total-agent-memory

Persistent, local memory for AI coding agents: Claude Code, Codex CLI, Cursor and any MCP client.

total-agent-memory (TAM) is an open-source memory server for AI coding agents. Coding agents start every session without memory of earlier ones, so decisions, fixes and project conventions have to be explained again. TAM stores decisions, solutions, facts, errors and session summaries on your machine and returns them through the Model Context Protocol (MCP), so any MCP client can use it without code changes.

Each store is one directory built around a SQLite database. Recall combines full-text BM25, dense embeddings computed locally, fuzzy matching and a knowledge graph, and fuses the ranked lists with reciprocal rank fusion; an optional cross-encoder can rerank the result. The default profile makes no LLM call on write or search, so retrieval can be measured offline and a rerun gives the same result. Facts can carry validity intervals (`kgaddfact`, `kg_at`), and a newer value of a single-valued f…

TAM is for developers who use coding agents daily and for researchers who need a memory baseline they can run locally, inspect and change. The same package can also run as a team server: personal, department and company areas are separate stores behind one gateway, with roles, authorship and an audit trail (team server).