mini-agi

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mini-agi is an open-source Python framework for developing autonomous AI agents using OpenAI models. It enables agents to plan multi-step task sequences, manage tool usage like web searches or code execution, and store memory outputs. Developers can customize prompts, configure toolkits, and extend agent behaviors with minimal setup. By abstracting complex orchestration, mini-agi simplifies building AI agents capable of reasoning, self-correcting, and interacting with external APIs.
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May 10 2025
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mini-agi

mini-agi

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0
mini-agi
mini-agi is an open-source Python framework for developing autonomous AI agents using OpenAI models. It enables agents to plan multi-step task sequences, manage tool usage like web searches or code execution, and store memory outputs. Developers can customize prompts, configure toolkits, and extend agent behaviors with minimal setup. By abstracting complex orchestration, mini-agi simplifies building AI agents capable of reasoning, self-correcting, and interacting with external APIs.
Added on:
Social & Email:
Platform:
May 10 2025
--
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What is mini-agi?

mini-agi is designed to simplify the creation of autonomous AI agents by providing a minimal, modular framework. Built in Python, it leverages OpenAI’s language models to interpret high-level goals, decompose them into sub-tasks, and orchestrate tool calls such as HTTP requests, file operations, or custom actions. The framework includes memory storage to track agent state and results, a planner module for task decomposition with cost-based heuristics, and an executor module that sequentially invokes tools. With configuration files, users can inject custom tools, define prompt templates, and adjust planning depth. mini-agi’s lightweight architecture makes it ideal for prototyping AI agents that perform research queries, automate workflows, or generate code autonomously.

Who will use mini-agi?

  • AI developers
  • Machine learning researchers
  • Software engineers building AI assistants
  • DevOps engineers testing automation
  • Hobbyists exploring autonomous agents

How to use the mini-agi?

  • Step1: Clone the mini-agi GitHub repository and install dependencies with pip.
  • Step2: Set the OPENAI_API_KEY environment variable for API access.
  • Step3: Define custom tools in tools.py or update the tools configuration file.
  • Step4: Customize prompt templates and planning settings in config.yaml.
  • Step5: Set the agent’s goal in main.py and run python main.py.
  • Step6: Review agent outputs, logs, and adjust configurations for improvement.

Platform

  • mac
  • windows
  • linux

mini-agi's Core Features & Benefits

The Core Features

  • Autonomous task planning
  • Custom tool integration
  • Memory management
  • Prompt templating
  • Execution orchestration
  • Logging and tracing

The Benefits

  • Simplified agent development
  • Modular and extensible design
  • Lightweight footprint
  • Quick prototyping
  • Transparent orchestration
  • Easy customization

mini-agi's Main Use Cases & Applications

  • Research automation and information retrieval
  • Workflow automation for DevOps tasks
  • Code generation and testing
  • Data retrieval and analysis
  • Prototyping virtual assistants

FAQs of mini-agi

mini-agi Company Information

mini-agi Reviews

5/5
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mini-agi's Main Competitors and alternatives?

  • AutoGPT
  • LangChain Agents
  • AgentGPT
  • BabyAGI

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