capability-evolver-bakA self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Install via ClawdBot CLI:
clawdbot install samwlh/capability-evolver-bakGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Hardcoded API key or token pattern found in skill definition
ghp_xxxxxxxx...Potentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://evomap.aiGenerated May 7, 2026
An AI agent monitors its own error logs and runtime crashes, then autonomously applies patches or rolls back changes to restore service. This reduces downtime in production environments without human intervention.
An agent periodically analyzes its performance in customer-facing roles, identifies inefficient workflows, and updates its own code or knowledge base. Over time, the agent becomes more efficient and accurate without manual updates.
The evolver spawns variant agents with different strategies, evaluates them in production, and solidifies the best performing version. This enables data-driven self-optimization without engineering overhead.
An agent learns from attack patterns and system vulnerabilities by analyzing past incidents. It then evolves its detection rules or deploys patches to mitigate future threats autonomously.
Offer a platform that hosts AI agents which continuously evolve their own behavior to improve user outcomes. Customers pay a subscription fee based on the number of agents or evolution cycles.
Provide the evolver as a managed service for enterprise AI deployments. Clients integrate the evolver into their agent infrastructure, and the provider handles updates, rollbacks, and monitoring.
Create a marketplace where users can publish, share, or sell evolved genes, capsules, and strategies generated by the evolver. The platform takes a commission on each transaction.
💬 Integration Tip
Start with a single agent in a sandbox environment to test evolution cycles before deploying to production. Use environment variables to control evolution strategy and rollback behavior.
Scored Jun 29, 2026
Uses known external API (expected, informational)
api.github.comAudited Apr 17, 2026 · audit v1.0
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