Nobrainr

AI agents often struggle with context retention across sessions, machines, and projects, leading to repetitive explanations and lost productivity. Nobrainr solves this by offering a self-hosted memory service that equips agents with persistent, searchable memory, allowing them to recall past learnings instantly. It automatically extracts entities and relationships to build a comprehensive knowledge graph, ensuring that all learned information, from tricky Docker fixes to project conventions, is readily available and continuously refined through autonomous learning jobs, all powered by local PostgreSQL, pgvector, and Ollama.

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