Open Source AI Agent Prompt Library Reaches 100 GitHub Stars
An open source repository called ai-setup has been created to address the common problem of developers writing the same system prompts and configurations from scratch when building local AI agent setups. The repository serves as a community-driven library where developers can share what actually works.
What's in the Repository
The repository contains several types of resources for AI agent development:
- Agent prompts
- Cursor rules
- Claude configurations
- Local model workflow setups
Users can either contribute their own configurations or use what others have shared. The project has gained traction with 100 GitHub stars and 90 merged pull requests, indicating active community participation.
Community and Contribution
The maintainers have expressed interest in receiving more local model setups from contributors. For developers working with local AI models, this type of shared knowledge base can help avoid redundant work and provide tested configurations.
There's also a Discord server available for those who want to discuss local AI development with others: https://discord.gg/u3dBECnHYs
📖 Read the full source: r/LocalLLaMA
👀 See Also
Runtime: Sandboxed Coding Agents for Every Team Member
Runtime (YC P26) provides sandboxed coding agent infrastructure that lets non-engineers use Claude Code, Codex, and other agents safely. It snapshots multi-service environments (Docker, Kafka, Redis, seeded DBs) that boot in milliseconds, with guardrails at the infrastructure level.
Claude Token Counter Updated with Model Comparison Feature
Simon Willison's Claude Token Counter tool now supports comparing token counts across different Claude models. The update reveals Opus 4.7 uses 1.0–1.35× more tokens than Opus 4.6 due to an updated tokenizer, potentially increasing costs by around 40% despite identical pricing.
A2P: An MCP Server That Enforces Engineering Discipline for AI Coding Agents
A2P (Architect-to-Product) is an AI engineering framework packaged as an MCP server that enforces a gated workflow: Architecture → Plan → Build → Audit → Security → Deploy, with each feature slice requiring RED → GREEN → REFACTOR → SAST → DONE progression.
Solo developer builds cross-platform desktop AI agent with mobile remote control in 3 weeks, ships to 40+ countries
A solo developer built Skales, a native desktop AI agent with 139+ tools and a mobile companion app for remote control — all in 3 weeks using Claude. The app runs on macOS, Windows, and Linux, is local-first and free, and already has active users in 40+ countries.