Mnemo Offers Local-First AI Memory for LLMs
TL;DR. Mnemo released an open-source, local-first AI memory layer for large language models, enabling persistent knowledge graphs without cloud reliance. - The service extracts entities and relationships, building a SQLite knowledge graph for context injection in future prompts. - It supports Ollama, OpenAI, Anthropic, and other OpenAI-compatible APIs, operating as a single static binary. - Mnemo aims to prevent LLMs from "forgetting" conversation context, enhancing long-term conversational intelligence.
- Mnemo is a local-first AI memory layer designed for LLMs, featuring a persistent knowledge graph.
- It extracts entities and relationships from conversations, storing them in SQLite and an in-memory petgraph.
- The service injects relevant context into future LLM prompts, working with various APIs including Ollama and OpenAI.
- Mnemo operates as a single static binary, requiring no cloud dependencies for its core functionality.
- It processes context retrieval through a 6-stage pipeline, including full-text search and graph expansion.