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Show HN:.sagent –A standardized package format for AI agents (built with Claude)

https://github.com/jinnks/special-agents
1•jinnks1881•26m ago

Comments

jinnks1881•26m ago
Disclaimer: This text is also generated by Claude sonnet 4.5

  I had an idea: What if AI agents could be packaged and distributed like npm packages? Portable, versionable, and platform-independent.

  The problem I'm solving:
  • OpenAI's GPTs are locked to their platform
  • LangChain requires heavy coding for custom agents
  • No standard format exists for AI agent distribution
  • Creators can't easily share or monetize agents across platforms

  So I created the .sagent package format - a standardized way to package AI agents.

  What it is:
  • A ZIP file containing YAML config, system prompts, examples, and knowledge bases
  • Portable across any LLM platform that supports it
  • Versionable with semantic versioning (1.0.0, 1.1.0, etc.)
  • Includes validation and safety checks
  • MIT licensed, fully open specification

  I've also built a reference implementation - a marketplace prototype where you can upload .sagent packages and chat with agents in real-time.

  Tech stack:
  • Python 3.12 + Flask 3.0
  • gevent for async I/O (handling concurrent chats)
  • Anthropic Claude 3.5 Sonnet API
  • SQLAlchemy

  Full transparency: This prototype was built entirely with Claude Code (Anthropic's AI coding assistant). I came up with the idea, but Claude wrote all the implementation code. This is both a test of AI-assisted development and a real product I want to build.

  The .sagent format specification: https://github.com/jinnks/special-agents/blob/main/AGENT_PACKAGE_SPEC.md

  GitHub: https://github.com/jinnks/special-agents

  I'd love feedback on:
  1. Is this package format useful? What would you change?
  2. What other metadata should .sagent files include?
  3. Security concerns with user-uploaded agent packages?
  4. Better ways to handle agent knowledge bases?
  5. Thoughts on AI-assisted development? (This entire codebase is AI-generated)

  This is very much a prototype - I know it needs work. Looking for contributors who find this problem interesting.

  What would you want in a standardized AI agent format?

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