords, graph connections, and temporal data. fused into one answer. REFLECT: deeper reasoning layer. connects memories across sessions. identifies patterns in your work. produces observations that get smarter over time. CONNECT TO HERMES: Desktop app: Settings → Memory and Context → switch provider from Namosin to Hindsight. set API URL to your local Docker container. set bank ID. done. CLI: hermes memory setup → select Hindsight. verify: hermes memory status should show: provider: hindsight, installed, available. CONNECT TO CODEX: npx hindsight-coding-agents install codex \ --self-hosted --server this installs lifecycle hooks: initialize memory on session start. recall context during work. retain the session when done. enable hooks in Codex: Settings → Hooks → trust all three. CONNECT TO CLAUDE CODE (same command): npx hindsight-coding-agents install all "all" connects every detected agent on your machine. Claude Code, Codex, Cursor, and others. one command. every agent shares the same bank. TAGS FOR FILTERING: every memory gets tagged by harness (Hermes, Codex, Claude Code) and optionally by project name. in the Hindsight control plane: filter by harness. see only Hermes memories. or only Codex memories. or search across everything. soft partitions inside one bank. not hard walls. cross-reference when you need to. ONE BANK OR MANY: one global bank: solo dev, related projects. all agents share everything. patterns emerge across projects. per-project banks: unrelated codebases. each project gets its own memory. no cross-contamination. your call. start with one. split when projects diverge. KNOWLEDGE PAGES (v0.9.0): Hindsight auto-generates living summaries from your accumulated memories. components, concepts, conventions, decisions. not static docs. projected from real agent conversations. auto-refresh as new memories land. WHAT TO KNOW: self-hosted via Docker. your data never leaves your machine. backup system built in (admin CLI + scheduled exports). works with any LLM (local Ollama, OpenAI, Codex subscription). memory defense: redact or block sensitive content automatically. 33,000+ memories accumulated in ~10 days of normal use.
34:12

HERMES AGENT CAN SHARE MEMORY WITH CODEX AND CLAUDE CODE THROUGH HINDSIGHT. ONE MEMORY BANK. ONE AGENT REMEMBERS, EVERY OTHER AGENT KNOWS. the problem: you use Hermes for orchestration. Codex for coding. Claude Code for debugging. each has its own memory. switch between them and you explain the same project three times. Hindsight fixes this. one shared memory bank that every agent reads and writes to. tell Codex: "the test color for this project is purple." switch to Hermes. ask: "what test color did I pick?" Hermes answers: "purple." no copy-paste. no re-explaining. instant recall. HOW IT WORKS: Hindsight runs as a Docker container on your machine. self-hosted. your data stays local. an LLM powers the memory processing (retain, recall, reflect). RETAIN: extracts facts from your conversations. entities, decisions, preferences, project context. saved to the memory bank automatically. RECALL: when you ask a question, Hindsight pulls from semantic search, keywords, graph connections, and temporal data. fused into one answer. REFLECT: deeper reasoning layer. connects memories across sessions. identifies patterns in your work. produces observations that get smarter over time. CONNECT TO HERMES: Desktop app: Settings → Memory and Context → switch provider from Namosin to Hindsight. set API URL to your local Docker container. set bank ID. done. CLI: hermes memory setup → select Hindsight. verify: hermes memory status should show: provider: hindsight, installed, available. CONNECT TO CODEX: npx hindsight-coding-agents install codex \ --self-hosted --server this installs lifecycle hooks: initialize memory on session start. recall context during work. retain the session when done. enable hooks in Codex: Settings → Hooks → trust all three. CONNECT TO CLAUDE CODE (same command): npx hindsight-coding-agents install all "all" connects every detected agent on your machine. Claude Code, Codex, Cursor, and others. one command. every agent shares the same bank. TAGS FOR FILTERING: every memory gets tagged by harness (Hermes, Codex, Claude Code) and optionally by project name. in the Hindsight control plane: filter by harness. see only Hermes memories. or only Codex memories. or search across everything. soft partitions inside one bank. not hard walls. cross-reference when you need to. ONE BANK OR MANY: one global bank: solo dev, related projects. all agents share everything. patterns emerge across projects. per-project banks: unrelated codebases. each project gets its own memory. no cross-contamination. your call. start with one. split when projects diverge. KNOWLEDGE PAGES (v0.9.0): Hindsight auto-generates living summaries from your accumulated memories. components, concepts, conventions, decisions. not static docs. projected from real agent conversations. auto-refresh as new memories land. WHAT TO KNOW: self-hosted via Docker. your data never leaves your machine. backup system built in (admin CLI + scheduled exports). works with any LLM (local Ollama, OpenAI, Codex subscription). memory defense: redact or block sensitive content automatically. 33,000+ memories accumulated in ~10 days of normal use.

YanXbt

29,658 görüntüleme • 1 ay önce

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit
27:26

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit

NO1ennn

13,015 görüntüleme • 1 ay önce

Six-time USA Memory Champion, Nelson Dellis, joins me on this week’s Chasing Life to dispel the notion that bad memory is something you just have to accept, and he explains how we can all construct our own “memory palace” to keep our recall sharp. “‘I have a terrible memory, I’m terrible with names.' This is actually something you can work on.” Full episode here: and wherever you get your podcasts.
0:59

Six-time USA Memory Champion, Nelson Dellis, joins me on this week’s Chasing Life to dispel the notion that bad memory is something you just have to accept, and he explains how we can all construct our own “memory palace” to keep our recall sharp. “‘I have a terrible memory, I’m terrible with names.' This is actually something you can work on.” Full episode here: and wherever you get your podcasts.

Dr. Sanjay Gupta

12,975 görüntüleme • 3 ay önce

AskYourPDF is an AI assistant chatbot app that lets you chat with your PDF, Powered by ChatGPT, Claude and GPT4 👉 Tap in & Discover a New Way to Interact with your Documents! 👈
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AskYourPDF is an AI assistant chatbot app that lets you chat with your PDF, Powered by ChatGPT, Claude and GPT4 👉 Tap in & Discover a New Way to Interact with your Documents! 👈

Ask PDF 💬📚

36,558,938 görüntüleme • 3 yıl önce

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.
0:39

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

20,611 görüntüleme • 3 ay önce