正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

368,372 subscribers

40,458,606 次观看 • 4 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

32 条评论

Biddaddy 的头像

Biddaddy4 个月前

real memory onchain is wild

MagicApe 的头像

MagicApe4 个月前

Waorus Memory lets agents carry context everywhere, big move.

Roaster 的头像

Roaster4 个月前

look good to me, i said this 9/10. not larp, not AI washing. its good

Jundo 的头像

Jundo4 个月前

If this works, every agent platform becomes a commodity

MagicApe 的头像

MagicApe4 个月前

bold claim, let's see how portable this memory really is across apps

Radar 24h 的头像

Radar 24h4 个月前

Thật tiện lợi và linh hoạt cho công việc hằng ngày.

Beo 的头像

Beo4 个月前

finally a solution to context switching headaches

Meow 的头像

Meow3 个月前

cảm giác cái này tiện thật sự

Nina 的头像

Nina4 个月前

finally someone built this

GuruVerseX 的头像

GuruVerseX4 个月前

this actually feels like the missing piece for AI agents forever, finally my agents can carry my vibe across every app without the amnesia hits different

Bé Dâu 2k5 的头像

Bé Dâu 2k54 个月前

Kỳ nhông cũng biết thưởng thức pizza

Đức Ca Ca 🇻🇳 的头像

Đức Ca Ca 🇻🇳4 个月前

Walrus Memory giải phóng sức mạnh của AI thông minh.

WilcosX.eth 的头像

WilcosX.eth4 个月前

finally memory goes portable

Loccj 的头像

Loccj4 个月前

Walrus Memory sounds like a game-changer for AI integration, enabling seamless context continuity across apps. This innovation could vastly enhance user experience by eliminating repetitive data input and bridging platform gaps. Exciting times ahead!

cloutusf 的头像

cloutusf4 个月前

so it's like a portable memory for ai agents across apps? how does that not become a privacy nightmare though 🦭

Hana Trần 的头像

Hana Trần4 个月前

finally a solution for my ai to remember everything

Long 7 的头像

Long 74 个月前

メモリレイヤーがどこにでも持ち運べるのは便利ですね！

Junkies 🔔 的头像

Junkies 🔔4 个月前

chắc lag rồi

Van Quan 的头像

Van Quan4 个月前

finally agents get object perm

Levi 的头像

Levi4 个月前

finally some real memory

Master Cheat Air 的头像

Master Cheat Air4 个月前

This sounds like a game changer! Can't wait to see how it works across different apps.

Chiko Chiko 的头像

Chiko Chiko4 个月前

this actually feels like a real leap, portable memory across apps could finally stop reinventing context

BobVoyage (💙,🧡) | ⛽ 的头像

BobVoyage (💙,🧡) | ⛽4 个月前

Love this! Memory layers are definitely the missing piece for AI agents. Curious how it handles context switching between apps 🚀

Louis B 的头像

Louis B3 个月前

looks like another AI helper trying to simplify stuff

𝑽𝒊𝒗𝒊.𝒂𝒏𝒂𝒂𝒂 的头像

𝑽𝒊𝒗𝒊.𝒂𝒏𝒂𝒂𝒂3 个月前

portable memory looks fire

Beo 的头像

Beo4 个月前

game changer for ai assistants

StarShipX 的头像

StarShipX4 个月前

新しい機能ですね！興味深いです。どんなアプリでもコンテキストを維持するのは便利ですね。

Ann Murillo 的头像

Ann Murillo4 个月前

Passionate explorer. Music expert. Beer guru. Social media fanatic. Professional pop culture nerd. Devoted entrepreneur. Food geek. YfXjkH

Như Ngọc Nguyễn 的头像

Như Ngọc Nguyễn4 个月前

Đừng tin vào tin giả bịa đặt.

Louis B 的头像

Louis B4 个月前

that's a game changer for ai workflows

アキラ的头像

アキラ4 个月前

Sẽ tiện lợi hơn trong công việc đa nhiệm.

₿lock 的头像

₿lock4 个月前

GM☕️🌞

相关视频

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!

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!

Cole Medin

30,305 次观看 • 4 个月前

Introducing MemSync. A unified memory layer that lets your context travel with you. No more explaining who you are. No more lost prompts. No vendor lock-in. First 500 people to like, RT, and comment "MemSync" will receive 30 days Pro free. (Link below)

Introducing MemSync. A unified memory layer that lets your context travel with you. No more explaining who you are. No more lost prompts. No vendor lock-in. First 500 people to like, RT, and comment "MemSync" will receive 30 days Pro free. (Link below)

MemSync

12,539 次观看 • 1 年前

Introducing Membase – portable and persistent memory for your agents. Keep all your context in one place and simply plug it into any agent. We just opened private beta access. Get Membase and make every AI understand you. *Also available in .

