Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.
⚡ Executive Summary & Quick Facts
Authoritative Sourceresearch-toolkit is research-toolkit is an open-source project written in Python: Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), rrrrrredy/research-toolkit has accumulated 312 GitHub stars and 32 forks. It is written in Python, licensed under MIT, and ranks #13,732 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
| Repository | rrrrrredy/research-toolkit ↗ |
|---|---|
| Primary Category | agent plugins |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 312 stars · ⑂ 32 forks · #13,732 globally |
| Maintenance | ● Active (Last commit: Nov 2, 2026) · 0 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: 93/100 · Grade A+Yes, research-toolkit is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (0 days ago). Supported by 312 stars and 32 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,770
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
research-toolkit gained 10 stars in the last 30 days, about 1 a day, and now has 312. It is about 1 year old and has averaged roughly 312 stars a year. It ranks #1,770 among Python repositories and #13,732 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#14621
BEST RANK
Nov 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
research-toolkit has maintained a continuous presence across global trending indexes, peaking at #14621. Below is the 30-day activity profile:
💡 Overview
research-toolkit is an open-source project written in Python: Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-plugins, agent-skill, ai-research. 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 research-toolkit⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
research-toolkit 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 research-toolkit.
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 research-toolkit using your package manager: `pip install research-toolkit`
Initialize your project workspace or configuration file for research-toolkit.
Import research-toolkit into your codebase or invoke it directly from your terminal.
Execute your test suite or run `research-toolkit --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
rrrrrredy/research-toolkit is currently ranked #13,732 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,710 | adamgell/cmtraceopen | Rust | ★ 313 | Compare ↗ |
| #13,710 | fabric-runtime/pi-fabric | TypeScript | ★ 313 | Compare ↗ |
| #13,710 | Conquest-of-AzerothCore/azerothcore-wotlk-coa | C++ | ★ 313 | Compare ↗ |
| #13,710 | jasonwong1991/WonderBox | Swift | ★ 313 | Compare ↗ |
| #13,710 | ryderclanky/BotW-Native | C++ | ★ 313 | Compare ↗ |
| #13,732 | rrrrrredy/research-toolkit This Project | Python | ★ 312 | |
| #13,732 | mikereedell/sunrisesunsetlib-java | Java | ★ 312 | Compare ↗ |
| #13,732 | djspiewak/gll-combinators | Scala | ★ 312 | Compare ↗ |
| #13,732 | cactus/go-camo | Go | ★ 312 | Compare ↗ |
| #13,732 | reactiveui/Fusillade | C# | ★ 312 | Compare ↗ |
| #13,732 | nextstrain/auspice | JavaScript | ★ 312 | Compare ↗ |
Frequently Asked Questions
What does research-toolkit do? +
Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.
Is research-toolkit actively maintained in 2026? +
Yes, research-toolkit is actively maintained. The latest code push was recorded on Nov 2, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 312 stars and 0 open issues.
What language is research-toolkit written in? +
The primary language is Python. Topics include: agent-plugins, agent-skill, ai-research, deep-research, industry-analysis.
How many stars does research-toolkit have? +
research-toolkit has 312 stars and 32 forks on GitHub.
How does research-toolkit rank among GitHub repositories? +
With 312 stars, rrrrrredy/research-toolkit is ranked #13,732 globally across all repositories tracked on GitHubRepo and #1,770 among Python projects.
What license is research-toolkit distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
