SkillAgentSearch skills...

Dirac

Open Source Coding Agent singularly focused efficiency. Reduces API costs by 50-80% vs other agent AND improves the code quality at the same time. Uses Hash Anchored edits, massively parallel operations, AST manipulation and many many other optimizations. https://dirac.run/

Install / Use

/learn @dirac-run/Dirac
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Dirac - Accurate & Highly Token Efficient Open Source AI Agent

It is a well studied phenomenon that any given model's reasoning ability degrades with the context length. If we can keep context tightly curated, we improve both accuracy and cost while making larger changes tractable in a single task.

Dirac is an open-source coding agent built with this in mind. It reduces API costs by 64.8% on average while producing better and faster work. Using hash-anchored parallel edits, AST manipulation, and a suite of advanced optimizations.

📊 Evals

Dirac is benchmarked against other leading open-source agents on complex, real-world refactoring tasks. Dirac consistently achieves 100% accuracy at a fraction of the cost. These evals are run on public github repos and should be reproducible by anyone.

| Task (Repo) | Files* | Cline | Kilo | Ohmypi | Opencode | Pimono | Roo | Dirac | | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | | Task1 (transformers) | 8 | 🟢 (diff) [$0.37] | 🔴 (diff) [N/A] | 🟡 (diff) [$0.24] | 🟢 (diff) [$0.20] | 🟢 (diff) [$0.34] | 🟢 (diff) [$0.49] | 🟢 (diff) [$0.13] | | Task2 (vscode) | 21 | 🟢 (diff) [$0.67] | 🟡 (diff) [$0.78] | 🟢 (diff) [$0.63] | 🟢 (diff) [$0.40] | 🟢 (diff) [$0.48] | 🟡 (diff) [$0.58] | 🟢 (diff) [$0.23] | | Task3 (vscode) | 12 | 🟡 (diff) [$0.42] | 🟢 (diff) [$0.70] | 🟢 (diff) [$0.64] | 🟢 (diff) [$0.32] | 🟢 (diff) [$0.25] | 🟡 (diff) [$0.45] | 🟢 (diff) [$0.16] | | Task4 (django) | 14 | 🟢 (diff) [$0.36] | 🟢 (diff) [$0.42] | 🟡 (diff) [$0.32] | 🟢 (diff) [$0.24] | 🟡 (diff) [$0.24] | 🟢 (diff) [$0.17] | 🟢 (diff) [$0.08] | | Task5 (vscode) | 3 | 🔴 (diff) [N/A] | 🟢 (diff) [$0.71] | 🟢 (diff) [$0.43] | 🟢 (diff) [$0.53] | 🟢 (diff) [$0.50] | 🟢 (diff) [$0.36] | 🟢 (diff) [$0.17] | | Task6 (transformers) | 25 | 🟢 (diff) [$0.87] | 🟡 (diff) [$1.51] | 🟢 (diff) [$0.94] | 🟢 (diff) [$0.90] | 🟢 (diff) [$0.52] | 🟢 (diff) [$1.44] | 🟢 (diff) [$0.34] | | Task7 (vscode) | 13 | 🟡 (diff) [$0.51] | 🟢 (diff) [$0.77] | 🟢 (diff) [$0.74] | 🟢 (diff) [$0.67] | 🟡 (diff) [$0.45] | 🟢 (diff) [$1.05] | 🟢 (diff) [$0.25] | | Task8 (transformers) | 3 | 🟢 (diff) [$0.25] | 🟢 (diff) [$0.19] | 🟢 (diff) [$0.17] | 🟢 (diff) [$0.26] | 🟢 (diff) [$0.23] | 🟢 (diff) [$0.29] | 🟢 (diff) [$0.12] | | Total Correct | | 5/8 | 5/8 | 6/8 | 8/8 | 6/8 | 6/8 | 8/8 | | Avg Cost | | $0.49 | $0.73 | $0.51 | $0.44 | $0.38 | $0.60 | $0.18 |

🟢 Success | 🟡 Incomplete | 🔴 Failure

Cost Comparison: Dirac is 64.8% cheaper than the competition (a 2.8x cost reduction).

* Expected number of files to be modified/created to complete the task.

See evals/README.md for detailed task descriptions and methodology.

🚀 Key Features

  • Hash-Anchored Edits: Dirac uses stable line hashes to target edits with extreme precision, avoiding the "lost in translation" issues of traditional line-number based editing. Hash-Anchored Edits
  • AST-Native Precision: Built-in understanding of language syntax (TypeScript, Python, C++, etc.) allows Dirac to perform structural manipulations like function extraction or class refactoring with 100% accuracy. AST-Native Precision
  • Multi-File Batching: Dirac can process and edit multiple files in a single LLM roundtrip, significantly reducing latency and API costs. Multi-File Batching
  • High-Bandwidth Context: Optimized context curation keeps the agent lean and fast, ensuring the LLM always has the most relevant information without wasting tokens.
  • Autonomous Tool Use: Dirac can read/write files, execute terminal commands, use a headless browser, and more - all while keeping you in control with an approval-based workflow.

📦 Installation

VS Code Extension

Install Dirac from the VS Code Marketplace.

CLI (Terminal)

Install the Dirac CLI globally using npm:

npm install -g dirac-cli

Alternatively, use our official installation script (macOS/Linux):

curl -fsSL https://raw.githubusercontent.com/dirac-run/dirac/master/scripts/install.sh | bash

🚀 CLI Quick Start

  1. Authenticate:
    dirac auth
    
  2. Run your first task:
    dirac "Analyze the architecture of this project"
    

Configuration (Environment Variables)

You can provide API keys via environment variables to skip the dirac auth step. This is ideal for CI/CD or non-persistent environments:

  • ANTHROPIC_API_KEY
  • OPENAI_API_KEY
  • OPENROUTER_API_KEY
  • GEMINI_API_KEY
  • GROQ_API_KEY
  • MISTRAL_API_KEY
  • XAI_API_KEY (x.ai)
  • HF_TOKEN (HuggingFace)
  • ... and others (see src/shared/storage/env-config.ts for the full list).

Common Commands

  • dirac "prompt": Start an interactive task.
  • dirac -p "prompt": Run in Plan Mode to see the strategy before executing.
  • dirac -y "prompt": Yolo Mode (auto-approve all actions, great for simple fixes).
  • git diff | dirac "Review these changes": Pipe context directly into Dirac.
  • dirac history: View and resume previous tasks.

🛠️ Getting Started

  1. Open the Dirac sidebar in VS Code.
  2. Configure your preferred AI provider (Anthropic, OpenAI, OpenRouter, etc.).
  3. Start a new task by describing what you want to build or fix.
  4. Watch Dirac go!

📄 License

Dirac is open source and licensed under the Apache License 2.0.

🤝 Acknowledgments

Dirac is a fork of the excellent Cline project. We are grateful to the Cline team and contributors for their foundational work.


Built with ❤️ by Max Trivedi at Dirac Delta Labs

Related Skills

View on GitHub
GitHub Stars16
CategoryDevelopment
Updated7h ago
Forks1

Languages

TypeScript

Security Score

90/100

Audited on Apr 10, 2026

No findings