Flowise

LangFlow is an open-source, low-code visual builder for creating and running language-model pipelines, agent workflows, and retrieval-augmented generation (RAG) applications. The project is developed and maintained by the open-source community led by the GitHub user logaretm and integrates with language-model providers and tools such as LangChain.

Flowsint is an open-source OSINT graph exploration tool for ethical investigation, cybersecurity analysis, and reconnaissance. It represents relationships between entities in a visual graph and uses automated enrichers for domains, IP addresses, ASNs, CIDRs, websites, social profiles, organizations, email addresses, phone numbers, cryptocurrency wallets, and other investigation data. Enrichers include DNS and reverse-DNS resolution, subdomain discovery, WHOIS, website crawling, link and text extraction, username searches through Maigret, breach checks, and cryptocurrency transaction and NFT lookups; an N8n connector supports workflow integration. The project is organized into a frontend application, a FastAPI server, core orchestration and vault utilities, Pydantic data types, and enricher modules. It uses PostgreSQL and Neo4j for data storage, Redis and Celery for task processing, and provides authentication, graph database integration, REST endpoints, and real-time event streaming. The application can be run locally or deployed on a server with Docker and Docker Compose, with data stored on the operator's machine. It is intended for lawful, ethical investigation and prohibits unauthorized intrusion, surveillance, harassment, doxxing, and other misuse.

MLflow is an open-source AI engineering platform for agents, large language models, and machine-learning models, developed in the MLflow repository. It provides experiment tracking for models, parameters, metrics, and evaluation results, along with production observability, evaluation, prompt versioning and optimization, and model lifecycle tools. Its agent and LLM observability captures application traces using OpenTelemetry and supports different LLM providers and agent frameworks; its AI Gateway provides an OpenAI-compatible interface for routing requests, managing rate limits and credentials, handling fallbacks, controlling costs, and applying guardrails. MLflow can be run as a server and accessed through Python, TypeScript/JavaScript, Java, and other programming languages, with integrations including OpenTelemetry and MCP.

ComfyUI is an open-source AI content-creation engine and diffusion-model GUI, API, and backend developed by Comfy-Org. Its visual node-graph interface lets users build and reuse no-code workflows for image, video, audio, 3D, and text generation, editing, and processing, including workflows using diffusion models, VAEs, text encoders, LoRAs, ControlNets, adapters, and upscalers. Workflows can be saved and loaded as JSON, exposed through App Mode, or integrated into applications through local API endpoints. The engine supports asynchronous queueing, partial graph re-execution, VRAM and RAM management, model offloading, quantized models, custom nodes, and fully offline core operation unless optional resources are requested. It can run locally on Windows, Linux, and macOS through desktop, portable, or manual installations, with support for NVIDIA, AMD, Intel, Apple Silicon, and Ascend hardware. Comfy-Org also provides an official paid cloud version.

TinyFish is a company and platform that provides enterprise web infrastructure for AI agents. It offers a fully serverless architecture to run hundreds of websites concurrently for tasks such as navigation, authentication, data extraction, and automating web workflows.