EverMind-AI/Raven
The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Star History
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+123
STARS · LAST 30 DAYS
4
PER DAY
#235
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +28 | +123 | +360 |
| Per day | 4 | 4 | 4 |
| Forks gained | +1 | +3 | +10 |
Raven gained 123 stars in the last 30 days, about 4 a day, and now has 4.9K. It is about 1 year old and has averaged roughly 4.9K stars a year. It ranks #235 among Python repositories and #1,435 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#39
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Raven has maintained a continuous presence across global trending indexes, peaking at #39. Below is the 30-day activity profile:
💡 Overview
Raven is an open-source project written in Python: The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, anthropic. 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 Raven⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Raven 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 Raven.
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 Raven using your package manager: `pip install Raven`
Initialize your project workspace or configuration file for Raven.
Import Raven into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Raven --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
EverMind-AI/Raven is currently ranked #1,435 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,430 | apple/embedding-atlas | TypeScript | ★ 5K | Compare ↗ |
| #1,430 | open-telemetry/opentelemetry-collector-contrib | Go | ★ 5K | Compare ↗ |
| #1,432 | apache/iggy | Rust | ★ 5K | Compare ↗ |
| #1,433 | microsoft/FluidFramework | TypeScript | ★ 4.9K | Compare ↗ |
| #1,434 | Ocramius/ProxyManager | PHP | ★ 4.9K | Compare ↗ |
| #1,435 | EverMind-AI/Raven This Project | Python | ★ 4.9K | |
| #1,436 | awslabs/aidlc-workflows | TypeScript | ★ 4.9K | Compare ↗ |
| #1,437 | simplecov-ruby/simplecov | Ruby | ★ 4.9K | Compare ↗ |
| #1,438 | opal/opal | Ruby | ★ 4.9K | Compare ↗ |
| #1,439 | fallow-rs/fallow | Rust | ★ 4.9K | Compare ↗ |
| #1,440 | NVIDIA/Model-Optimizer | Python | ★ 4.9K | Compare ↗ |
Frequently Asked Questions
What does Raven do? +
The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
What language is Raven written in? +
The primary language is Python. Topics include: ai, ai-agents, anthropic, chatgpt, claude.
Is Raven actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 94 open issues being tracked.
How many stars does Raven have? +
Raven has 4,938 stars and 134 forks on GitHub.
How does Raven rank among GitHub repositories? +
With 4,938 stars, EverMind-AI/Raven is ranked #1,435 globally across all repositories tracked on GitHubRepo and #235 among Python projects.
What license is Raven distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
