Tracekit
Tracekit is a tool that records and checks every action an AI agent takes so you can see what it did and whether it was allowed, for developers and teams who need a record they can trust.
What it is good for
- Proving what an AI agent did during a run
- Blocking risky agent actions before they run
- Checking that an agent's activity log was not edited
- Reviewing held agent actions before approving them
At a glance
- Who it is for
- Setup
- Guided command-line setup
Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.
- Cost
- Free and open source
- Type
- Other
- Tasks
- Works with
- Claude Code, OpenAI Agents SDK, LangChain, LangGraph, MCP, Codex CLI
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 360
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 Tracekit free?
- Yes. It is free and open source (MIT license).
- Do I need to know how to code to use Tracekit?
- You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
- What does Tracekit work with?
- According to its own documentation, it works with Claude Code, OpenAI Agents SDK, LangChain, LangGraph, MCP, and Codex CLI.
- What is Tracekit good for?
- Proving what an AI agent did during a run, blocking risky agent actions before they run, checking that an agent's activity log was not edited, and reviewing held agent actions before approving them.
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