Last updated 08-21-2026
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Handit.ai
Handit.ai watches production AI agent 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 open source MIT project targets teams shipping LangChain, LangGraph, or custom Python and JavaScript agents who want monitoring tied to an actual repair loop.
PagerDuty alerts tell you something broke; Handit.ai tries to ship the fix. Its CLI runs npx @handit/cli setup to wire SDK tracing, API keys, and a GitHub app in under five minutes, then streams traces to a dashboard while it generates prompt, config, and guardrail patches validated against production failures.
ML engineers, backend developers, and AI platform teams use Handit.ai for agent reliability monitoring, hallucination detection, automated prompt fixes, and GitHub-native deployment workflows. Python and JavaScript SDKs plus an HTTP API cover LangChain, LangGraph, CrewAI, and LlamaIndex stacks while the core repo stays auditable on GitHub.
Monitors every agent request and flags hallucinations, schema breaks, and PII leaks in real time
CLI setup with npx @handit/cli setup wires SDK tracing, API keys, and GitHub in under five minutes
Generates 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
MIT licensed open source core on GitHub with 189+ stars and active issue tracking
Detects timeouts, validation errors, incorrect responses, and performance regressions continuously
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 registration has expired and shows a Namecheap parking page
No public pricing page was reachable; plan limits must be confirmed in the dashboard
Hosted dashboard and docs subdomains were not reliably fetchable during this enrichment run
Is Handit.ai free to use?
Handit.ai offers a free start through dashboard.handit.ai, and the core project is open source under the MIT license on GitHub. Handit.ai paid or usage-based tiers are not listed on the expired handit.ai marketing domain, 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 Handit.ai flow connects your account, installs the Python or JavaScript SDK, sets your API key, and links GitHub for automated pull requests.
What languages does Handit.ai support?
Handit.ai ships stable Python and JavaScript/TypeScript SDKs on PyPI and npm. Go, Java, C#, Ruby, and PHP teams can integrate Handit.ai through the HTTP API, including LangChain, LangGraph, LlamaIndex, and CrewAI workflows.
What failures does Handit.ai detect?
Handit.ai detects hallucinations, incorrect responses, schema and validation errors, PII leaks, and performance issues like timeouts. Handit.ai 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 Handit.ai 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 Handit.ai code, contribute, and self-host parts of the stack while using the hosted dashboard for monitoring.