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Crash-proof LLM pipelines. Resumes from failure without a database.
About
DagPipe makes LLM pipelines crash-proof by saving each completed node's output to a plain JSON file. When a pipeline fails, re-running it skips finished nodes and resumes from exactly where it stopped. No database, no broker, just files.
Built for developers who are tired of losing pipeline progress to timeouts, rate limits, and bad model responses. Especially useful when running multi-step workflows on free tier APIs where every failed node costs real quota.
Ships with smart model routing by task complexity, Pydantic schema validation with auto-retry on malformed output, dead letter queue for failed nodes, context isolation so nodes only see their declared dependencies, and an MCP server for generating pipelines directly from Claude Desktop, Cursor, or Windsurf.
Security Report
9.7
Low Risk9.7Low RiskValid MCP server (1 strong, 1 medium validity signals). 1 known CVE in dependencies Package registry verified. Imported from the Official MCP Registry. Trust signals: 3 highly-trusted packages.
9 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
What You'll Need
Set these up before or after installing:
Free Groq API key for using Groq models
Environment variable: GROQ_API_KEY
Free Gemini API key for Google model
Environment variable: GEMINI_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-devilsfave-dagpipe": {
"args": [
"-y",
"structured-extract"
],
"command": "npx"
}
}
}Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1"Generate a crash-proof pipeline for summarizing research papers"
- 2"Create a pipeline that scrapes a URL, extracts key points, and
- 3saves a markdown report"
- 4"Build a pipeline that takes a job description and generates a
- 5tailored cover letter"
- 6Tool: generate_pipeline — Generates a complete DagPipe pipeline
- 7from a plain English description of what you want to automate
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