WecoAI/awesome-autoresearch resource

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1038 stars · 77 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of AutoResearch use cases, where a coding agent iteratively optimizes a file against an evaluation metric in a keep/discard loop. Each entry links to the actual optimization trajectory and open-source implementation, covering LLM training, GPU kernels, template engines, and prompt engineering.

Use cases

• find examples of AI agents that automatically optimize code
• learn how the autoresearch optimization loop works
• see real optimization traces from LLM training experiments
• apply automated research loops to GPU kernel optimization
• find open-source implementations of self-improving AI workflows
• optimize prompts automatically with evaluation metrics
• discover community adaptations of Karpathy's autoresearch

When to choose

• you want curated, trace-backed examples of agentic code optimization
• you're exploring how to adapt the autoresearch loop to new domains
• you need reference implementations before building your own automated research agent

When to avoid

• you need a runnable tool or framework rather than a list of links
• you want guaranteed-maintained production software rather than community experiments
• you're not working with coding agents or GPU-based ML workflows

Facets

learning-resource · maturity active

agent-framework llm-training prompt-engineering benchmarking developer-tools artificial-intelligence machine-learning awesome-lists developer-tools tutorials python cli cross-platform awesome-list autoresearch curated-list optimization-traces coding-agents self-improving-ai automated-ml ai-agents gpu

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markdown · JSON · MCP: product_card(name="WecoAI/awesome-autoresearch")