supermemory (@supermemory) / X

supermemory

1,236 posts

supermemory

@supermemory

The memory and context cloud for AI agents Get your company brain now - supermemory.link/brain supermemory.ai

San Francisco, CA

Joined May 2024

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supermemory
@supermemory
Jul 27
Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇
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supermemory
@supermemory
21h
Introducing the new supermemory MCP We launched the MCP last year, and have seen people do incredible things with it The MCP is also open source!
Dhravya Shah
@DhravyaShah
21h
Introducing the new @supermemory mcp - Now works with teams with permission control etc. built in - Shared context between claude/cursor/codex/opencode - Interactive components (watch till the end) get started here - supermemory.ai/docs/supermemo…
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supermemory
@supermemory
Jul 30
Supermemory has signed the Open Weights and American AI Leadership letter, alongside Google, Microsoft, Meta, NVIDIA, Hugging Face, and others Our core mission involves building a model-agnostic context layer for the AI age. To make this a reality, we build primarily on open
Jensen Huang
@JensenHuang
Jul 24
For my first post, I’m sharing a letter @nvidia signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
supermemory
@supermemory
Jul 30
<localhost:6767> is officially a wrap, announcing our winners 🎊 After cross checking judge scores + code depth + how load-bearing supermemory was in each build, here are the winners: 🥇 Propagate: @heyhaigh A farm simulation game where NPCs, crops, and world state persist
supermemory
@supermemory
Jul 25
context for agents should be like lego ! 🤖 @supermemory is the memory layer for AI agents, context infrastructure as blocks you compose, all in one API. the blocks: → user profiles: built from behavior: intent, preferences, context → memory graph: ontology aware edges.
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