Sekha is a context broker that provides persistent memory for AI assistants, solving the problem of context loss in chat threads. It targets developers and engineering teams in B2B settings, offering a self-governed memory system that agents consult but do not own. Unlike platform-bound memory solutions, it is delivered as an open-source, self-hosted system with REST endpoints and MCP tools, ensuring user ownership and control.
Key features
- Library cards with semantic tagging
- SQLite storage you own and query
- Native folder/label system
- 4-phase assembly pipeline
- Citation metadata injection
- REST endpoints and MCP tools
- Importance scoring and recency decay
- Semantic search across conversations
- Pinned conversations and preferred labels
- Token budget packing
- No social media activity within the last 30 days
GTM channels
- Community
- API
- Docs
ICP
- Software developers
- Engineering teams
- Startups