Proposal: Distributing Skills via MCP to Close the Agent Learning Loop

A developer proposed an agent learning loop architecture that uses MCP as a distribution layer: client agents complete tasks in a central system of record, compress execution trajectories into mergeable skill update proposals, and product owners merge them — a decentralized alternative to centralized mono-agent approaches.

2026-10-23 ~ 2026-10-23 · 3 related posts

• Proposal: serve skills over MCP, compress agent traces into merged skill updates — curious_vii · 2026-10-23
• Discussion: Serving Skills Over MCP to Close the Agent Learning Loop — curious_vii · 2026-10-23
• Serving Skills Over MCP: A Decentralized Alternative to Hosted Mono-Agents — curious_vii · 2026-10-23