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This fork keeps the original Google Research implementation and paper attribution, but extends the runtime to work with local CLI agents and mixed backends. In practice, it can use codex as the main reasoning / code-generation brain, route text or multimodal reasoning through Claude-compatible or Ollama-compatible backends, and use OpenRouter-route
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Latest capture 2026-07-19 04:03
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Scanned 2026-07-19 04:03
requirements.txt
python ecosystem,
14 dependencies
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Idea2Paper Offical Demo
data-to-paper: Backward-traceable AI-driven scientific research
P2PCLAW Research White Paper Series II — 16x16 chess-grid autonomous research agent with evolutionary memory and self-improving capabilities.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
