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embedmind-core
The EmbedMind memory engine: an embedded, single-file, crash-safe store for AI-agent memory — vector (HNSW) + full-text + graph — in pure Rust, with zero network dependencies.
This crate is the engine (the asset). Most users want the ready-to-run tools instead:
embedmind— the CLI and MCP server (cargo install embedmind).embedmind-mcp— the standalone MCP memory server.
What it is
Think SQLite for agent memory: one portable, crash-safe file on your machine — no server process, no cloud, no Python environment.
- Single file (
.mind), WAL-backed for durability. - In-process — the engine links directly into your binary.
- Local by default — nothing leaves the machine; usable air-gapped.
- Embedded embeddings — a quantized ONNX model (all-MiniLM-L6-v2, CPU-only)
is bundled; no API key required. Bring-your-own-embeddings via the
Embeddertrait.
Status
Pre-v0.1, under active development. The .mind file format is a versioned,
public contract (see docs/FORMAT.md).
License
MIT. See the repository.