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Luciole-Studio
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Luciole-Studio/Misaka-Agent

A multi-agent research system for the humanities and social sciences.

Python ◇ agent-framework Apache-2.0
★135STARS
⑂8FORKS
!3ISSUES
🏆#12,928GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,615

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

Misaka-Agent gained 10 stars in the last 30 days, about 1 a day, and now has 135. It is about 1 year old and has averaged roughly 135 stars a year. It ranks #1,615 among Python repositories and #12,928 across all languages on GitHubRepo.

Trending Record

Misaka-Agent has maintained a continuous presence across global trending indexes, peaking at #11619. Below is the 30-day activity profile:

💡 Overview

Misaka-Agent is an open-source project written in Python: A multi-agent research system for the humanities and social sciences.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-framework, ai-agents, computational-social-science. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install Misaka-Agent

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Misaka-Agent 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 Misaka-Agent.

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

1

Install Misaka-Agent using your package manager: `pip install Misaka-Agent`

2

Initialize your project workspace or configuration file for Misaka-Agent.

3

Import Misaka-Agent into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Misaka-Agent --help` to verify successful setup.

👍 Strengths

Active community backing with 135 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

Luciole-Studio/Misaka-Agent is currently ranked #12,928 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,893 armanmaurya/InternetRadio Kotlin ★ 136 Compare ↗
#12,893 keltokhy/jgrep Python ★ 136 Compare ↗
#12,893 egma-ai/jev-code-reviewer JavaScript ★ 136 Compare ↗
#12,893 Jiarui-0410/multimodal-product-discovery Python ★ 136 Compare ↗
#12,893 rdborg/Mediarium Go ★ 136 Compare ↗
#12,928 Luciole-Studio/Misaka-Agent This Project Python ★ 135
#12,928 abhay/calais Ruby ★ 135 Compare ↗
#12,928 simonw/optfunc Python ★ 135 Compare ↗
#12,928 adammck/pygsm Python ★ 135 Compare ↗
#12,928 alexdej/puzpy Python ★ 135 Compare ↗
#12,928 rspec/rspec-dev Ruby ★ 135 Compare ↗

Frequently Asked Questions

What does Misaka-Agent do? +

A multi-agent research system for the humanities and social sciences.

What language is Misaka-Agent written in? +

The primary language is Python. Topics include: agent-framework, ai-agents, computational-social-science, digital-humanities, history.

Is Misaka-Agent actively maintained? +

Yes, the last recorded push was on Oct 7, 2026 with 3 open issues being tracked.

How many stars does Misaka-Agent have? +

Misaka-Agent has 135 stars and 8 forks on GitHub.

How does Misaka-Agent rank among GitHub repositories? +

With 135 stars, Luciole-Studio/Misaka-Agent is ranked #12,928 globally across all repositories tracked on GitHubRepo and #1,615 among Python projects.

What license is Misaka-Agent distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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