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.
Cross-platform API client for debugging, designing, testing and mocking GraphQL, REST, WebSockets, SSE and gRPC. Provides selectable storage backends (Local Vault, Git Sync, Cloud Sync with optional E2EE), a native OpenAPI editor, built-in test suites and a plugin ecosystem — useful for reproducible API development and pre-production validation.
Unified Node.js library for web crawling and browser automation that fetches pages and files via headless browsers or raw HTTP. Provides persistent queues, proxy rotation, session management, storage, and human-like fingerprints to build scalable data pipelines (e.g., RAG/LLM datasets).
Node-based platform for building automation workflows that wire together 400+ apps and 70+ LangChain AI nodes, supporting agents, RAG, and 12+ LLM providers. Fair-code licensed and self-hostable, so pricing is server time rather than per-operation.
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.
Manages OAuth, credential storage, API proxying, and deployable TypeScript integration functions so products and AI agents can access 800+ external APIs. Includes AI-assisted function generation, a production runtime with scaling and observability, and cloud or self-hosted deployment options.
Exposes a self-hosted WhatsApp HTTP/REST API that runs a real WhatsApp Web instance so apps and AI agents can read/send messages, manage contacts, and automate flows. Offers three engine modes (WEBJS, NOWEB, GOWS), Docker images, and MCP support; relies on WhatsApp Web so blocking risk exists.
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.
Locally hosted frontend that connects to many text, image, and TTS backends (KoboldAI, Ooba, Tabby, OpenAI, Claude, OpenRouter, Mistral, NovelAI, Horde). Built around character cards, lorebooks, group chats, and extensions for deep prompt control.
Runs AI-generated code in secure, isolated cloud sandboxes you control via Python or JavaScript SDKs; supports self-hosting (Terraform) and AWS/GCP, enabling agents and code-interpreting workflows to execute real-world tools safely.
Declarative CLI and library to evaluate and red-team LLM apps: run test cases against prompts and models, compare providers side-by-side, and scan for jailbreaks, prompt injection, and data leaks — with CI/CD and pull-request code scanning built in.
Provides an uncensored, self‑hostable studio for generating AI images, videos, and lip‑synced talking videos in browser or desktop. Integrates 200+ models via Muapi.ai, supports local inference (stable-diffusion.cpp), multi-image inputs and workflow automation — no content filters.