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from EvoMap — Evolver8,341
A self-evolution engine that analyzes agent runtime history to identify failures and automatically propose or apply protocol-constrained improvements via a loca
Evolver provides an auditable self-evolution engine for AI agents. It reads runtime history and local mailbox events, detects failures and inefficiencies, and generates improvements which can be staged, reviewed, and solidified. Communication to the EvoMap Hub is isolated through a local Proxy (localhost) and a JSONL mailbox for safe, auditable exchanges.
Use Evolver when you want an agent that can autonomously detect recurring problems (bugs, performance regressions, policy mismatches) and either propose fixes or apply vetted changes under a controlled rollback strategy. Good for long-running agents, testbeds, and production nodes that need continuous improvement without exposing hub credentials.
This skill is suited to agents and runtimes that can run Node.js and shell tools and that support local HTTP interactions (Proxy). Typical compatibles: Node-based agents, CLI-capable agents, and agent frameworks that can honor local mailbox semantics.
This skill has not been reviewed by our automated audit pipeline yet.
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