Mnemosyne v0.3.0 — Initial Open Source Release
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Zero-dependency Python 3.11+ context compression and retrieval engine for LLM agents. Reduces context waste by 40-70% with sub-100ms queries.
Highlights:
- Hybrid BM25 + TF-IDF retrieval with 7-signal RRF fusion
- AST chunking (Python), regex+brace chunking (Go, C#, Rust, Java, JS/TS)
- 4-stage compression with control flow preservation
- ARC cache, Bloom filter, staleness detection, daemon mode
- 293 tests, zero runtime dependencies
Get started:
pip install -e .
mnemosyne init
mnemosyne ingest
mnemosyne query "how does auth work"
Dual-licensed: AGPL-3.0 (open source) + Commercial.