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ThinkInAI

unknown

Scores

1 product on the map — 1 open.

DeepChat

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public(ThinkInAIXYZ/deepchat)
core features withheld
no — no enterprise or ee path in the repository root and no paid tier described in the README

Apache-2.0, an OSI license with no appended terms, covers DeepChat's full public source. The repository and README describe no enterprise or paid tier, only a sponsorship section.

  • https://raw.githubusercontent.com/ThinkInAIXYZ/deepchat/dev/LICENSE recorded 2026-10-07

    LICENSE body, read in full: the stock Apache License 2.0 text, byte-identical to the canonical template through END OF TERMS AND CONDITIONS and followed only by the standard appendix. No appended condition.

  • https://raw.githubusercontent.com/ThinkInAIXYZ/deepchat/dev/README.md recorded 2026-10-07

    README, read for the distribution and gating question: "DeepChat is an open-source, local-first AI agent desktop client", built from this repository with "pnpm install", and its "Sponsor" section thanks third-party sponsors rather than describing a paid tier. No enterprise, pricing or licence-gated build appears.

Adoption

2 low confidence
2.0

DeepChat ships only as a desktop application build, not through a package registry this map can measure, leaving GitHub stars as the only adoption signal. A star marks attention rather than use, so this reading is a weak proxy no matter how large the count.

Capability

4 medium confidence
4.0

Adds an agent surface beyond a plain desktop chat client: MCP tools, the Agent Client Protocol, a skills system and run tracing, the same extensible-platform behavior that places AnythingLLM and Open WebUI here, above the plain chat-client shape Jan represents. It stays a step below LibreChat, which carries multi-user authentication and a wider native provider matrix.

  • https://raw.githubusercontent.com/ThinkInAIXYZ/deepchat/dev/README.md recorded 2026-10-07

    README describes "an open-source, local-first AI agent desktop client" with "support for MCP, Skills, ACP, and remote control integrations for messaging apps", sections for "Tape & Trace", "Skills Support" and "ACP Integration (Agent Client Protocol)", and compatibility with any provider "in OpenAI/Gemini/Anthropic API format" plus local Ollama models.