Introducing Membase – portable and persistent memory for your agents. Keep all your context in one place and simply plug it into any agent. We just opened private beta access. Get Membase and make every AI understand you. *Also available in .

Joshua Park

18,238 次观看 • 9 个月前

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

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

26,580 次观看 • 3 个月前

Everyone’s building more AI agents. Almost nobody is building a way for them to share your memory. MemU just did. Your AI now remembers you across every device and every agent, getting smarter after every conversation instead of starting from zero. This changes how personal AI actually works. 👇

Everyone’s building more AI agents. Almost nobody is building a way for them to share your memory. MemU just did. Your AI now remembers you across every device and every agent, getting smarter after every conversation instead of starting from zero. This changes how personal AI actually works. 👇

Atul Kumar

80,369 次观看 • 3 个月前

Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls on demand • An offline “dreaming” pipeline that consolidates memory in the background Agents carry forward user preferences, prior corrections, metric definitions and successful workflows instead of rediscovering them every session. On our internal benchmark built from real enterprise data, MemCurrent triples the agent's pass rate while using 31% fewer tokens and running 26% faster. It's built into Agent Bricks' Memory offering and already powers memory in Genie. Read the research:

Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls on demand • An offline “dreaming” pipeline that consolidates memory in the background Agents carry forward user preferences, prior corrections, metric definitions and successful workflows instead of rediscovering them every session. On our internal benchmark built from real enterprise data, MemCurrent triples the agent's pass rate while using 31% fewer tokens and running 26% faster. It's built into Agent Bricks' Memory offering and already powers memory in Genie. Read the research:

Databricks

41,579 次观看 • 6 天前

Introducing the OpenMemory Chrome Extension! 🎉 Shared memory you can carry across ChatGPT, Claude, Perplexity, Grok, Gemini & more. Think universal context, synced across every AI assistant you use. It's free and opensource. Try it Now!

Introducing the OpenMemory Chrome Extension! 🎉 Shared memory you can carry across ChatGPT, Claude, Perplexity, Grok, Gemini & more. Think universal context, synced across every AI assistant you use. It's free and opensource. Try it Now!

Taranjeet

184,964 次观看 • 1 年前

AI can write a 10,000-word essay in seconds… but forgets you just told it your name yesterday. Engramme is trying to fix that. Memory that sticks. Context that follows you. Across every app. This might be the missing layer AI needed.

AI can write a 10,000-word essay in seconds… but forgets you just told it your name yesterday. Engramme is trying to fix that. Memory that sticks. Context that follows you. Across every app. This might be the missing layer AI needed.

Sripathi Teja

27,803 次观看 • 6 个月前

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

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 次观看 • 2 个月前

agents with goldfish memory were getting kinda old so we shipped evolve one click and your agent reviews its past runs keeps the signals that actually mattered writes them back into memory then carries that context into the next run same agent more context less relearning the same lesson evolve is live on neotrade

agents with goldfish memory were getting kinda old so we shipped evolve one click and your agent reviews its past runs keeps the signals that actually mattered writes them back into memory then carries that context into the next run same agent more context less relearning the same lesson evolve is live on neotrade

NeoSoul

96,526 次观看 • 1 个月前

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

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

46,316 次观看 • 4 个月前

holy sh*t. this is f**king insane. langchain just documented the missing memory layer for agents that are supposed to improve after every run. instead of stuffing everything into one giant prompt, deep agents can keep long-term memory, reusable skills and lessons from previous tasks. [it takes a few minutes to understand the loop] 1/ run the task 2/ save what actually worked 3/ load that lesson into the next run that’s how an agent stops starting from zero every single time.

holy sh*t. this is f**king insane. langchain just documented the missing memory layer for agents that are supposed to improve after every run. instead of stuffing everything into one giant prompt, deep agents can keep long-term memory, reusable skills and lessons from previous tasks. [it takes a few minutes to understand the loop] 1/ run the task 2/ save what actually worked 3/ load that lesson into the next run that’s how an agent stops starting from zero every single time.

