EvoMap/AutoResearch
- Source
- GitHub
- First trending
- Category
- Agents
- GitHub stars
- 3,110
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.
What it does
An agent workflow for AI and machine learning research, from an idea through experiment planning, execution, result analysis and independent review. Plans, code, logs, metrics and review reports are saved to disk so researchers can take over.
How it helps ATF
Worth comparing with LabChin, which links a research question, experiment plan, research notes and final report. Its review by several separate models could be a reference for how Harness checks a result with evidence.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
More in this category
- jmiao24/Paper2Agent
A multi-agent system that turns a research paper, along with its code repository if available, into an interactive AI agent. It coordinates parallel specialist agents to produce MCP servers and skills. - google/artemis
ARTEMIS turns natural-language instructions into automation on real or emulated Android devices. Through MCP, coding assistants such as Claude Code can drive test devices and collect logs and screenshots. - felinics/Memoh
An open-source multi-agent platform giving each agent its own cloud workspace with filesystem, browser, network and long-term memory. Agents stay online, can be reached through chat apps such as Telegram, and Claude Code or Codex can run inside the workspaces. - arcboxlabs/arcbox
ArcBox is an open-source container and VM runtime for macOS written in Rust. It runs Docker-compatible containers, disposable microVM sandboxes for AI agents, and full Linux or macOS VMs on one runtime. - alphaXiv/OpenResearch
A local-first workspace that turns coding agents such as Claude Code or Codex into research agents. Each research direction gets its own agent session and git worktree, and experiment runs, logs and results stay tied together.
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.