Noi vs deepchat

Desktop AI workspaces compared

Noi and deepchat are TypeScript desktop apps for bringing AI conversations and related work into one workspace. Noi focuses on organizing chats, prompts, and local tools, while deepchat adds model-provider connections, agent workflows, and integrations for tools and remote session control.

Noideepchat
LanguageTypeScriptTypeScript
License—Apache-2.0
Stars9.1k6.4k
Forks711756
Last analyzedOct 3, 2026Oct 18, 2026

Key differences

  • Noi emphasizes separate chat sessions, reusable prompts, and local storage for history and settings; deepchat emphasizes agent sessions with structured history that can be inspected and resumed.
  • Noi includes a built-in terminal and a CLI for control from tools such as Claude Code, Codex, and Gemini CLI; deepchat supports MCP tools, reusable Skills, and compatible ACP agents.
  • deepchat connects to cloud model providers and local Ollama models; Noi is described as organizing AI chat workflows without specifying model connections.
  • deepchat runs on Windows, macOS, and Linux; Noi's listed topics include macOS and Windows.
  • deepchat uses the Apache-2.0 license; Noi's supplied repository facts do not give a license.
  • Noi has 9.1k stars and 711 forks, while deepchat has 6.4k stars and 747 forks. Both are TypeScript projects and are not archived.

Choose Noi if you…

  • need separate AI chat sessions and reusable prompts in a desktop workspace.
  • want a built-in terminal alongside AI chat work.
  • use Claude Code, Codex, or Gemini CLI and want to control Noi through its CLI.
Read the Noi analysis →

Choose deepchat if you…

  • want to connect cloud providers and local Ollama models in one desktop app.
  • need agent sessions with inspectable, resumable history, MCP tools, Skills, or ACP agents.
  • want to configure remote session control through messaging channels such as Telegram, Discord, or Feishu/Lark.
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.