Last updated 06-26-2026
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Handit.ai
Handit.ai is an open source reliability layer for production AI agents. It watches live traffic around the clock, spots failures like hallucinations, schema breaks, and PII leaks, then drafts fixes, tests them on real failure cases, and opens GitHub pull requests you can review before merge.
The project is built for teams who ship agents in JavaScript, TypeScript, or Python and want monitoring tied to an actual repair workflow. Setup starts with the Handit CLI, which installs the SDK, connects your repo, and streams traces to a dashboard so you can see quality scores and agent performance without wiring everything by hand.
Instead of paging engineers at 2 a.m. to guess why an agent regressed, Handit ties detection, root-cause analysis, validation, and shipping into one loop. It supports LangChain, LangGraph, and other stacks through the SDK or HTTP API, and the core repo is MIT licensed so you can inspect what runs in production.
Monitors every agent request and flags hallucinations, schema breaks, and PII leaks in real time
Runs
npx @handit/cli setupto wire SDK tracing, API keys, and GitHub in under five minutesGenerates prompt, config, and guardrail fixes tested against real production failures
Opens GitHub pull requests with A/B test results so you merge proven changes
Python and JavaScript SDKs plus HTTP API for LangChain, LangGraph, CrewAI, and custom stacks
Open source MIT codebase you can audit before anything ships to production.
Combines monitoring, failure analysis, fix generation, and GitHub PRs in one workflow.
CLI setup targets under five minutes with SDK install and repo linking baked in.
Supports Python, JavaScript, TypeScript, and HTTP API integrations for major agent frameworks.
Tests fixes against real production failures and includes A/B validation data in PRs.
The handit.ai marketing domain currently resolves to an expired parking page, so the public site is unavailable.
No public pricing page was reachable during research; plan limits must be confirmed in the dashboard.
Hosted docs and dashboard subdomains were not fetchable from this environment during the run.
Is Handit.ai free to use?
Handit.ai offers a free way to get started through dashboard.handit.ai, and the core project is open source under the MIT license on GitHub. Paid or usage-based tiers are not documented on the expired handit.ai marketing site, so check the dashboard for current limits.
How do you install Handit.ai?
Handit.ai installs via the CLI with `npx @handit/cli setup` in your agent project. The flow connects your Handit account, installs the Python or JavaScript SDK, sets your API key, and links GitHub for automated pull requests.
What programming languages does Handit.ai support?
Handit.ai ships stable Python and JavaScript/TypeScript SDKs (`handit-ai` on PyPI and `@handit.ai/handit-ai` on npm). Go, Java, C#, Ruby, and PHP teams can integrate through the HTTP API, including LangChain, LangGraph, LlamaIndex, and CrewAI workflows.
What kinds of AI failures does Handit.ai detect?
Handit.ai detects hallucinations, incorrect responses, schema and validation errors, PII leaks, and performance issues like timeouts. It monitors production traffic continuously and uses those failures as input for generated fixes.
Does Handit.ai integrate with GitHub?
Yes. Handit.ai installs a GitHub app during CLI setup and opens pull requests when it has a tested fix. You review and merge the PR, or use guardrails for controlled auto-deploy when your team enables that workflow.
Is Handit.ai open source?
Yes. Handit.ai is open source under the MIT license in the Handit-AI/handit.ai repository on GitHub. You can audit the code, contribute, and self-host parts of the stack while using the hosted dashboard for monitoring.