Open architecture framework for governed agentic AI execution
Agent Orchestration
When more than one agent, model or tool has to cooperate on a task, something has to decide the order, carry the state and clean up after failures.
When more than one agent, model or tool has to cooperate on a task, something has to decide the order, carry the state and clean up after failures.
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Open architecture framework for governed agentic AI execution
Platform to build, deploy and share autonomous AI agents from plain English prompts
Cost-control layer for AI agents that governs model and tool calls before execution
Marketplace, workspace and studio for discovering, running and building specialized AI agents
Multi-agent platform for teams to coordinate AI specialists and workflows
Unified control layer for AI agents across business apps
Open-source control plane that unifies company context, connectors, and governance for AI agents across tools like Slack, Jira, and GitHub.
Orchestrates multi-agent AI teams for complex tasks across models
OpenAI-compatible API for server-side multi-agent orchestration, LLM routing, and centralized observability.
Open-source framework that turns a single AI assistant into a team of specialized agents for structured, expert-level workflows.
Vendor-agnostic guidance for building safe, reliable and scalable AI agents
Multiplayer coordination layer for AI coding agents on a team
Curated directory of AI agents, MCP servers and agent skills ranked by engagement
Coordinates multiple AI coding agents in a single repository to prevent file collisions
Kanban-style orchestration layer for local AI coding agents
Local agent orchestration tool that selects and manages multiple AI coding agents
A Claude Code plugin that orchestrates up to eight AI models to run structured workflows with multi-model validation.
Neutral control plane for enterprise AI agents that routes, optimizes, governs and secures calls
Turns directives into owned, typed work across Linear, Slack, Notion, and Gmail
Shared memory for AI agents and teams to store and retrieve project context
Production infrastructure for building, running, and governing AI agents on custom models and data
Public index of DeepSeek Harness plugins with daily discovery and trend tracking
Tool for visualizing and analyzing workflows with animated agents
Operating system for building and approving agent workflows
Autonomous AI teammates that log into your tools, learn workflows from demonstrations, and deliver finished work with approvals across desktop and mobile.
End-to-end platform for building, deploying, and observing LLM agents and workflows
Agent-to-agent coordination for planning, hiring, and meetups with human approval
A mission-control platform for building, orchestrating, and managing multi-agent AI workflows with visual workflows and a 100+ skill marketplace.
Open-source framework for building resilient, stateful AI agents with graph-based orchestration, durable execution, and human-in-the-loop control.
Shared memory layer for AI agents across apps and models
Visual tool for designing AI workflows as graphs, loops and prompts
Platform for building and governing AI agents with human oversight and audit trails
17-brain-region self-improving agent platform for memory, learning and multi-agent orchestration
Control plane for running, governing and recovering autonomous agent fleets
Enterprise AI platform for governing, optimizing, and scaling AI agents
Operating system for managing AI agents across business functions
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