280 results for “topic:agent-orchestration”
The open-source dashboard for AI agent orchestration. Manage agent fleets, track tasks, monitor costs, and orchestrate workflows — with direct CLI integration, GitHub sync, and real-time monitoring.
Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable.
Your autonomous engineering team in a CLI. Point Zeroshot at an issue, walk away, and return to production-grade code. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI.
TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML
Multi-agent AI gateway with teams, delegation & orchestration. Single Go binary, 11+ LLM providers, 5 channels.
The .NET library to build AI agents with 30+ built-in connectors.
Babysitter enforces obedience to agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
Build organizations of OpenClaw agents that coordinate work across Codex, Claude Code, Cursor, OpenCode, and more 🐐 🐐 🐐
Openclaw多智能体协同系统 | Multi-Agent OS for Decision Makers — 基于 OpenClaw (Clawbot) + Slack,让 AI 团队各司其职、自主稳定迭代。
Autonomous agent substrate for Claude Code CLI. Research→Plan→Implement workflows with quality gates, TDD enforcement, and multi-agent coordination. 4.8-5.5x faster development. Built on Anthropic's engineering research.
The World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Automation patterns. Beads + Agent Mail + 50 bash tools. Supervise 20+ agents from one UI.
GigaAgent — это универсальный агент-оркестратор для решения широкого круга задач (ReAct + REPL)
Routines-based, event-driven workflow orchestration for Python—compose complex data/AI pipelines and run concurrent workflows across distributed systems with durable state and robust error handling.
🤖 AI assistant command and control dashboard — Spawn more Overlords!
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers
AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale.
▶📚 Playbooks is a semantic programming system for AI agents
Open-source Claude Code agent multiplexer — run dozens of parallel AI coding agents unattended via tmux
"FastAgent: Simple, Fast, and Strong LLM Agents"
TUI for easily running parallel coding agents
No description provided.
List of agent orchestrators
Visual planning and context control for shipping big apps with AI coding. Build from scratch or map existing repos. Dossier maps user workflows, sets agent context per feature, builds, tests and ships from one interface.
Headless, declarative multi-agent orchestration framework with a domain-agnostic signal bus, workflow engine with Postgres persistence, and configurable agent runtime (ships code review domain).
The AGI-First Operating System for Autonomous AI Software Teams. Orchestrate parallel Claude Code agents with goal-driven DAG planning, self-healing QA loops, and persistent local memory. 🐜🤖
Observable AI cognition in Kotlin Multiplatform. Every agent decision emits a structured event — peer into the glass brain.
Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.
Governed CLI framework for deterministic, auditable AI agent workflows
Production-ready multi-agent orchestration engine built on Google ADK. Database-driven agent config, 50+ LLM providers, MCP protocol, persistent memory, web dashboard, RBAC.
A distributed AI agent orchestration layer enabling transformation of Codex for macOS into collective intelligence networks. Features neural mesh networking, swarm intelligence algorithms (PSO/ACO/Flocking), Byzantine fault-tolerant consensus, Metal-accelerated computations, and autonomous agent collaboration.