Browse 11 tools for your AI coding workflow.
Open-source LLM app development platform. Build AI workflows, RAG pipelines, and agents with a visual interface.
Workflow Builder - Apache 2.0 React SDK for embedding visual workflow editors. Drag-and-drop workflow builder UI with a reference back-end and an execution engine swappable by design, proven with Temporal. Back-end agnos
Enterprise-grade frontend AI coding agent platform with CLI, VS Code extension, desktop app, MCP server, RAG planning, Skills, SDD guardrails, browser automation, and LoRA planner models.
An MCP server that transforms large codebases into searchable, hierarchical feature graphs using RAG, AST, and spectral clustering.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Local-first security scanner for AI agents and software supply chains, detecting prompt injection, MCP risks, tool poisoning, and compromised packages.
MCP server for Screaming Frog SEO Spider – crawl sites, export data, and manage crawl storage via Claude or any MCP-compatible client
Drag-and-drop UI for building LLM flows and AI agents. Visual LangChain builder with no-code interface.
Visual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM, reducing tokens by 20-95% while preserving answers.
Unified MCP server supporting ChromaDB, Couchbase, MongoDB Atlas, Qdrant, and PGVector for RAG-powered AI agents.
