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Autonomous Research
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AgentFolio Discovery Guide
agentfolio
sickn33/antigravity-awesome-skills
478
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.
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Autonomous Research Orchestrator
autoresearch
Orchestra-Research/AI-Research-SKILLs
154
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.
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Autonomous Review Loop LLM
auto-review-loop-llm
wanshuiyin/Auto-claude-code-research-in-sleep
190
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.
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MiniMax Review Loop
auto-review-loop-minimax
wanshuiyin/Auto-claude-code-research-in-sleep
354
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.
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