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Rust-based semantic-memory knowledge base released for local AI agents

By PulseAugur Editorial · [1 sources] ·

A new Rust-based knowledge base called semantic-memory has been released, designed for AI agents and RAG applications requiring local, persistent memory. It integrates hybrid search capabilities (BM25, vector, and reciprocal rank fusion) with typed graph edges for storing facts and documents. The system offers embedding backends like Candle (pure Rust, CPU-only) and Ollama, ensuring no cloud dependencies or API keys are needed. AI

IMPACT Enables local-first AI agent memory, reducing reliance on cloud services and API keys.

RANK_REASON The item describes a new software tool/library release.

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

Rust-based semantic-memory knowledge base released for local AI agents

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  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…

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