
handit.ai
π§ Open-source optimization engine for LLM agents. Track logs, evaluate behavior, generate insights, and improve agent performance through manual versioning and analysis. Built to make AI actually work.
Stars: 177

Handit.ai is an autonomous engineer tool designed to fix AI failures 24/7. It catches failures, writes fixes, tests them, and ships PRs automatically. It monitors AI applications, detects issues, generates fixes, tests them against real data, and ships them as pull requestsβall automatically. Users can write JavaScript, TypeScript, Python, and more, and the tool automates what used to require manual debugging and firefighting.
README:
π₯ The Autonomous Engineer That Fixes Your AI 24/7 π₯
Handit catches failures, writes fixes, tests them, and ships PRs, automatically. Like having an on-call engineer dedicated to your AI, except it works 24/7.
π Quick Start β’ π Core Features β’ π Docs β’ π Schedule a Call
handit.ai solves AI reliability.
Modern AI applications are fragile β they hallucinate, break schemas, leak PII, and fail silently. When your AI fails at 2am, customers complain, and you're debugging blind. Did the model change? Is a tool broken? Is there a logic error? Without visibility, you're playing whack-a-mole with quality issues.
handit.ai is your autonomous engineer that monitors your AI 24/7, detects issues, generates fixes, tests them against real data, and ships them as pull requestsβall automatically.
Write JavaScript, TypeScript, Python, and more. What used to take manual debugging and firefighting now happens automatically with handit.ai.
Get your autonomous engineer up and running in under 5 minutes:
npm install -g @handit.ai/cli
Navigate to your AI project directory and run:
handit-cli setup
The CLI will guide you through connecting your autonomous engineer:
- π§ Connect your handit.ai account
- π± Install the handit SDK in your project
- π Configure your API key for monitoring
- π§ Connect evaluation models (OpenAI, Together AI, etc.)
- π Connect your GitHub repository for automated PRs
β Check your dashboard: Go to dashboard.handit.ai - you should see:
- Tracing data flowing in real-time
- Quality scores for evaluated interactions
- Agent Performance showing baseline metrics
β Confirm GitHub integration: Check your repository - you should see:
- handit app installed in repository settings
- Ready for PRs - your autonomous engineer can now create pull requests
That's it! Your autonomous engineer is now monitoring your AI, evaluating quality, and ready to create pull requests with fixes whenever issues are detected.
Need custom control? Add monitoring decorators manually to your agent functions:
# Python
pip install handit-ai
# JavaScript/TypeScript
npm install @handit.ai/handit-ai
Python:
from handit_ai import configure, tracing
import os
configure(HANDIT_API_KEY=os.getenv("HANDIT_API_KEY"))
@tracing(agent="customer-service")
async def process_customer_request(message):
# Your existing code here - unchanged
intent = await classify_intent(message)
response = await generate_response(intent)
return response
JavaScript:
import { configure, startTracing, endTracing } from '@handit.ai/handit-ai';
configure({ HANDIT_API_KEY: process.env.HANDIT_API_KEY });
const processCustomerRequest = async (message) => {
startTracing({ agent: "customer-service" });
try {
// Your existing code here - unchanged
const intent = await classifyIntent(message);
const response = await generateResponse(intent);
return response;
} finally {
endTracing();
}
};
That's it! Check dashboard.handit.ai to see your traces.
On-Call 24/7: Monitors every request, catches failures in real-time before customers complain.
- Hallucinations and incorrect responses
- Schema breaks and validation errors
- PII leaks and security issues
- Performance degradation and timeouts
Insights: Analyzes root causes, generates fixes and tests solutions on actual failure cases in production.
- Prompt improvements and optimizations
- Configuration changes and guardrails
- Code fixes for logic errors
- Model parameter adjustments
Opens PRs with proven fixes: You review and merge, or auto-deploy with guardrails.
- Tested fixes with real performance data
- Detailed explanations of changes
- A/B testing results and metrics
- Rollback capabilities
Self-improving AI agent that automatically converts messy, unstructured documents into clean, structured data and CSV tables. Perfect for processing invoices, purchase orders, contracts, medical reports, and any other document types. But here's the kicker - it actually gets better at its job over time.
