openclaw vs deepchat

Self-hosted assistant and desktop AI workspace compared

openclaw runs a self-hosted assistant through a Gateway that connects models, tools, messaging services, and companion devices. deepchat is a cross-platform desktop client for models and agents, with MCP tools, Skills, session history, and remote controls; the main difference is a Gateway-centered setup versus a desktop workspace.

openclawdeepchat
LanguageTypeScriptTypeScript
LicenseMITApache-2.0
Stars392k6.4k
Forks82.3k756
Last analyzedOct 10, 2026Oct 18, 2026

Key differences

  • openclaw connects a Gateway to messaging channels and companion devices, while deepchat centers on multi-window and multi-tab desktop conversations with remote controls through supported messaging channels.
  • openclaw describes state, memory, and credentials stored on the operator’s hardware; deepchat describes local session data and Tape history stored on the device.
  • openclaw supports hosted and local model providers; deepchat connects to named cloud providers and local Ollama models.
  • openclaw is licensed under MIT, while deepchat uses Apache-2.0.
  • openclaw documents a Node.js requirement of `>=24.16.0 <25 || >=26.1.0`; deepchat documents a Node.js version range and its latest release is marked beta.

Choose openclaw if you…

  • want a self-hosted assistant reachable through messaging apps you already use.
  • need a Gateway to coordinate sessions, tools, events, and channel connections.
  • want companion-device features such as voice or device-local actions on supported platforms.
Read the openclaw analysis →

Choose deepchat if you…

  • want a cross-platform desktop workspace for cloud and local models.
  • need MCP tools, reusable Skills, or ACP-compatible agents in a desktop workflow.
  • want to inspect and resume agent work using Tape history and trace views.
Read the deepchat 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.