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New Rust knowledge base 'semantic-memory' offers local AI agent persistence

A new Rust-based knowledge base called semantic-memory has been released, designed for local AI agent and RAG applications. It offers persistent memory without cloud reliance, featuring hybrid search (BM25, vector, reciprocal rank fusion) and typed graph edges for storing facts and documents. The system supports embedding backends like Candle (default, CPU-only) and Ollama, ensuring it runs locally without API keys or external services. AI

IMPACT Enables local-first AI agent memory and RAG applications without cloud dependencies.

RANK_REASON The release of a new software tool for AI applications.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Rust knowledge base 'semantic-memory' offers local AI agent persistence

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/RudeChocolate9217 ·

    semantic-memory: a local-first knowledge base in Rust with Candle embeddings (Ollama optional), MCP server, and typed graph edges

    <!-- SC_OFF --><div class="md"><p>I've been building a local-first semantic memory system in Rust for the past <br /> few months and just published it to crates.io. It's designed for AI agents and <br /> RAG applications that need persistent memory without sending anything to the…