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Give AI assistants long-term memory with logged facts, decisions, and history.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-logbook" yet — see the docs or source repo.
Log today's technical decision into the logbook: keep using SQLite for the backend because deployment is simple and maintenance cost is low; also record the date and project name.
The tool stores a traceable decision record for later lookup of rationale and timeline.
Retrieve the known facts in the logbook most relevant to 'customer preferences' and return them ranked by relevance.
Returns a relevance-ranked list of facts so the assistant can continue with context.
Show the full history of facts and decisions recorded in the logbook for a project, organized chronologically.
Outputs the complete project history for review and auditing.
Developers or researchers use it across many sessions so the assistant can retain facts, preferences, and prior decisions without repeated re-explanation.
Product managers or teams record key decisions and their rationale during a project, then retrieve them by relevance and review the full history later.
When an assistant needs to answer using prior facts, it can retrieve relevant entries from the SQLite memory store to reduce missed context.
It helps AI assistants maintain long-term memory by logging facts and decisions to a SQLite database, with relevance-ranked retrieval and full history tracking.
The provided information says it stores records in a SQLite database. Further configuration details are not provided; see the source repository.
The description highlights that it not only stores facts and decisions, but also supports relevance-ranked retrieval and full history tracking, making it better suited for long-term, traceable memory management.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI agents durable memory, observable retrieval, and governed context assembly.
Provide persistent memory for AI agents across sessions and tasks.
Give AI agents persistent memory across sessions with automatic context retrieval.
Provide local-first persistent memory for AI agents across projects.
Give AI agents persistent memory with semantic search and automatic memory management.