Key Features: β¨
- Schema Inference π: AI analyzes documents and creates optimal JSON structure
- Data Extraction π: Maps document fields to schema with confidence scoring
- CSV Generation π: Automatically creates organized tables for data visualization
- Multimodal Support πΌοΈ: Handles images, PDFs, and text files
- Session Management ποΈ: Isolated processing for different document batches
- Self-improvement π§ : Handit observes every agent interaction, and if a failure is detected, it automatically fixes it
Technologies: π οΈ Python, LangGraph, LangChain, OpenAI, FastAPI, Pandas, Handit.ai
Write your AI agents in your preferred language:
Language | Status | SDK Package |
---|---|---|
Python | β Stable | handit-ai>=0.0.62 |
JavaScript | β Stable | @handit.ai/handit-ai |
TypeScript | β Stable | @handit.ai/handit-ai |
Go | β Available | HTTP API integration |
Any Stack/Framework | β Available | HTTP API integration (n8n, Zapier, etc.) |
Java, C#, Ruby, PHP | β Available | REST API integration |
LangChain & LangGraph | β Available | Python/JS SDK |
LlamaIndex, AutoGen | β Available | Python/JS SDK + HTTP API |
CrewAI, Swarm | β Available | Python SDK + HTTP API |
See how teams eliminated their AI firefighting with handit.ai:
ASPE.ai was running a high-stakes agent that was silently failing every time. Within 48 hours of connecting handit, the system identified the issue, tested fixes, and deployed the new prompts.
- +62.3% Accuracy improvement
- +36% Response relevance
- +97.8% Success rate
XBuild's AI was suffering from prompt drift that tanked performance across key models. handit stepped in, ran automatic A/B tests, and deployed the top-performing versions.
- +34.6% Accuracy improvement
- +19.1% Success rate
- +6600 Automatic evaluations
Handit isn't just another toolβit's an autonomous team member handling your AI reliability 24/7.
Never Miss a Failure: Catches hallucinations, schema breaks, PII leaks, and performance issues as they happen. No more finding out from angry customers.
Writes Production-Ready Code: Generates prompt improvements, config changes, and guardrails. Tests each fix against real failures before shipping.
Data-Driven Decisions: Every fix is tested on live data. See exact accuracy improvements, latency impacts, and success rates before deploying.
Gets Smarter Over Time: Remembers every failure and successful fix. Instantly applies proven solutions to recurring issues. Your engineer's growing expertise.
From failure to fix in productionβfully automated, fully auditable, fully open-source.
On-Call 24/7
Monitors every request, catches failures in real-time before customers complain.
Insights
Analyzes root causes, generates fixes and tests solutions on actual failure cases in production.
GitHub-Native
Opens PRs with proven fixes. You review and merge, or auto-deploy with guardrails.
See how teams eliminated their AI firefighting with Handit.
ASPE.ai was running a high-stakes agent that was silently failing every time. Within 48 hours of connecting Handit, the system identified the issue, tested fixes, and deployed the new prompts.
- +62.3% Accuracy
- +36% Response relevance
- +97.8% Success rate
XBuild's AI was suffering from prompt drift that tanked performance across key models. Handit stepped in, ran automatic A/B tests, and deployed the top-performing versions.
- +34.6% Accuracy
- +19.1% Success rate
- +6600 Automatic evaluations
Advanced users only. If you need custom control over your autonomous engineer setup, you can manually add monitoring code instead of using the CLI.
When to use manual setup:
- Custom deployment environments
- Complex agent architectures
- Need granular control over monitoring
Quick manual setup:
- Manual Setup Guide - Add decorators yourself
- Advanced Setup - Node-by-node monitoring
β CLI command not found?
-
Solution: Install Node.js first:
node --version
(should show v16+) - If still failing:
npm uninstall -g @handit.ai/cli && npm install -g @handit.ai/cli
β "Authentication failed" during setup?
- Solution: Check your Handit.ai account credentials at dashboard.handit.ai
- If still failing: Try logging out and back in to your Handit account
β No traces appearing in dashboard?
-
Solution: Run
handit-cli setup
again to regenerate configuration - Check: Your generated code is actually being executed (not just imported)
- Verify: API key was set correctly:
echo $HANDIT_API_KEY
β Evaluations not running?
-
Solution: Re-run
handit-cli evaluators-setup
to verify model connections - Check: Model tokens have sufficient credits in your provider dashboard
- Verify: Your AI is receiving traffic (evaluations only run on active agents)
β GitHub app installation failed?
- Solution: Ensure you have admin access to the repository
- Try:
handit-cli github
again to reinstall the app - Check: Repository permissions in GitHub Settings β Applications
Need Help?
