Local-first cognitive control plane for AI agents. Progressive MCP and Skill tool routing, L1-L4 semantic automatic world-modeled persistent memory, LLM waterfall failover, and multi-agent orchestration.
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Finally an MCP setup that doesn't make me edit config files every time I add an agent, and the layered memory actually kept state across sessions in my testing.
Would love to hear what you think once you try it.
What AI tools do you use most?
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Finally got around to testing the semantic memory layers and the LLM failover actually kicked in mid-conversation without me noticing anything weird, which is exactly what you want. The local-first setup means my agent state survives restarts without me babysitting it.
Finally an MCP setup that doesn't make me edit config files every time I add an agent, and the layered memory actually kept state across sessions in my testing.
@erkanve9o Thanks so much! 🙏
Would love to hear what you think once you try it.
What AI tools do you use most?
Finally got around to testing the semantic memory layers and the LLM failover actually kicked in mid-conversation without me noticing anything weird, which is exactly what you want. The local-first setup means my agent state survives restarts without me babysitting it.
@pekkavfolufeb8 Thanks so much! 🙏
Would love to hear what you think once you try it.
What AI tools do you use most?