ResolveLab
ResolveLab is a test environment that grades whether AI agents actually changed the system correctly, for researchers and developers training or evaluating tool-using agents.
What it is good for
- Checking whether an AI agent really completed a task in a system
- Catching agent mistakes like wrong-record edits and repeated writes
- Generating verified training examples for tool-using agents
- Comparing models on fault-injected API tasks
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- Ollama, OpenAI-compatible servers, Claude, Hugging Face Transformers
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 106
GitHub numbers as of Nov 2, 2026. Updated weekly.
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is ResolveLab free?
- Yes. It is free and open source (MIT license).
- Do I need to know how to code to use ResolveLab?
- Yes. You need to write code to use it.
- What does ResolveLab work with?
- According to its own documentation, it works with Ollama, OpenAI-compatible servers, Claude, and Hugging Face Transformers.
- What is ResolveLab good for?
- Checking whether an AI agent really completed a task in a system, catching agent mistakes like wrong-record edits and repeated writes, generating verified training examples for tool-using agents, and comparing models on fault-injected API tasks.
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