- Community: Discord for real-time help
- Support: Contact Us for technical issues
- Advanced: Manual Setup for custom configurations
π ChessArena.ai - Full-Featured Production App
A complete chess platform benchmarking LLM performance with real-time evaluation.
Live Website β | Source Code β
Built from scratch to production deployment, featuring:
π Authentication & user management
π€ Multi-agent LLM evaluation (OpenAI, Claude, Gemini, Grok)
π Python engine integration (Stockfish chess evaluation)
π Real-time streaming with live move updates and scoring
π¨ Modern React UI with interactive chess boards
π Event-driven workflows connecting TypeScript APIs to Python processors
π Live leaderboards with move-by-move quality scoring
π Production deployment on Handit Cloud
Example | Description |
---|---|
AI Research Agent | Web research with iterative analysis |
Streaming Chatbot | Real-time AI responses |
Gmail Automation | Smart email processing |
GitHub PR Manager | Automated PR workflows |
Finance Agent | Real-time market analysis |
Features demonstrated: Multi-language workflows β’ Real-time streaming β’ AI integration β’ Production deployment
Write your AI agents in your preferred language:
Language | Status | SDK Package |
---|---|---|
Python | β Stable | handit-ai>=0.0.62 |
JavaScript | β Stable | @handit.ai/handit-ai |
TypeScript | β Stable | @handit.ai/handit-ai |
Go | β Available | HTTP API integration |
Any Stack/Framework | β Available | HTTP API integration (n8n, Zapier, etc.) |
Java, C#, Ruby, PHP | β Available | REST API integration |
LangChain & LangGraph | β Available | Python/JS SDK |
LlamaIndex, AutoGen | β Available | Python/JS SDK + HTTP API |
CrewAI, Swarm | β Available | Python SDK + HTTP API |
Open source because you need to trust what pushes to prod.
Stop Being Your AI's On-Call Engineer
Let Handit handle the 2am failures while you focus on building features. Open source. GitHub-native. Starts working in minutes!
- π Questions: Use our Discord community
- π Bug Reports: GitHub Issues
- π Documentation: Official Docs
- π Schedule a Call: Book a Demo
We're building Handit in the open, and we'd love for you to be a part of the journey.
Week | Focus | Status |
---|---|---|
1 | Backend foundation + infrastructure | βοΈ Done |
2 | Prompt versioning | βοΈ Done |
3 | Auto-evaluation + insight generation | βοΈ Done |
4 | Deployment setup + UI + public release | βοΈ Done |
We welcome contributions! Whether it's:
- π Bug fixes and improvements
- β¨ New features
- π Documentation and examples
- π Language support additions
- π¨ Dashboard UI enhancements
Thanks to everyone helping bring Handit to life:
Want to appear here? Star the repo, follow along, and make your first PR π
π Ready to auto-improve your AI?
π Get Started Now β’ π Read the Docs β’ π¬ Join Discord β’ π Schedule a Call
We have a public roadmap for handit.ai. You can view it here.
Feel free to add comments to the issues, or create a new issue if you have a feature request.
Feature | Status | Link | Description |
---|---|---|---|
Advanced Prompt Optimization | Planned | #485 | Multi-model prompt optimization |
Custom Evaluation Metrics | Planned | #495 | User-defined evaluation criteria |
Real-time Dashboard | Planned | #497 | Live monitoring interface |
Auto-deployment | Planned | #476 | Automated deployment with guardrails |
Multi-agent Support | Planned | #477 | Complex agent orchestration |
Custom Integrations | Planned | #480 | Third-party tool integrations |
- π Documentation - Complete guides and API reference
- π¬ Discord - Community support and discussions
- π GitHub Issues - Bug reports and feature requests
- πΊοΈ Roadmap - Upcoming features and progress
- π₯ Demo - See handit in action
We welcome contributions! Check our Contributing Guide to get started.
# Clone the repository
git clone https://github.com/handit-ai/autonom.git
cd autonom
# Install dependencies
npm install
# Start development environment
npm run dev
This project is licensed under the MIT License - see the LICENSE file for details.
- Community: Discord for real-time help
- Support: Contact Us for technical issues
- Documentation: docs.handit.ai for comprehensive guides
Stop Being Your AI's On-Call Engineer
Let handit.ai handle the 2am failures while you focus on building features.
Get Started Free β’ View on GitHub β’ Join Discord
Open source. GitHub-native. Starts working in minutes.
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