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Knowledge Plane serves as a shared memory foundation intended to optimize workflows and improve communication. It empowers teams to operate within their preferred AI tools, such as Cursor and Claude, without creating isolated data environments.
The system aims to unify a team's code, documentation, and communications into an easily accessible and up-to-date knowledge base that is verifiable across different tools. The platform automatically retrieves and refines data from incorporated documents or synchronized GitHub repositories.
Knowledge Plane integrates graph functionalities for relationship modeling with vector embeddings for semantic understanding. It's built to seamlessly integrate with AI agents like Claude and Cursor through the Model Context Protocol (MCP), requiring no specialized integrations.
The system automatically incorporates existing documentation and code to develop knowledge cards. It also provides self-hosting options for teams that want to maintain proprietary context within their own infrastructure.
Knowledge Plane combines graph memory with vector embeddings to facilitate AI agents in reasoning about dependencies, ownership, and timelines.
For security, the system provides workspace isolation, complete audit logs, and scoped API keys.
Knowledge Cards — Fundamental Facts Pulled From Docs. Higher Accuracy Under Limited Context Windows • Skills — Automated Scheduled Tasks That Find Changes And Update Facts Automatically (hourly daily). • Graph Memory With Typed Edges (depends on, Decided by, Owned by) — Agents Can Navigate Chains Of Decisions Like A Senior Team Member Would • Hybrid Retrieval: Graph Traversal + Vector Search Combined • Auto-ingestion From Google Drive, Github Repos, Pdfs, Wikis, Tickets
Combines team's code, documentation, and chats
Avoids context loss
Effective long-term memory
Sophisticated Graph and Vector Model
Dependent on Model Context Protocol
Requires consistent source updating
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Free + from $19/month
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