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sahinsamrat75/localmind

Local-first MCP memory server for AI agents

⭐ 4 stars
⑂ 1 forks
TypeScript
momentum ▲ 10.0
created 2026-09-02
on radar since 2026-09-05
View on GitHub ↗

About localmind

Local-first semantic memory for AI agents — now at codebase scale.

localmind is a Model Context Protocol (MCP) server that gives your AI agent persistent memory that never leaves your machine. Memories live in a single SQLite file and are searched with embeddings produced entirely on-device — no API keys, no accounts, no cloud, no telemetry.

v2 adds what you need for whole-codebase memory: an approximate-nearest-neighbour index instead of a linear scan, named project namespaces, an ingestcodebase tool that splits source into functions and classes, incremental re-ingestion that skips unchanged code, and token-budgeted recall so an agent pulls in only what fits.

Tool What it does --- --- remember Store a note, fact or decision (optionally tagged) in a project. recall Semantic search over one project via HNSW. Optional maxtokens bounds the result. forget Delete one memory by id, inside one project. listmemories Browse a project, filterable by tag and/or kind (manual / code). ingestcodebase Index a source tree: walk → chunk at function/class boundaries → embed. Incremental. listprojects List namespaces with counts and index sizes.

Every memory belongs to exactly one project (e.g. pixora, localmind). Isolation is structural, not a filter: each project gets its own vector index file, so a recall in project A physically cannot reach project B's vectors.

Omitting project means the default namespace, which is where v1 memories land after migration — so existing behaviour is preserved exactly.

From the project README.

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