Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Lightweight agent orchestration dev tool that lives in your repo

Rust MCP server and CLI for Unraid GraphQL operations across NAS, Docker, VM, and storage workflows.

yt-dlp search, download, metadata, delivery, and Plex workflows over MCP and CLI.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

HAR: open agent harness CLI and MCP server for coding agents, isolated worktrees, and software-factory workflows

Enables MCP clients to run project-scoped video editing workflows: propose and approve editing strategies, apply validated plans, review immutable versions, and export final renders via FFmpeg, with durable persistence and approval gates.

Create, test, publish, and manage Dreamlit notification workflows from AI clients.

A security scanner for your LLM agentic workflows

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Rust MCP server and CLI for Unraid GraphQL, NAS, Docker, VM, and storage workflows.

Score agent manifests, generate CI workflows, and pull Clarx scan findings into your IDE.