BabyAGI
Experimental self-building autonomous agent framework
Overall score
About
BabyAGI is an MIT-licensed Python framework for building self-building autonomous agents. The current version (BabyAGI 2) centers on a functionz module that stores, manages and executes functions from a database with graph-based dependency tracking. Created by Yohei Nakajima (general partner at Untapped Capital); 22,000+ GitHub stars make it one of the most-referenced agent-framework reference implementations.
Best for: Developers experimenting with self-building autonomous agent architectures who want a Python-native framework with explicit graph-based function management.
Pricing
Self-hosted (MIT license)
- Monthly
- Free
- Annual /mo
- Free
- Billing
- flat
- Notes
- Full Python framework;functionz module;Dashboard;Graph-based function management;OpenAI integration · MIT licensed; you bring your own OpenAI API key and pay OpenAI directly for inference usage
| Tier | Monthly | Annual /mo | Billing | Notes |
|---|---|---|---|---|
| Self-hosted (MIT license) | Free | Free | flat | Full Python framework;functionz module;Dashboard;Graph-based function management;OpenAI integration · MIT licensed; you bring your own OpenAI API key and pay OpenAI directly for inference usage |
Key features
- MIT-licensed open-source Python framework
- functionz module for storing, managing and executing functions from a database
- Graph-based tracking of imports, dependencies and authentication secrets
- Dashboard for monitoring function execution and configurations
- Self-building agent loops that can extend their own capabilities
- Requires an OpenAI API key
Integrations
Trust & compliance
- Stage range
- MVP → Growth
- Founded
- 2023
- Status
- active
- SOC 2
- no
- GDPR
- no
- Data residency
- customer_choice
- External rating
- n/a
- Last verified
- May 2026
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