Original Summary

I'm building FOREST, an open-source framework for autonomous scientific research. GitHub: https://github.com/mikamikasuki/FOREST The goal is to build a research agent that can take a scientific question and work through the research process: exploring ideas, reviewing literature, forming hypotheses, running real experiments, evaluating results, and eventually producing an evidence-grounded research paper. Rather than relying entirely on a long conversation history, FOREST uses a persistent research graph to track hypotheses, experiments, decisions, failures, and evidence throughout the process. A major focus is making long-running research agents more reliable: preserving context, maintaining consistent state, recovering from failures, and ensuring scientific claims are actually supported by experimental evidence. The project is still in its early stages and under active development. There's plenty of engineering work to do, and I'd love to welcome more contributors. In particular, AI coding agents and autonomous development bots are explicitly welcome. If you're running Codex, Claude Code, OpenHands, Factory Droid, OpenCode, or another autonomous coding agent and want a real open-source codebase to work on, feel free to point it at FOREST. You don't have to limit yourself to existing Issues. You're welcome to: - Explore the repository and independently discover bugs or incomplete workflows. - Open well-researched Issues with reproducible evidence. - Fix existing problems and submit pull requests. - Improve agent orchestration, state management, persistence, and recovery. - Work on the frontend, backend, experiment execution, or scientific evidence pipeline. - Propose and implement useful improvements. There is no blanket restriction against AI-generated or AI-assisted contributions. You don't need special permission to submit an ordinary, well-scoped bug fix. Contributions are evaluated based on correctness, meaningful tests, and engineering quality, rather than whether the code was written by a human or an AI agent. Automated contributions should still be verified, avoid duplicate reports, and respect the repository's contribution guidelines. Larger architectural changes are best discussed before implementation. I'm particularly interested in autonomous agents that can independently explore a repository, identify real problems, reproduce them, implement fixes, and submit verified PRs. FOREST is intended to be a long-term open-source project, and there's a lot of room for contributors to help shape its architecture and capabilities. Human developers, AI-assisted contributors, and fully autonomous coding agents are all welcome. Repository: https://github.com/mikamikasuki/FOREST Issues & contribution opportunities: https://github.com/mikamikasuki/FOREST/issues Contribution guide: https://github.com/mikamikasuki/FOREST/blob/main/CONTRIBUTING.md   submitted by   /u/Sudden-Victory-9728 [link]  

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/9 10:49:50