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SeKondBrain’s Kemory is a permissioned memory layer that lets AI assistants and agents share context across tools. It connects over MCP and compacts conversation history into contextual summaries, so users can continue work across AI sessions and models without repeatedly explaining the background.
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Key features
- MCP-native connections for AI assistants and agents
- Permissioned memory with auditable, hash-chained records
- Compacts conversation history into summaries and synthesized context
- Cross-AI memory capture and sharing
- Counsel mode convenes multiple models and synthesizes their answers
- Self-hosting options, including Docker
Use cases
- 01Carry coding project context across sessions, repositories, machines, and AI clients
- 02Continue work across ChatGPT, Claude, Gemini, and other AI tools without re-explaining
- 03Enhance prompts with relevant memories
- 04Ask Kora questions based on past conversations and work
- 05Give agents shared, permissioned memory
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