Tag: #agent-orchestration
19 packages âĸ â 7,228 total stars
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
GoClaw - GoClaw is OpenClaw rebuilt in Go â with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
Declarative Agent Orchestration. Ship while you sleep.
Local-first identity, memory, and secrets for AI agents. Portable state across models and harnesses.
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, v
Agent ensembles to design, generate, and select the best code for every task.
Self-hosted orchestration layer for autonomous AI agent teams. Shared memory, heartbeat scheduling, vault-first secrets, and cross-model peer review â one command to deploy.
JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2
Multi-agent orchestration system for GitHub Copilot with 29 specialized agents, reusable skills/prompts, and validation tooling.
Open-source multi-tenant AI agent platform â 14 specialized agents, 195+ tools, 37+ AI models. Self-hosted. Fork and deploy your own AI operations team.
Production-ready AI agent framework â semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.
Multi-agent orchestration runtime with task board, flow engine, budget control, MCP integration and real-time dashboard. Self-hosted on Linux/macOS.
MoFlo â AI agent orchestration for Claude Code. Forked from ruflo/claude-flow with patches applied to source, plus feature-level orchestration.
The open-source framework that makes AI agents proactive, self-learning, and autonomous. Multi-project tracking, full logging pipeline, message discipline, and memory review system.
A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows â living inside your projects, running through a recursive
Build and run local AI agents with multi-model support, modular skills, secure controls, and multi-channel access for personal automation tasks.
Enable any language model with permanent, searchable memory using a lightweight middleware for on-demand retrieval and continuous learning.
The open framework for extensible & grounded AI agent orchestration.
A self-evolving AI Agent Team â agents that rewrite their own operating manual.