What makes Yourmemory different from other memory tools?
It uses consolidation, biological decay, an entity graph, and hybrid retrieval — not just a vector database. Memory gets sharper over time and recalls what you forgot to ask for.
@sachitrafa
Basic information
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
No standard config provided
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Yourmemory provides persistent, self-improving memory for AI agents, built on the science of how humans remember. It integrates with any MCP client (Claude, Cursor, Cline, Windsurf) and runs entirely on your machine with no API key required.
Install with pip install yourmemory, then run yourmemory-register <your-token> and yourmemory-setup. Optionally download a standalone binary from the latest release. Start the server with no arguments. Works out of the box with DuckDB (default) or Postgres with pgvector for teams.
It uses consolidation, biological decay, an entity graph, and hybrid retrieval — not just a vector database. Memory gets sharper over time and recalls what you forgot to ask for.
Python 3.11–3.14. No Docker or database setup is needed. All memory is stored locally in `~/.yourmemory/` by default (DuckDB). Optionally install Ollama for better local fact extraction.
All data is stored locally on your machine. DuckDB is the default backend; you can switch to Postgres with the pgvector extension for shared or production use.
Each memory ages on an Ebbinghaus forgetting curve. Stale, unused facts fade, while frequently recalled ones persist. Different categories (strategy, fact, assumption, failure) have different half‑lives.
Yes. Every read, write, update, delete, and consolidation is appended to a hash‑chained, tamper‑evident audit log. Altering one record breaks the chain.

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