Share the same project justfile tasks with your AI Coding Agent.

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

WordPress MCP server plugin, live on WordPress.org. Connect Claude Code, Cursor, or any MCP client to WordPress over stdio (WP-CLI) or HTTP. 56 abilities, self-contained, no cloud.

Spec-Driven Development MCP Server, not just Vibe Coding

Scala code intelligence for coding agents. Zero Build Server. Zero Compilation. Just answers.

Give your AI Agent a whole IDE, not just the files

Execute commands interactively on remote Windows machines using the WinRM protocol (just faster)

Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.

A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficiency for coding agent 🌟 Star if you like it!

A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.

Public registry of code-knowledge graphs for AI agents. Awesome-list 2.0: pointers to schema-validated content, not just links.

Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.

Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP integrations, built-in terminal, git, browser and just about anything else you may need.

Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.