Anil-matcha/awesome-muse-connectors
A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes.
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-muse-connectors is awesome-muse-connectors is an open-source project written in Python: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Anil-matcha/awesome-muse-connectors has accumulated 1,313 GitHub stars and 304 forks. It is written in Python, licensed under MIT, and ranks #6,436 globally. It is actively maintained with the latest commit recorded on Oct 5, 2026.”
| Repository | Anil-matcha/awesome-muse-connectors ↗ |
|---|---|
| Primary Category | agent skills |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1.3K stars · ⑂ 304 forks · #6,436 globally |
| Maintenance | ● Active (Last commit: Oct 5, 2026) · 5 open issues |
| 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: 92/100 · Grade AYes, awesome-muse-connectors is actively maintained. Continuous telemetry recorded the last code commit on Oct 5, 2026 (27 days ago). Supported by 1,313 stars and 304 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (27 days ago) and healthy issue cadence.
Star History
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+33
STARS · LAST 30 DAYS
1
PER DAY
#902
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +33 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +6 | +15 |
awesome-muse-connectors gained 33 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 3 years old and has averaged roughly 438 stars a year. It ranks #902 among Python repositories and #6,436 across all languages on GitHubRepo.
Trending Record
26
DAYS ON TRENDING
#4891
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-muse-connectors has maintained a continuous presence across global trending indexes, peaking at #4891. Below is the 30-day activity profile:
💡 Overview
awesome-muse-connectors is an open-source project written in Python: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agentic-ai, ai-agents. 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 awesome-muse-connectors⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-muse-connectors 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 awesome-muse-connectors.
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 awesome-muse-connectors using your package manager: `pip install awesome-muse-connectors`
Initialize your project workspace or configuration file for awesome-muse-connectors.
Import awesome-muse-connectors into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-muse-connectors --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
Anil-matcha/awesome-muse-connectors is currently ranked #6,436 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,428 | amatsuda/jb | Ruby | ★ 1.3K | Compare ↗ |
| #6,428 | caronc/apprise-api | Python | ★ 1.3K | Compare ↗ |
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| #6,434 | mozilla/policy-templates | Python | ★ 1.3K | Compare ↗ |
| #6,434 | apache/incubator-xtable | Java | ★ 1.3K | Compare ↗ |
| #6,436 | Anil-matcha/awesome-muse-connectors This Project | Python | ★ 1.3K | |
| #6,436 | procore-oss/blueprinter | Ruby | ★ 1.3K | Compare ↗ |
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| #6,436 | wilbowes/EchoMuse | Python | ★ 1.3K | Compare ↗ |
Frequently Asked Questions
What does awesome-muse-connectors do? +
A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes.
Is awesome-muse-connectors actively maintained in 2026? +
Yes, awesome-muse-connectors is actively maintained. The latest code push was recorded on Oct 5, 2026 (27 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,313 stars and 5 open issues.
What language is awesome-muse-connectors written in? +
The primary language is Python. Topics include: agent-skills, agentic-ai, ai-agents, ai-tools, api.
How many stars does awesome-muse-connectors have? +
awesome-muse-connectors has 1,313 stars and 304 forks on GitHub.
How does awesome-muse-connectors rank among GitHub repositories? +
With 1,313 stars, Anil-matcha/awesome-muse-connectors is ranked #6,436 globally across all repositories tracked on GitHubRepo and #902 among Python projects.
What license is awesome-muse-connectors distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
