Open memory engine + code intelligence for AI agents
Project description
nexor-mneme
Persistent memory + code-intelligence for AI agents — a knowledge layer you self-host.
nexor-mneme is the open memory engine of the Nexor project
(mneme, μνήμη — "memory"). It gives agents long-term semantic memory and a queryable
structural map of your codebase, so they answer "what did we decide" and "what calls this
function / what's the blast radius" without re-reading everything.
Dependency-light core; heavier capabilities are optional extras. Run it standalone — no dependency on anyone's personal orchestrator or daemon.
What's inside
- Semantic memory — hybrid (dense+sparse) retrieval over Qdrant, cross-encoder reranking, forgetting, contradiction & entity resolution, auto-profile.
- Progressive layering (L0→L3) — a semantic pyramid with provenance + deterministic drill-down from an abstraction to its evidence.
- Code structure graph — multi-language (Python via stdlib
ast; JS/TS/Go via tree-sitter), precise resolution via SCIP ingest, blast-radius queries, PageRank repo-map, community detection, incremental cache — landed in Apache AGE. - Symbolic task memory — Mermaid task canvases with offload-by-reference.
- Obsidian export — a human-browsable, interlinked vault of the whole graph.
- Standalone service — a FastAPI server + docker-compose (
serverextra).
Install
pip install nexor-mneme # core memory + code graph (Python)
pip install "nexor-mneme[codegraph]" # + tree-sitter (JS/TS/Go)
pip install "nexor-mneme[scip]" # + SCIP precise resolution
pip install "nexor-mneme[server]" # + FastAPI standalone service
Run your own instance
git clone https://github.com/nexorhq/nexor-mneme && cd nexor-mneme/deploy
docker compose up -d # API on http://localhost:8200
curl http://localhost:8200/health
See the deploy guide.
License
MIT — see LICENSE.
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