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Free Auto GPT

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Basic Information

This repository provides an open source implementation of autonomous AI agents such as AutoGPT, BabyAGI and CAMEL that can run without paying for official APIs. It supplies custom LLM wrappers and LangChain integration so users can run, test and extend autonomous agents using free or reverse-engineered access to ChatGPT, HuggingChat, Bing and Bard via tokens or cookies. The project targets democratizing AI by enabling small teams and individuals to run agents locally or in Colab without specialized hardware. It includes instructions for obtaining tokens and cookies, a sample .env setup, a Colab notebook for one‚Äëclick runs, and a VS Code Dev Container configuration for local Docker development. Example agent scripts and a small toolset show how to combine internet search, Python execution and knowledge sources to create custom agents.

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App URL
https://github.com/IntelligenzaArtificiale/Free-Auto-GPT
Github Repository
https://github.com/IntelligenzaArtificiale/Free-Auto-GPT/blob/main/README.md

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App Details

Features
Provides FreeLLM LangChain wrappers for multiple chat providers including reverse‚Äëengineered ChatGPT, HuggingChat, Bing Chat and Google Bard. Includes ready examples and entry points such as AUTOGPT.py, BABYAGI.py, Camel.py and a OtherAgent folder with csvAgent, pythonAgent and customAgent templates. Supplies utility tools and integrations including a Python REPL tool, Wikipedia wrapper, DuckDuckGo search tool, file writer and QA web page tool. Offers Colab notebooks for immediate use, a VS Code Dev Container for Dockerized local development, .env configuration guidance for tokens and cookies, and a built‚Äëin call counter to respect request limits. Documentation lists TODOs and contribution guidance for extending free LLM wrappers and replacing paid services.
Use Cases
This project helps users experiment with autonomous agents without incurring API costs by using free or user‚Äëprovided tokens and cookies and by offering plug‚Äëand‚Äëplay LangChain LLM wrappers. It lowers the barrier to prototype agent behaviors such as web search, code execution and Wikipedia lookups, and it includes runnable examples and templates to build custom agents quickly. The Colab notebook and Dev Container make it accessible to non‚Äëspecialized environments, enabling developers, students and small teams to learn, customize and test autonomous workflows. The repository is presented for educational use, includes setup guidance, and highlights limitations and legal disclaimers so users can responsibly explore agent capabilities.

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