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About Sekha

Learn about the Sekha project, its origins, and future direction.

The Journey

The story of why and how Sekha was created. A deep dive into the problems that led to building a universal AI memory system.

27.5KB of narrative covering: - The broken state of AI memory - Design decisions and architecture choices - Lessons learned from production use - Vision for the future

Roadmap

Sekha's development roadmap from v0.1 to v2.0 and beyond.

Current Status: v0.1.0 - Production Ready

Upcoming: - v0.2: Advanced features (summaries, scoring, VS Code) - v0.3: Scale (Postgres, K8s, audit logs) - v1.0: Enterprise (federation, teams, SOC2) - v2.0: Ecosystem (plugins, mobile, cloud)

License

Sekha uses dual licensing:

  • AGPL-3.0: Free for personal, educational, and non-commercial use
  • Commercial: Enterprise licensing available

Learn about the licensing model and how it applies to your use case.

Support & Contact

Get help and connect with the community:

  • GitHub Issues: Bug reports and feature requests
  • Discord: Real-time community chat
  • Email: [email protected]

Project Stats

  • First Commit: December 11, 2025
  • Current Version: v0.1.0
  • Lines of Code: ~20,000
  • Test Coverage: 80%+ (controller), 82% (bridge)
  • Contributors: Open for contributions!
  • License: AGPL-3.0 / Commercial

Core Values

🔒 Sovereignty

Your data is yours. Self-hosted, local-first, no phone-home.

🌐 Openness

Open source, open standards, community-driven development.

🎯 Quality

Production-ready code, comprehensive tests, real-world validation.

🚀 Innovation

Pushing the boundaries of AI memory systems and context management.

Acknowledgments

Built with world-class open-source tools:

  • Rust - Systems programming
  • Axum - Web framework
  • SeaORM - Database ORM
  • ChromaDB - Vector database
  • Ollama - Local LLM runtime
  • MkDocs Material - Documentation

Special thanks to the Rust, AI, and open-source communities.

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