Skill UI

AgentFolio provides a curated directory of autonomous AI agents, letting you discover, compare, and research frameworks, integrations, and UX patterns before deciding whether to build or buy.

Orchestrates autonomous AI research projects with a two-loop structure, bootstrapping experiments, synthesizing findings, and delivering presentations. Runs continuously using Claude Code/OpenClaw heartbeats and routes to domain skills for execution, ideal when starting or managing multi-hypothesis research efforts.

Autonomous review loop that harnesses any OpenAI-compatible LLM via MCP or curl to iteratively review research, implement fixes, re-review, and log each round until a positive verdict or MAX_ROUNDS limit.

Autonomous multi-round review loop using the MiniMax API to iteratively evaluate research work, apply fixes, and re-review until a positive verdict or max rounds, with MCP/curl fallbacks, persistent state, and AUTO_REVIEW.md logging.