Jacob-liu1996/miniagent
A lightweight intelligent agent framework implementing the complete ReAct pattern
MiniAgent helps developers create intelligent systems that can understand and respond to complex instructions by breaking them down into thoughts and actions. It takes a natural language instruction and, using an OpenAI model, outputs a sequence of operations like file manipulation, Python code execution, or system commands. This is designed for developers who want to build AI agents with a clear, extendable, and lightweight foundation.
179 stars. No commits in the last 6 months.
Use this if you are a developer looking for a straightforward and modular framework to build AI agents that can perform multi-step tasks using a 'think-and-act' approach.
Not ideal if you are an end-user without programming experience, as this is a developer tool requiring Python knowledge to implement and customize.
Stars
179
Forks
18
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/Jacob-liu1996/miniagent"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
openai/openai-agents-python
A lightweight, powerful framework for multi-agent workflows
openagents-org/openagents
OpenAgents - AI Agent Networks for Open Collaboration
vamplabAI/sgr-agent-core
Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
BrainBlend-AI/atomic-agents
Building AI agents, atomically
camel-ai/camel
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents....