Open source alternatives to autoresearch
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps
modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About autoresearch
autoresearch
Autonomous iterative experimentation loop for any programming task
autoresearch is an agent skill from the github/awesome-copilot collection for running an autonomous experimentation loop on any programming task that has a measurable outcome. The skill is inspired by Karpathy's autoresearch and generalizes it from machine learning training to any task. The user first defines the goal, the metric that measures it, and the scope constraints that limit what may change. The agent then iterates on its own: it modifies code, runs an experiment, measures the result, and keeps the change if it improved the metric or discards it if it did not, repeating until the user interrupts. The skill sets out agent behavior rules that keep the loop disciplined, such as changing only what the scope allows and recording each experiment so the history of what was tried is clear. It is useful for tuning performance, improving a model's score on a test, or reducing the size of a build, wherever the result can be measured automatically. The loop can run for a long time, so the metric must be trustworthy, and the scope should keep the agent away from code that must not change. Because the agent is changing code without a person reviewing each step, the kept changes should be reviewed before they are merged. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 3.4K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/autoresearch