aiming-lab/AutoResearchClaw
- Source
- GitHub
- First trending
- Category
- Agents
- GitHub stars
- 14,441
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
AutoResearchClaw is a staged pipeline that takes a research idea from chat to a written paper, either autonomously or with a human co-pilot. Its experiment stages route work to domain-specific agents, such as physics, biology and statistics executors.
How it helps ATF
Worth comparing directly with LabChin, which links a research question, sources, experiment plan and final report. Its human co-pilot mode and routing of experiments to domain executors could be a reference for how Harness hands work to executors.
License
MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.
More in this category
- agentscope-ai/agentscope
AgentScope is a framework for building and running LLM agents that relies on the model's own reasoning and tool use instead of rigid prompts. Recent versions add realtime voice agents, the A2A protocol and multi-agent pipelines. - THU-MAIC/OpenMAIC
OpenMAIC generates interactive multi-agent classroom courses from a prompt. Its agent workbench plans, builds and revises course pages from uploaded materials, with server-backed sessions that can be cancelled, resumed and steered. - Yeachan-Heo/oh-my-claudecode
A multi-agent orchestration layer for Claude Code with a teams-first design. It provides workflows and a CLI so users can run coordinated agents without first learning Claude Code in depth. - langchain-ai/deepagents
An open source agent harness on LangGraph that works with any tool-calling model. It includes sub-agents with isolated context, a pluggable filesystem, context summarization, persistent memory, skills, MCP tools and human approval of tool calls. - Donchitos/Claude-Code-Game-Studios
A set of Claude Code subagents and slash-command skills for game development, organized like a studio with directors, department leads and specialists. Each agent has defined responsibilities, escalation paths and quality gates, while the user makes the decisions.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.