{"repo":"archit15singh/memori","free":true,"listed":false,"github":"https://github.com/archit15singh/memori","clone":"git clone https://github.com/archit15singh/memori.git","description":"Persistent memory for AI coding agents — SQLite + FTS5 + vector search in a single file","language":"Rust","stars":25,"topics":["ai-agents","cli","memory","ai-agent","claude-code","developer-tools","embeddings","fts5","llm","rust"],"license":"MIT","category":"ai-agents","readme_excerpt":"Memori Persistent memory for AI coding agents — Rust + SQLite + FTS5 + vector search in a single file. AI agents forget everything between sessions. Memori gives them a persistent memory layer that accumulates knowledge over time — so every session starts with the context it needs, not from zero. Status: v0.7.0 released Jul 2026 (CHANGELOG) · Platforms: Linux, macOS (Intel + Apple Silicon), Windows · No API keys, no cloud, no LLM dependency --- What you get - Session continuity — your agent remembers the bug from yesterday, the architecture decision from last week, that you prefer Tailwind over Bootstrap. - Zero config — one SQLite file stores text, 384-dim embeddings, JSON metadata, access stats. Copy it, back it up, delete it. - No external services — embedding model ships with the binary. No OpenAI calls, no cloud vector DB, no rate limits. - Hybrid search in milliseconds — FTS5 full-text + cosine vector fused with Reciprocal Rank Fusion. Text queries auto-vectorize. - Agents that don't bloat — cosine-similarity dedup prevents thousands of near-duplicate memories. - Memories that matter surface first — decay scoring prioritizes frequently-accessed recent knowledge; stale ones fade. --- Install Pre-built wheels ship for Linux, macOS (Intel + Apple Silicon), and Windows — Python 3.9–3.13. The embedding model is bundled and cached on first run ( 90MB to /.fastembed cache/ ); no network after install. Other install methods First source build compiles the Rust core with bundled","default_branch":null,"files":null,"tree":[],"storefront":"/r/archit15singh","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/archit15singh/memori/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}