goose vs OpenHuman

Rust-based AI agent projects compared

goose and OpenHuman are Rust-based projects for running AI agents through multiple interfaces. goose emphasizes agent actions across coding and other tasks, while OpenHuman centers on configurable, persistent agents and embeddable Rust use.

gooseOpenHuman
LanguageRustRust
LicenseApache-2.0GPL-3.0
Stars54.9k42.2k
Forks6.4k4.2k
Last analyzedOct 3, 2026Oct 21, 2026

Key differences

  • goose offers a desktop app, CLI, and API; OpenHuman offers a desktop app, browser UI, terminal client, and Rust embedding library.
  • goose connects to more than 15 model providers and more than 70 MCP extensions; OpenHuman combines configurable models with memory, search, workflows, integrations, MCP servers, and skills.
  • OpenHuman describes memory options, visual workflows with triggers, local-only Privacy Mode, and replayable run journals; these capabilities are not listed for goose.
  • goose is licensed under Apache-2.0, while OpenHuman is licensed under GPL-3.0, a copyleft license.
  • OpenHuman is labeled Early Beta and warns that rough edges are expected; goose's listed considerations instead highlight provider and extension setup and open issues.

Choose goose if you…

  • need an agent for coding as well as research, writing, automation, or data analysis.
  • want a desktop app, CLI, or API with a choice of model providers and MCP extensions.
  • prefer the Apache-2.0 license.
Read the goose analysis →

Choose OpenHuman if you…

  • want configurable agents with persistent memory, visual workflows, and multiple trigger options.
  • plan to embed agents in a Rust application or use a browser UI or terminal client.
  • need local-only Privacy Mode or replayable run journals with per-call cost accounting.
Read the OpenHuman analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.