head to head · open source

local-deep-research vs MDMA

local-deep-research has 9,503 GitHub stars, 903 forks, 889 open issues and last shipped today. MDMA has 73 stars, 2 forks, 0 open issues and last shipped 13 days ago. local-deep-research leads on adoption by 12,918% (9,503 vs 73 stars). local-deep-research is written in Python under MIT; MDMA is written in TypeScript under MIT. local-deep-research has attracted 10% as many forks as stars, MDMA 3%. local-deep-research was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

local-deep-research ★ 9.5K MDMA ★ 73 category Productivity & Utilities

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Side by side

local-deep-research MDMA
GitHub stars ★ 9.5K ★ 73
License MIT MIT
Written in Python TypeScript
Last push 2026-11-05 2026-10-23
Forks ⑂ 903 ⑂ 2
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

full local-deep-research profile →

pick MDMA if

  • You want the MDMA feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and MDMA fits your workflow better

full MDMA profile →

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 MDMA

MDMA Markdown Document with Mounted Applications Interactive documents from Markdown. Built for next gen apps 🌐 Website · 🚀 Live Demo · 📖 Docs · 💬 Discord · 🤗 Model Why MDMA? AI conversations today are plain text — the user reads a response and manually acts on it. MDMA changes that. When an LLM knows the MDMA spec, it can respond with interactive components (forms, tables, approval gates) instead of just text. The conversation becomes actionable: the user fills out a form, approves a step, or reviews structured data — all inline, with a predictable schema that your app already knows how to render and…

read the full MDMA overview →

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Frequently asked questions

Is local-deep-research or MDMA more popular?

local-deep-research has 9,503 GitHub stars and MDMA has 73. local-deep-research has the larger community by that measure.

Are local-deep-research and MDMA free?

Both are open source. local-deep-research is licensed under MIT and MDMA under MIT. Neither carries a licence fee.

What is the difference between local-deep-research and MDMA?

local-deep-research is written in Python and MDMA in TypeScript. 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 MDMA?

Choose local-deep-research if you want the larger community (9,503 stars) or its MIT licence terms. Choose MDMA if its feature set, stack or MIT licence fits better. Both are self-hostable.