Headless AI coding agent that runs a local HTTP server (OpenAPI 3.1) any client can drive — TUI, desktop, IDE plugins. Provider-agnostic: bring keys for any LLM, no vendor lock-in. Ships LSP-aware editing, plan/build agents, and shareable session links.
Manages provider configs for seven coding CLIs (Claude Code, Codex, Gemini CLI, OpenCode and more) from one desktop app, so switching API endpoints no longer means hand-editing JSON, TOML, or .env files. Adds tray quick-switch and cloud sync.
Run and manage open and community LLMs locally via a compact CLI and REST API—supports model import, Docker deployment, and official Python/JS SDKs for local inference, RAG, and dev workflows.
Provides a collaborative API development platform for designing, testing, documenting, and monitoring APIs — with sharable Collections, mock servers, CLI, and AI-driven features (Agent Mode, AI Agent Builder, MCP Server) to automate API workflows.
Turns a top-to-bottom Python script into an interactive web app: each widget interaction reruns the whole script, with cache decorators skipping redundant work. No callbacks or HTML needed; built for data dashboards, ML demos, and internal tools.
Provides an AI-driven English learning app suite (Enjoy) that focuses on speaking practice and pronunciation evaluation. Open-source repo backing a web app, browser extensions for YouTube/Netflix, and a local-first desktop/web client design; some scoring features require the project's paid Enjoy AI service.
Build, customize, and export professional resumes via a privacy-first web app with real-time preview and client-side PDF export. Offers templates, JSON/DOCX exports, Docker self-hosting, and optional AI-driven content suggestions.
Privacy-first, self-hosted personal knowledge manager with block-level references, Markdown WYSIWYG editing and large-document performance; offers local-first storage, OpenAI-based AI writing/Q&A integration, OCR, mobile apps and Docker deployment.
Builds business systems like CRMs, ERPs, and internal tools without code. Data-model-driven design keeps data in standard relational databases separate from the UI, avoiding vendor lock-in. A microkernel plugin architecture makes features composable.
Typed Python client for the OpenAI REST API that offers synchronous and asynchronous clients, typed request/response models, streaming and Realtime support, webhook verification, and integrations for Azure and Amazon Bedrock—built for production integrations and automation.
Self-hostable personal “AI second brain” that turns web pages and documents into a searchable knowledge base, builds custom agents and automations, and connects to local or cloud LLMs with multi-platform access.
Terminal rebuilt around AI agents: orchestrate Claude Code, Codex, and Warp's own agent in parallel, each with codebase indexing and scoped permissions. Run them locally or in the cloud, and bring your own model via Bedrock, LiteLLM, OpenRouter.