Exposes your Google Drive, Slack, GitHub, and Railway to MCP clients with semantic search, per-user permissions, and optional OAuth, allowing natural-language access to your private data and infrastructure.
Provides persistent, multi-tenant knowledge graph memory for MCP-capable AI tools, allowing them to recall and store entities, observations, and relations across sessions with keyword search.
Enables AI assistants to have a living memory with atomic knowledge storage, multi-factor recall, organic decay, automatic learning, and graph traversal via MCP.
Enables AI applications to access and contextualize organizational knowledge sources including GitHub repositories and internal documentation through standardized MCP protocol integration. Features OAuth 2.1 authentication, vector-based semantic search, and optimized context chunking for enterprise development workflows.