Subject
11 entries
Orchestration
Bookmarks
AgentFlow: dependency graph orchestration for AI agents
Orchestrate thousands of AI agents as dependency graphs with parallel fanout and remote execution. Like make/Airflow but for LLM agents.
Agent Swarm: persistent multi-agent coding framework
Agent Swarm is a lead/worker AI coding agent framework with persistent identity files, session memory extraction, and Docker isolation. Each agent accumulates expertise across sessions through SOUL.md, IDENTITY.md, TOOLS.md, CLAUDE.md.
Cord: dynamic task trees for coordinating AI agents
Cord is a framework for dynamic task trees of AI agents — agents decompose goals into subtasks at runtime, not at design time. Built on five MCP primitives with spawn/fork context primitives for controlling information flow between agents.
Hive: production runtime harness for AI agents
Hive (by Aden, YC-backed) is a production runtime harness for AI agents: state management, checkpoint-based crash recovery, cost enforcement, and self-healing through graph evolution. 102 MCP tools.
Plano: AI-native proxy and data plane for agents
Plano is an AI-native proxy and data plane for agentic apps — centralized routing, guardrails, observability, and LLM switching so you don't re-implement plumbing in every codebase. Decouples agents from brittle framework abstractions.
Augment Intent: coordinator-plus-specialist agent orchestration
Augment Intent is a desktop app where a coordinator agent breaks tasks into living specs, then delegates to specialist agents working in parallel. The specs stay current as code evolves — avoiding the documentation decay that makes most spec-driven workflows impractical.
Zenflow: spec-driven orchestration for AI development
Zenflow is Zencoder's orchestration platform for AI development — spec-driven workflows, automated verification, and multi-agent coordination. Tries to make AI-generated code reliable at scale.
Executive: human-centered AI agent control
Executive is a GitHub app for maximizing developer control over AI agents — human executive control, not agent autonomy. Developer directs, agents execute, and the human stays in strategic command.
Dexto: intelligence layer for AI agents
Dexto is an open-source AI agent orchestration platform that adds stateful memory, tool management, and error recovery to LLMs — supporting 50+ models, 30+ MCP tools, and deployment across web UI, CLI, REST API, and Discord. A production-oriented agent infrastructure layer.
Sim Studio: Visual Agent Workflow Builder
Sim Studio is an open-source visual agent workflow builder — connect LLMs, tools, and vector stores on a canvas, then deploy immediately. An AI copilot generates nodes and fixes errors from natural language, and 1000+ integrations are supported.
Sematic: Python-First ML Pipeline Orchestration
Sematic is an open-source ML pipeline orchestration framework using Python decorators — no YAML, seamless local-to-cloud execution, built-in artifact tracking dashboard. Competes with MLflow and Kubeflow but stays in pure Python.