LoongFlow provides agent planning, execution, and summary loops with structured experiential memory.
yoheinakajima/babyagi
BabyAGI explores task planning as a method for developing autonomous agents.

About yoheinakajima/babyagi
BabyAGI is an experimental framework for a self-building autonomous agent. Its core, called functionz, stores, manages and executes functions from a database, tracking imports, dependent functions and secret keys in a graph structure with automatic loading and logging.
It includes a dashboard for managing functions, running updates and viewing logs, along with built-in function packs and support for loading custom packs. The repository states it is not meant for production use and is intended for experienced developers to experiment with ideas; the original March 2023 version is archived separately.
Key features
- Register Python functions with imports, dependencies and key requirements
- Store, manage and execute functions from a database
- Track imports, dependent functions and secrets in graph structure
- Load built-in or custom function packs from file paths
- Add and manage secret keys via code or dashboard
- Dashboard to manage functions, run updates and view logs
- Includes dashboard for managing functions, updates and logs
- Supports reusable function packs and dependency tracking
- Installable via pip with code examples for registration
- Not meant for production use
- Described as experimental and to be used with caution
- Original March 2023 version is archived in a separate repo
yoheinakajima/babyagi at a glance
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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yoheinakajima/babyagi FAQ
How do I open the BabyAGI dashboard?
How do I load additional functions?
How do I add secret keys?
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