Alternatives · MCP Servers
DeepChat alternatives
Looking for an alternative to DeepChat? Below are the mcp servers in our index that do a similar job — open-source options are ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. DeepChat is open source, so the list below includes both other self-hostable projects and commercial products.
An open-source, local-first AI agent desktop client with MCP, skills, ACP and remote control from messaging apps.
Open source · 6.3k stars · TypeScript · Apache-2.0 · updated Sep 2026
Open-source alternatives to DeepChat
— Pricing model differs — DeepChat is open source, 5ire is free.
— Licensing differs: DeepChat is Apache-2.0, MCP SuperAssistant is MIT.
— DeepChat is written primarily in TypeScript; ChatMCP in Dart.
— Licensing differs: DeepChat is Apache-2.0, Witsy is AGPL-3.0.
— Licensing differs: DeepChat is Apache-2.0, Dive is MIT.
— DeepChat is written primarily in TypeScript; mcphub.nvim in Lua.
— Licensing differs: DeepChat is Apache-2.0, MCP Reference Servers is MIT AND Apache-2.0.
— Licensing differs: DeepChat is Apache-2.0, context7 is MIT.
— Best for giving a coding agent live Chrome control for debugging and performance traces.
— Best for developers whose MCP-compatible agent needs persistent browser state and structured page inspection.
Frequently asked
- What is the best alternative to DeepChat?
- 5ire is the most widely-adopted open-source alternative in our index (5.4k GitHub stars). The full ranked list is above — the best fit depends on your language, license, and budget.
- Is there a free or open-source alternative to DeepChat?
- Yes. 5ire, MCP SuperAssistant, and ChatMCP are open-source mcp servers you can self-host for free — you still pay for the infrastructure you run them on and any model or API usage. See the ranked open-source list above.
- How are these DeepChat alternatives ranked?
- Every product in the mcp servers category is a candidate. Open-source alternatives are ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used, not abandoned. Commercial products are listed separately and alphabetically, because stars don't measure commercial adoption. Sponsored placement is always labeled and never affects the ranking.