Gipp 🦅

33,704 次观看 • 1 个月前

MemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage. - Multiple agents read/write the same memory — no manual context handoff - 72% lower token costs (15.6M → 4.4M on LOCOMO dataset) - Cross-session and long-term memory that actually works Sponsored

MemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage. - Multiple agents read/write the same memory — no manual context handoff - 72% lower token costs (15.6M → 4.4M on LOCOMO dataset) - Cross-session and long-term memory that actually works Sponsored

🚨 AI News | TestingCatalog

41,040 次观看 • 8 个月前

make your AI agents so good, they might replace you Hyperspell (YC F25) gives AI memory and context across all your tools

make your AI agents so good, they might replace you Hyperspell (YC F25) gives AI memory and context across all your tools

conor brennan-burke

41,084 次观看 • 1 年前

Introducing MemSync, the first unified memory layer that works across all your apps and AI agents. We're backed by a16z crypto, SV Angel, Coinbase 🛡️ Ventures, and the co-creator of the Transformer architecture, Illia (root.near) (🇺🇦, ⋈). MemSync is like Plaid for memory, enabling you to carry your personal memory across every AI agent. How it works: 1. Learn. MemSync learns key facts about you from each conversation. 2. Lock. Those facts go into a vault that only you control — no one else touches them. 3. Sync. Next time you open a new chat, MemSync grabs the right facts and feeds them to the agent so you can pick up right where you left off. We built MemSync after hearing from 1M+ BitQuant users who faced 3 brutal pains: 1. Re-teaching every chatbot who you are. Now, your portable profile follows you into ChatGPT, Claude, and more. 2. Prompt history is easy to lose. MemSync surfaces every past gem with ⌘-I — no more digging through histories. 3. Amnesia. MemSync bridges token limits so long chats stay sharp (without blowing your token budget). If you’ve made it this far, we have a surprise for you. 👇 First 500 to comment "MemSync" get 30 days of Pro for free. (Link below)

MemSync

33,132 次观看 • 1 年前

EverMe × Kimi Code Kimi.ai Kimi Developers Kimi Code now has shared memory. Connect Kimi Code to EverMe Memory with one prompt, carry context across sessions, agents, machines, and operating systems, and turn what it learns into reusable Skills. Less cold start. More continuity. EverMe: Kimi Code:

EverMe × Kimi Code Kimi.ai Kimi Developers Kimi Code now has shared memory. Connect Kimi Code to EverMe Memory with one prompt, carry context across sessions, agents, machines, and operating systems, and turn what it learns into reusable Skills. Less cold start. More continuity. EverMe: Kimi Code:

EverMind

79,175 次观看 • 3 个月前

HERMES AGENT JUST GOT A FULL NATIVE DESKTOP APP. MULTI-AGENT MANAGEMENT, PERSISTENT MEMORY AND AUTONOMOUS WORKFLOWS ALL IN ONE PLACE. No more CLI only. Run your 24/7 self-evolving AI agent from a proper desktop UI.

HERMES AGENT JUST GOT A FULL NATIVE DESKTOP APP. MULTI-AGENT MANAGEMENT, PERSISTENT MEMORY AND AUTONOMOUS WORKFLOWS ALL IN ONE PLACE. No more CLI only. Run your 24/7 self-evolving AI agent from a proper desktop UI.

0xMarioNawfal

189,757 次观看 • 5 个月前

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

Ronin

15,071 次观看 • 2 个月前

We’re launching the Letta Code app, built for memory-first agents that get better the more you use them.

We’re launching the Letta Code app, built for memory-first agents that get better the more you use them.

Letta

18,270 次观看 • 6 个月前

Anthropic AI engineer just showed how to give AI agents real memory in 4 steps - and it changes everything in 28 minutes he shows exactly how agents can remember across sessions, completely free worth more than any $500 AI engineering course here's what he covers: • why agents forget everything between sessions • memory stores - agents read, write across sessions • dreaming - agents that improve their own memory • 95% cache hit rate, so it stays cheap most people are still copy-pasting context into every new chat - while the people who figured this out are building agents that get smarter every single night watch full video then read article below

Anthropic AI engineer just showed how to give AI agents real memory in 4 steps - and it changes everything in 28 minutes he shows exactly how agents can remember across sessions, completely free worth more than any $500 AI engineering course here's what he covers: • why agents forget everything between sessions • memory stores - agents read, write across sessions • dreaming - agents that improve their own memory • 95% cache hit rate, so it stays cheap most people are still copy-pasting context into every new chat - while the people who figured this out are building agents that get smarter every single night watch full video then read article below

Movez

713,819 次观看 • 5 个月前