LeanCTX — Context Intelligence for AI systems.
Star History
Momentum
+96
STARS · LAST 30 DAYS
3
PER DAY
#135
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +96 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +2 | +7 | +18 |
lean-ctx gained 96 stars in the last 30 days, about 3 a day, and now has 3.8K. It is about 1 year old and has averaged roughly 3.8K stars a year. It ranks #135 among Rust repositories and #1,278 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#565
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
lean-ctx has maintained a continuous presence across global trending indexes, peaking at #565. Below is the 30-day activity profile:
💡 Overview
lean-ctx is an open-source project written in Rust: LeanCTX — Context Intelligence for AI systems.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-coding, 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 Rust 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
$ cargo install lean-ctx
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
lean-ctx coordinates its core functionality through a modular Rust 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 lean-ctx.
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 lean-ctx using your package manager: `cargo install lean-ctx`
Initialize your project workspace or configuration file for lean-ctx.
Import lean-ctx into your codebase or invoke it directly from your terminal.
Execute your test suite or run `lean-ctx --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
yvgude/lean-ctx is currently ranked #1,278 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does lean-ctx do? +
LeanCTX — Context Intelligence for AI systems.
What language is lean-ctx written in? +
The primary language is Rust. Topics include: agentic-coding, ai, ai-agents, ai-coding, claude-code.
Is lean-ctx actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 6 open issues being tracked.
How many stars does lean-ctx have? +
lean-ctx has 3,838 stars and 351 forks on GitHub.
How does lean-ctx rank among GitHub repositories? +
With 3,838 stars, yvgude/lean-ctx is ranked #1,278 globally across all repositories tracked on GitHubRepo and #135 among Rust projects.
What license is lean-ctx distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.