head to head · open source
local-deep-research vs unifi-mcp
local-deep-research has 9,499 GitHub stars, 903 forks, 889 open issues and last shipped yesterday. unifi-mcp has 1,003 stars, 133 forks, 22 open issues and last shipped 2 days ago. local-deep-research leads on adoption by 847% (9,499 vs 1,003 stars). local-deep-research is written in Python under MIT; unifi-mcp is written in Python under MIT. local-deep-research has attracted 10% as many forks as stars, unifi-mcp 13%. local-deep-research was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (home-automation), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| local-deep-research | unifi-mcp | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 1.0K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 903 | ⑂ 133 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick local-deep-research if
- You weight community size — 9.5K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick unifi-mcp if
- You want the unifi-mcp feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and unifi-mcp fits your workflow better
About local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
About unifi-mcp
UniFi MCP Leverage agents and agentic AI workflows to manage your UniFi deployment. Servers Cloud Relay Cloud Relay pairs the Cloudflare hosted Worker gateway with the Relay sidecar on your LAN. The Worker provides the authenticated edge MCP endpoint, Durable Object broker, multi location routing, token boundary, and deployment/management CLI. The Relay sidecar is a local MCP HTTP client and forwarder: it discovers configured local MCP servers over HTTP and maintains an outbound WebSocket to the Worker. Remote requests follow MCP client → Worker gateway → outbound WebSocket → Relay sidecar → local MCP servers…
read the full unifi-mcp overview →
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Frequently asked questions
Is local-deep-research or unifi-mcp more popular?
local-deep-research has 9,499 GitHub stars and unifi-mcp has 1,003. local-deep-research has the larger community by that measure.
Are local-deep-research and unifi-mcp free?
Both are open source. local-deep-research is licensed under MIT and unifi-mcp under MIT. Neither carries a licence fee.
What is the difference between local-deep-research and unifi-mcp?
local-deep-research is written in Python and unifi-mcp in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, local-deep-research or unifi-mcp?
Choose local-deep-research if you want the larger community (9,499 stars) or its MIT licence terms. Choose unifi-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.