Membase

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Membase

Membase

@mem_base

Universal memory for your AI agents. Sync all your context in one place and plug it into any agents.

San Francisco, CA Beigetreten Nisan 2025
4 Folgt376 Follower
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Joshua Park
Joshua Park@JoshuaIPark·
This is how you can solve context rot problems in Claude(actually most of the agents). Even if you started a new session, Membase lets you keep on the same context, and provides only the relevant context based on your knowledge graph.
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Joshua Park
Joshua Park@JoshuaIPark·
Introducing Membase Plugin for @openclaw🦞 If you're using the default memory setup in OpenClaw, you're wasting tokens and performance. Use @mem_base as your core memory to: - Maintain the same context across sessions and agents - Save 90% of tokens by retrieving only what you need (instead of the entire MEMORY.md and daily logs) - Provide richer context for OpenClaw by connecting emails, calendars, and other sources One of our users is using Membase to let multiple OpenClaw agents share the same task context!! More details on our GitHub. Star us and stay tuned! github.com/aristoapp/open…
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Joshua Park
Joshua Park@JoshuaIPark·
Now you can import your chat history from ChatGPT, Claude, and Gemini to Membase. 1. Membase automatically builds your personal Knowledge Graph with your history. 2. You can plug it into any agent and give them full context about you. 3. It retrieves only the relevant context for your request, without loading the entire MEMORY.md, wasting tokens, or causing context rot.
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Joshua Park
Joshua Park@JoshuaIPark·
You can turn any agent into a personal CRM with @mem_base! It's live-synced with my emails and calendars and selectively pulls related context from them. Also available in any agent, such as ChatGPT, Gemini, Claude Code, OpenClaw, OpenCode, etc.
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Juan Luis Hortelano
Juan Luis Hortelano@jlhortelano·
Llevo unas semanas probando @mem_base de @JoshuaIPark y me parece muy util. Es un MCP de memoria persistente para Claude y otros modelos. Lo que hace es simple: recordar. Entre sesiones, entre proyectos, entre conversaciones. Porque el mayor problema de trabajar con IA a diario no es la inteligencia del modelo... es que cada vez que abres una conversación nueva, empieza de cero. Con Membase puedes guardar tu sistema de voz, el contexto de tus proyectos, decisiones tomadas, prompts que funcionan. Y recuperarlo todo con una pregunta en lenguaje natural. Sin carpetas. Sin busca ni repetirte. Lo interesante es que no es solo memoria lineal. Construye un grafo de conocimiento con todo lo que guardas, conecta la información entre sí y la entrega automáticamente al agente que la necesita. Le preguntas "¿en qué debería centrarme esta semana?" y tira de tu historial para responderte. Le preguntas "¿quién trabajó en esto?" y lo sabe. Y no se queda solo en Claude, ChatGPT, Cursor u Openclaw. Puedes sincronizar contexto desde Gmail, Calendar, Slack, Notio, Github... La idea es que tu memoria no esté atrapada en cada app por separado, sino en un sitio que todos tus agentes puedan consultar. Yo lo tengo integrado de momento sólo en Claude Desktop (se instala en menos de 5 minutos) y alguna cosa mas y la verdad es que ayuda. Está en beta, hay cosas por pulir, pero el concepto es sólido. Datos encriptados, no entrenan modelos con tu información, y puedes borrarlo todo cuando quieras. Si quieres probarlo creo que está ya en beta abierta, pero si no igual tengo algunas invitaciones que puedo pasar por DM. membase.so
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Seunghyun Kim
Seunghyun Kim@seung_hyuuun·
AI agents are only as smart as the context they can access. We’re making that context fluid. Visualize connections, explore related entities, and sync your full memory graph to every agent you work with. Context is no longer a static file. It’s a living map. @mem_base
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Membase@mem_base·
HUGE UPDATES JUST LANDED! Get your personal memory hub to sync all your context in one place and plug it into any agents. New Features: - Sync with Gmail - @openclaw plugin for Membase - New landing page with docs Also you can now invite friends with an invitation code in the dashboard!
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Joshua Park
Joshua Park@JoshuaIPark·
We just updated Gmail integrations on @mem_base! Now you can: - Auto-digest your emails to the Knowledge Graph - Filter memories by different data sources - Connect with your agents using a single command Next update: @openclaw plugin to sync your context to your bots. We update every week with more features and improvements. Stay tuned!
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Joshua Park
Joshua Park@JoshuaIPark·
🚨 @mem_base v0.2 is now updated! You can now: - Explore your memories in an interactive 3D graph - Live-sync Google Calendar into Membase - Manage connected agents in real time More integrations are added every week! Free beta available at membase.so.
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Membase@mem_base·
RT @JoshuaIPark: Building a 3D memory view for @mem_base. It also shows you how your memory has evolved.
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Joshua Park
Joshua Park@JoshuaIPark·
Introducing @mem_base – 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 @openclaw.
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Membase@mem_base·
RT @JoshuaIPark: We just updated our new landing page for @mem_base to open private access 8 hours later!!
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Joshua Park
Joshua Park@JoshuaIPark·
Already living in the multi‑agent era: juggling different AI agents for different tasks, but their memories are trapped on each platform.​ So every time you switch agents, you’re back to copy‑pasting context, notes, and data sources by hand.​ We’re building a universal memory layer. Permanent, shareable, and auto‑updating, and any agent can plug into.​ Private beta drops next week. If you want early access, join: membase.so.
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Membase@mem_base·
The more tools and agents you use, the more scattered your context becomes. Get your own memory base and sync your latest context everywhere. Private beta starts 12 Jan. Free access for the first 100 people. Reserve your spot: membase.so
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Joshua Park
Joshua Park@JoshuaIPark·
D-9 @kenanhsaleh pointed out a fundamental problem. Our digital memories are scattered across countless tools. Notes, chats, docs, tasks... all detached from each other, and from 'you'. The real issue isn’t where data lives, but the loss of 'context' between moments. Without continuity, no system(not even the smartest agent) can truly understand you. That’s why we’re building Universal Memory. A system that collects and connects your context, and makes it universally accessible to any agent you use. So every agent can become deeply personal, built from your own memory, not someone else’s dataset.
Kenan Saleh@kenanhsaleh

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at @a16z @speedrun – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to @Theresa_M_Horne @Avenir_Growth whose excellent research helped inspire some of these insights.

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