ctx
ctx is a context-aware recommendation engine that dynamically selects the best skills, agents, and MCPs for your current coding task using a massive knowledge graph.
What is ctx?
ctx vs Similar AI Tools
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How to use ctx?
- 1Install with pip install claude-ctx
- 2Run ctx-init to set up hooks, graph, and model configuration
- 3Use ctx-scan-repo to scan your repository and get recommendations
- 4Install recommended skills with ctx-skill-add, agents with ctx-agent-add, etc.
- 5Optionally use ctx-monitor for a local dashboard
ctx Key Features
- 102,928-node LLM-wiki knowledge graph
- 91,464 skills, 467 agents, 10,790 MCPs, 207 harnesses
- Context budget optimization
- Skill rot detection
- Pre-built knowledge graph for fast recommendations
- Local dashboard with ctx-monitor
- Support for custom models via harness setup
ctx Use Cases
- Improving AI coding assistance efficiency
- Reducing token waste by loading only relevant skills
- Discovering new skills, agents, and MCPs relevant to current work
- Keeping installed skills up-to-date and removing stale ones
ctx Pricing & Free Credits
ctx currently operates on a Free model.
This tool is completely free to use
ctx Pros & Cons
Pros
- Massive curated knowledge graph of over 100K nodes
- Context-aware recommendations tailored to current task
- Integrates with Claude Code and custom models via harnesses
- Open source with active development
Cons
- Requires Python 3.11+
- Windows has some limitations with tar extraction
- May have a learning curve for initial setup
What is ctx best for?
- Developers using Claude Code
- AI coding tool users wanting smarter context
- Developers optimizing LLM context usage
ctx FAQ
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