Living Brain - Interoperable, efficient memory layer for agentic AI
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Every AI conversation contains knowledge worth keeping, but most of it gets trapped in separate chats and tools. Living Brain captures that knowledge, connects it to what you already know, and turns it into a persistent memory that keeps evolving. Share that intelligence across AI models, apps, and agents through API, SDK, or MCP, so every new interaction builds on the last instead of starting over.
Reuse memory across ChatGPT, Claude, Gemini, OpenClaw, Hermes, Cursor, Codex and more
Replies
Definitely interesting, would love to test it out,
From where to try it?
@chandrashekran_y you can try this out directly on livingbrain.com, and refer to docs.livingbrain.com if you need help!
interesting prodcut! can I use this across coding agents? I generally use cursor - how easy is integration?
@nitesh_tripathi Very easily set up! You can use Living Brain across coding agents. Please visit here for more information: https://docs.livingbrain.com/
Thank you for your support!
I like that you can inspect why a memory was kept, with Freshness, Strain and Readiness indicators. In my own product, the hardest part of any memory is knowing when it has gone stale. How do you decide that a memory is deprecated: by age, by contradiction with newer input, or by the user's feedback?
congrats on the launch christel. to your question, which pages actually convert and which just get traffic. agents forget that every session -> if memory also kept why i rejected a draft last week that alone would help
@agshin_rajabov Thank you, exactly! Agents should remember why a draft was rejected or a page did/didn’t convert and that context should carry across sessions. Excited for you to try Living Brain!
@agshin_rajabov Thanks, nice question and I want to answer also! And yes, that's the case we built for. A rejected draft plus the reason is exactly what Living Brain keeps: Placement ties it to the right project, Re-entry brings it back when relevant, so your agent won't re-suggest what you already turned down. The reasoning travels, not just the outcome.
Being able to inspect the sources behind a memory matters as much as carrying it between tools. I'd want to trace an old decision back to its source and correct it once when the project changes.
@oleksii_sekundant Living Brain UI was built for this! thanks for sharing :)
The Freshness and Strain signals are the part I'd actually use: stale memory quietly beating newer context is the failure I keep running into. When two connected tools write conflicting facts into the same brain, which one wins, and can I see the conflict?
@xueqing_liu Great question. When new material contradicts an existing page, it is marked contested, keeping both claims visible for review. You can inspect the sources behind the page, trace each claim back to its originating capture.
Freshness and Strain are health signals,: they help surface what may need attention, but the evidence and the decision remain inspectable. More here: https://docs.livingbrain.com/docs/pages and https://docs.livingbrain.com/docs/brain-health