The open-source AI agent config repo the community has been building just hit 888 stars — asking for feedback & feature ideas

Reddit r/artificial / 5/2/2026

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Key Points

  • The community-run open-source repo “caliber-ai-org/ai-setup” has reached 888 GitHub stars and nearly 100 forks, offering free AI agent configuration resources without a paywall.
  • It provides production-oriented components including system prompt templates for major frontier models, tool/function-calling schemas, RAG pipeline configurations, and multi-agent orchestration patterns.
  • The repository includes integrations and setup files for popular agent frameworks such as LangChain/LangGraph, as well as configurations for Ollama and local model environments.
  • The maintainers are actively soliciting feedback on which agent patterns users want added, what content is missing, and which setups have proven effective in production.

Over the past year our team and community have been building an open-source collection of AI agent configs: production-ready system prompts, tool-calling schemas, RAG setups, multi-agent orchestration patterns, and model-specific tuning files.

Repo: https://github.com/caliber-ai-org/ai-setup

This week it crossed 888 GitHub stars and nearly 100 forks. All free, no paywall, no product to sell.

What's in there:

- System prompt templates across GPT-4o, Claude 3.5/3.7, Gemini 2.5 Pro

- Tool-use and function calling schemas for agentic workflows

- LangChain / LangGraph agent setup configs

- RAG pipeline configurations with different retrieval strategies

- Ollama and local model setups

- CLAUDE.md / AGENTS.md templates for coding agent contexts

- Multi-agent orchestration patterns

We'd love to hear from this community:

  1. What AI agent patterns are you using that you'd want to see in the repo?

  2. What's missing that would make this genuinely useful to you?

  3. What setups have you found work well in production?

All feedback and contributions are welcome.

submitted by /u/Substantial-Cost-429
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