README file generator, powered by AI.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/eli64s/readme-ai?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/eli64s/readme-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/eli64s/readme-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/eli64s/readme-ai?utm_source=readme_badge)Momentum
+75
STARS · LAST 30 DAYS
3
PER DAY
#383
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +75 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +1 | +6 | +15 |
readme-ai gained 75 stars in the last 30 days, about 3 a day, and now has 3K. It is about 4 years old and has averaged roughly 750 stars a year. It ranks #383 among Python repositories and #2,688 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#4414
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
readme-ai has maintained a continuous presence across global trending indexes, peaking at #4414. Below is the 30-day activity profile:
💡 Overview
readme-ai is an open-source project written in Python: README file generator, powered by AI.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, 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 readme-ai⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
readme-ai 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 readme-ai.
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 readme-ai using your package manager: `pip install readme-ai`
Initialize your project workspace or configuration file for readme-ai.
Import readme-ai into your codebase or invoke it directly from your terminal.
Execute your test suite or run `readme-ai --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
eli64s/readme-ai is currently ranked #2,688 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,682 | mirage/mirage | OCaml | ★ 3K | Compare ↗ |
| #2,682 | Xpra-org/xpra | Python | ★ 3K | Compare ↗ |
| #2,685 | nodatime/nodatime | C# | ★ 3K | Compare ↗ |
| #2,686 | x4nth055/pythoncode-tutorials | Jupyter Notebook | ★ 3K | Compare ↗ |
| #2,686 | mickasmt/next-saas-stripe-starter | TypeScript | ★ 3K | Compare ↗ |
| #2,688 | eli64s/readme-ai This Project | Python | ★ 3K | |
| #2,689 | researchxxl/syncthing-android | Java | ★ 3K | Compare ↗ |
| #2,689 | rust-lang/hashbrown | Rust | ★ 3K | Compare ↗ |
| #2,691 | phcode-dev/phoenix | JavaScript | ★ 3K | Compare ↗ |
| #2,691 | pmorissette/bt | Python | ★ 3K | Compare ↗ |
| #2,693 | jherrodthomas/automotive-skills-suite | Python | ★ 3K | Compare ↗ |
Frequently Asked Questions
What does readme-ai do? +
README file generator, powered by AI.
What language is readme-ai written in? +
The primary language is Python. Topics include: agents, ai, ai-agents, ai-documentation, anthropic.
Is readme-ai actively maintained? +
Yes, the last recorded push was on Oct 7, 2026 with 58 open issues being tracked.
How many stars does readme-ai have? +
readme-ai has 2,999 stars and 298 forks on GitHub.
How does readme-ai rank among GitHub repositories? +
With 2,999 stars, eli64s/readme-ai is ranked #2,688 globally across all repositories tracked on GitHubRepo and #383 among Python projects.
What license is readme-ai distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
