pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
Cognee is an open-source platform specifically designed to provide persistent long-term memory for AI agents. It does this by building and maintaining a self-hosted knowledge graph, which allows agents to recall, connect, and act with full context across sessions. The platform ingests data in various formats and continuously constructs the knowledge graph, leveraging both vector embeddings for semantic search and graph reasoning for understanding relationships. It also incorporates cognitive-science-grounded ontology generation, enabling documents to be searchable by meaning and connected by evolving relationships. Key benefits include the ability to unify data from different sources into a 'Company Brain' for agents, provide robust knowledge infrastructure with local vector/graph search and ontology grounding, and support persistent, learning agents through context management and cross-agent knowledge sharing. Cognee also focuses on reliable and trustworthy agents by offering user/tenant isolation, traceability, and audit traits. Its API provides core operations like `remember` (for permanent knowledge graph storage or session memory), `recall` (with auto-routing for optimal search), and `forget`. It integrates with AI agents like Claude Code via plugins to capture tool calls and sync them to the knowledge graph.
https://github.com/topoteretes/cognee
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
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