gptme — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for gptme. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 2, 2026 • Sentiment updated: Mar 17, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The GitHub project 'gptme/gptme' seems to be a community-driven effort focused on developing an LLM (Large Language Model) agent with a CLI interface. The project's open-source nature and use of popular technologies like OpenAI and llamacpp suggest a strong focus on collaboration and innovation.

Why gptme Stands Out

gptme stands out from alternatives with its focus on local, free, and open-source development, allowing users to create custom autonomous agents without relying on cloud services. Its plugin system and extensibility features make it highly customizable, and its ability to interact with the terminal and run shell commands provides a high degree of flexibility. Additionally, gptme's use of popular technologies like OpenAI and llamacpp ensures that it is well-integrated with existing AI ecosystems.

Built With

Build an autonomous coding assistant that writes code and edits files — gptme's local tools and plugin system enable this by allowing custom extensions and integrations, Build a web-browsing AI agent that can navigate and extract information from websites — gptme's terminal interface and vision capabilities make this possible, Build a research agent that can run shell commands and use the terminal to gather data — gptme's ability to interact with the terminal and run commands enables this, Build a personal AI assistant that can perform tasks and provide guidance — gptme's context generation and lesson system make this possible, Build an integrated development environment (IDE) with AI-powered code completion and suggestions — gptme's plugin system and integration with coding tools enable this

Getting Started

  1. Install gptme using pip: pip install gptme
  2. Configure gptme by running gptme config
  3. Initialize a new agent using gptme init
  4. Start the agent using gptme start
  5. Try running a shell command using gptme's terminal interface to verify it works

About

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

Official site: https://gptme.org/docs/

Category & Tags

Category: social

Tags: agent, agents, ai-agents, ai-assistant, anthropic, chatbot, chatgpt, cli, code-generation, llamacpp, llm, llm-agent, llm-apps, openai, openrouter, rag

Market Context

The project appears to be part of the growing trend of open-source LLM development, with potential applications in AI-assistant and chatbot technologies.