Cursor 5

A community and resource hub for Cursor enthusiasts to enhance their experience. Cursor Directory is a platform for Cursor enthusiasts to explore and generate rules, browse MCP servers, post and follow the latest news, learn, connect, and discover jobs. It enhances the Cursor experience with custom rules and provides a community for users.

Open-source workspace for managing multiple coding agents T3 Code is an open-source control plane for coding agents. It provides one interface for orchestrating Claude Code, Codex, OpenCode, Cursor, Grok, and other coding harnesses using subscriptions and credentials that users already own. The application supports agent workflows, model switching, GitHub branch and pull request management, inline diff review, self-hosting, forking, and custom tooling. It is available for Windows, Linux, iOS, and Android, and is MIT licensed.

Online platform for learning AI skills through courses and resources. Takeoff AI is an online platform dedicated to teaching AI skills. It offers courses and resources to help users learn how to build and work with AI, aiming to onboard the world to AI. The platform features courses, prompts, and a changelog, with options for both individual and team learning. It emphasizes practical application, particularly in coding with AI assistance using tools like Cursor.

Native macOS server for fast local AI model inference oMLX is a native macOS inference server for running local AI models on Apple Silicon using Apple's MLX framework. It provides paged SSD KV caching to reduce time-to-first-token for coding agents, continuous batching for higher throughput, and OpenAI- and Anthropic-compatible APIs. oMLX supports LLM, vision-language, embedding, and reranker models, along with tool calling, MCP integration, multi-model serving, and a native menu bar application with a web dashboard.

AI token optimization stack for reducing agent costs and context Caveman is an AI efficiency operating stack that reduces the cost and context size of agent-native development. It provides an MIT-licensed skill, a free local proxy, an Agent SDK, and planned cloud and enterprise services. Caveman compresses logs, JSON, code, diffs, tables, tool outputs, and files before provider calls while preserving recoverable original bytes. It also supports caching, eval-gated model routing, token usage visibility, savings estimates, and verification workflows. The local wrap works with users' own provider keys and does not require a Caveman account.