Orkas vs deepchat

Local-first desktop AI agent projects compared

Orkas and deepchat are desktop apps for working with AI models and agents in a local-first workspace. Orkas centers on a Commander that plans and delegates tasks to specialist agents, while deepchat focuses on model chat, resumable agent sessions, tools, Skills, and remote session control.

Orkasdeepchat
LanguageJavaScriptTypeScript
LicenseMITApache-2.0
Stars2.1k6.4k
Forks88756
Last analyzedOct 4, 2026Oct 18, 2026

Key differences

  • Orkas uses a Commander to coordinate specialist agents on parallel or sequential tasks; deepchat runs agent sessions users can inspect and resume.
  • Orkas includes nine specialist agents and offers more through a marketplace; deepchat supports reusable Skills and compatible ACP agents.
  • Orkas supports multiple model providers, OpenAI-compatible local endpoints, and supported external CLI agents; deepchat connects to cloud providers and local Ollama models.
  • Orkas is written in JavaScript and is MIT licensed; deepchat is written in TypeScript and is Apache-2.0 licensed.
  • Orkas documents desktop builds for macOS and Windows, with Linux use from source; deepchat runs on Windows, macOS, and Linux.
  • Orkas emphasizes local document retrieval and keeping conversations, keys, and files on-device; deepchat offers remote session control through configured messaging integrations. Hosted model calls in either app involve the selected provider.

Choose Orkas if you…

  • want a Commander to delegate connected tasks across specialist agents.
  • need local document retrieval and storage for conversations, keys, and files.
  • want to run supported external CLI agents alongside model providers or local endpoints.
Read the Orkas analysis →

Choose deepchat if you…

  • want to inspect and resume structured agent sessions.
  • need MCP tools, reusable Skills, or compatible ACP agents in a desktop workspace.
  • want to control active sessions through configured messaging channels or use local Ollama models.
Read the deepchat analysis →

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