ИИ-агенты
babyagi
Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
★ 22,4 тыс. звёздMIT
Смотреть руководство →babyagi_archive — проект с открытым исходным кодом из категории «ИИ-агенты» от yoheinakajima (yoheinakajima/babyagi_archive на GitHub). У него 110 звёзд на GitHub и 27 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 30 сентября 2024.
A frozen snapshot of the original BabyAGI autonomous-agent experiment.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
BabyAGI as of September 2024.
The classic create-prioritize-execute cycle.
One of the first famous agent demos.
Simple enough to study in an afternoon.
Free to learn from.
Won't change - stable reference.
Download the source and move into the project folder.
git clone https://github.com/yoheinakajima/babyagi_archive.git
cd babyagi_archiveCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyNobody actively - it is a preserved snapshot of BabyAGI as of September 2024, kept for historical reference. For maintained code, look at the active frameworks in this collection.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
In principle, but it is a frozen 2024 snapshot - expect outdated dependencies and legacy API requirements. It is best used for study, not deployment.
No - it is an archived snapshot, not a maintained framework. Learn from it, then build on an actively maintained project from this collection.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
A fully local Manus-style autonomous agent: browses, codes and speaks — no APIs, no subscription
Autonomous AI trading agent spanning 1000+ markets, from Polymarket to Solana DEXs.
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
An open-source agent operating system in Rust - autonomous 'Hands' that do real work
Autonomous agent framework for Elixir: distributed, event-driven, dynamic.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если babyagi_archive вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к babyagi_archive — продолжайте изучать полку по обе стороны от него.
A voice-driven multi-agent assistant that orchestrates in realtime.
eBPF-powered information-flow enforcement for safer AI agents.
A benchmark for comparing AI agent memory systems head-to-head.
A personal AI assistant that puts security first.
An MCP-native AI coding agent and runtime in a single binary.
A framework for agent nexuses where intelligence emerges from interaction.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.