Alternatives · Coding Agents
gptme alternatives
Looking for an alternative to gptme? Below are the coding agents in our index that do a similar job — open-source options are ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. gptme is open source, so the list below includes both other self-hostable projects and commercial products.
A provider-agnostic personal AI agent for the terminal, with shell, Python, web and vision tools.
Open source · 4.4k stars · Python · MIT · updated Sep 2026
Commercial alternatives to gptme
— Claude Code is a commercial product; gptme is open-source and self-hostable.
— Cursor is a commercial product; gptme is open-source and self-hostable.
— Devin is a commercial product; gptme is open-source and self-hostable.
— GitHub Copilot is a commercial product; gptme is open-source and self-hostable.
Open-source alternatives to gptme
— Best for developers who want to choose a model provider for an interactive repository coding workflow.
— gptme is written primarily in Python; gemini-cli in TypeScript.
— gptme is written primarily in Python; Zed in Rust.
— Licensing differs: gptme is MIT, Cline is Apache-2.0.
— gptme is written primarily in Python; openinterpreter in Rust.
— Licensing differs: gptme is MIT, Aider is Apache-2.0.
Frequently asked
- What is the best alternative to gptme?
- It depends on whether you'd rather self-host or buy a managed product. OpenCode is the most widely-adopted open-source alternative (210k GitHub stars); Claude Code is one of the commercial options. Compare the full list above on adoption, license, and pricing.
- Is there a free or open-source alternative to gptme?
- Yes. OpenCode, gemini-cli, and Zed are open-source coding agents you can self-host for free — you still pay for the infrastructure you run them on and any model or API usage. See the ranked open-source list above.
- How are these gptme alternatives ranked?
- Every product in the coding agents category is a candidate. Open-source alternatives are ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used, not abandoned. Commercial products are listed separately and alphabetically, because stars don't measure commercial adoption. Sponsored placement is always labeled and never affects the ranking.