thetahealth/mirobody
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemirobody is mirobody is an open-source project written in Python: Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.. It provides a free, self-hosted open-source alternative to Miro.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), thetahealth/mirobody has accumulated 1,386 GitHub stars and 244 forks. It is written in Python, licensed under Apache-2.0, and ranks #6,124 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | thetahealth/mirobody ↗ |
|---|---|
| Primary Category | ai agents |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.4K stars · ⑂ 244 forks · #6,124 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 3 open issues |
| Replaces SaaS | Open Source Miro Alternative ($8–$16/member/month) → |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, mirobody is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (11 days ago). Supported by 1,386 stars and 244 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+35
STARS · LAST 30 DAYS
1
PER DAY
#861
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +35 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +5 | +12 |
mirobody gained 35 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 1 year old and has averaged roughly 1.4K stars a year. It ranks #861 among Python repositories and #6,124 across all languages on GitHubRepo.
Trending Record
15
DAYS ON TRENDING
#2579
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mirobody has maintained a continuous presence across global trending indexes, peaking at #2579. Below is the 30-day activity profile:
💡 Overview
mirobody is an open-source project written in Python: Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, apple-health, digital-health. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install mirobody⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mirobody coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mirobody.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mirobody using your package manager: `pip install mirobody`
Initialize your project workspace or configuration file for mirobody.
Import mirobody into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mirobody --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
thetahealth/mirobody is currently ranked #6,124 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,119 | binarylogic/settingslogic | Ruby | ★ 1.4K | Compare ↗ |
| #6,120 | Stremio/stremio-addon-sdk | JavaScript | ★ 1.4K | Compare ↗ |
| #6,120 | davideberly/GeometricTools | C++ | ★ 1.4K | Compare ↗ |
| #6,122 | IoTSharp/IoTSharp | C# | ★ 1.4K | Compare ↗ |
| #6,122 | JoshuaKGoldberg/create-typescript-app | TypeScript | ★ 1.4K | Compare ↗ |
| #6,124 | thetahealth/mirobody This Project | Python | ★ 1.4K | |
| #6,124 | openbabel/openbabel | C++ | ★ 1.4K | Compare ↗ |
| #6,124 | Amm1rr/WebAI-to-API | Python | ★ 1.4K | Compare ↗ |
| #6,124 | annulusgames/Alchemy | C# | ★ 1.4K | Compare ↗ |
| #6,124 | vicanso/pingap | Rust | ★ 1.4K | Compare ↗ |
| #6,129 | apenwarr/git-subtree | Shell | ★ 1.4K | Compare ↗ |
Frequently Asked Questions
What does mirobody do? +
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
Is mirobody actively maintained in 2026? +
Yes, mirobody is actively maintained. The latest code push was recorded on Oct 21, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,386 stars and 3 open issues.
What language is mirobody written in? +
The primary language is Python. Topics include: ai-agents, apple-health, digital-health, genetic-data, genomics.
How many stars does mirobody have? +
mirobody has 1,386 stars and 244 forks on GitHub.
How does mirobody rank among GitHub repositories? +
With 1,386 stars, thetahealth/mirobody is ranked #6,124 globally across all repositories tracked on GitHubRepo and #861 among Python projects.
What license is mirobody distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
