Launching today
Turnbook
Local long-term memory shared by all your AI agents
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Local long-term memory shared by all your AI agents
1 follower
Turnbook keeps every conversation with your AI agents word for word on your own PC and shares it across all of them over MCP. Saving costs zero model tokens; a question gets back ~3k tokens of evidence. 88.8% on LongMemEval. Free and open source.
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Hi Product Hunt 👋
Every AI agent session starts from zero, and what I decide with one tool doesn't exist in the next. I built Turnbook so they share one memory that stays on my own machine.
How it works:
• Every turn is saved word for word in a local SQLite store. Nothing is summarised or extracted at write time, so saving costs no model tokens and nothing gets lost or invented on the way in.
• When a question depends on the past ("where did we leave off?"), the agent calls one MCP tool and gets back a short evidence packet (~3k tokens) with the source turns.
• Search runs locally on CPU: word search + a multilingual embedding model + when things were said.
• Every MCP app on the PC reads the same memory, and it can be shared across PCs through a synced folder or a Postgres hub.
On LongMemEval (500 questions, same answer model, prompt and official judge for every system; only the memory differs) it scored 88.8%, against 80.4% for agentmemory on the same questions. Every question, answer and verdict is in the repo so you can check it.
Install: pip install turnbook, then turnbook-install.
I'd love feedback, especially from people who use several AI tools side by side. What would you want your agents to remember?