PrismerCloud

Why we included this project

Anyone running long-lived coding or workflow agents has probably hit the wall PrismerCloud targets: agents that repeat the same errors, forget context between sessions, and never benefit from what another agent already learned. The project bundles shared memory, agent-to-agent messaging, and an evolution engine into one self-hosted runtime. That engine records which fix worked for a given error and pushes the recommendation across the whole agent fleet, so one agent's hard-won lesson saves the rest the same debugging work. It plugs into Claude Code, Cursor, Windsurf, and OpenCode through an MCP server and plugin hooks, which means you get the infrastructure without rewriting how your agents are invoked. The Thompson Sampling-based recommendation layer is most valuable when you run many agents, because each success raises the confidence of the same fix for everyone. With a single agent and no shared account, you'll only see part of the payoff, since the evolution network and community features shine when several agents and teammates actually use them together.