<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Orchestration on Noureddine RAMDI</title><link>https://ramdi.fr/tags/orchestration/</link><description>Recent content in Orchestration on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/orchestration/index.xml" rel="self" type="application/rss+xml"/><item><title>Fusion: orchestrating AI agents with git worktree isolation and multi-node synchronization</title><link>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</guid><description>Fusion uses git worktree isolation to run parallel AI agents without conflicts, syncing across desktop, mobile, and CLI via a multi-node mesh.</description></item><item><title>Inside Everything Claude Code (ECC): A multi-agent AI coding orchestration runtime evolving in Rust</title><link>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</guid><description>ECC is a performance optimization system for AI coding agents, now evolving into a Rust-based orchestration runtime managing 60 agents and 232 skills across 12 languages.</description></item><item><title>Kodo: orchestrating AI coding agents with a plain API orchestrator for better autonomous development</title><link>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</guid><description>Kodo is a Python multi-agent orchestration layer coordinating AI coding agents via a plain API orchestrator, improving autonomous coding accuracy by 24% over single-agent setups.</description></item><item><title>Prefect: Python-native workflow orchestration made simple and scalable</title><link>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</guid><description>Prefect turns Python scripts into production-ready workflows with minimal code changes, offering a self-hosted UI and cloud option for reliable, observable pipelines.</description></item><item><title>Goal-Driven: orchestrating long-lived AI agents with prompt-based verification loops</title><link>https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/</guid><description>Goal-Driven offers a prompt-based master-subagent architecture to sustain long-running AI problem-solving sessions through a verification-driven orchestration loop without code or frameworks.</description></item><item><title>How Kiln orchestrates multi-agent AI workflows using markdown and Claude Code</title><link>https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/</guid><description>Kiln implements a 7-step multi-agent AI pipeline entirely through markdown files and Claude Code&amp;rsquo;s native primitives, avoiding any runtime or package dependencies.</description></item><item><title>TinyAGI: A lightweight multi-agent orchestration platform with SQLite-backed task queue</title><link>https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/</guid><description>TinyAGI is a TypeScript platform for solo operators managing multiple AI agent teams. It uses a SQLite queue with atomic transactions for reliable async task processing and supports multi-channel messaging.</description></item><item><title>llm-wiki: orchestrating multi-agent LLM research into persistent knowledge bases</title><link>https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/</guid><description>llm-wiki is a shell-based orchestration layer that turns LLM agents into a persistent, multi-agent research wiki. Supports up to 10 agents, deep investigations, and durable provenance tracking.</description></item><item><title>ZenML: a unified MLOps platform bridging classical ML and AI agent orchestration</title><link>https://ramdi.fr/github-stars/zenml-a-unified-mlops-platform-bridging-classical-ml-and-ai-agent-orchestration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/zenml-a-unified-mlops-platform-bridging-classical-ml-and-ai-agent-orchestration/</guid><description>ZenML offers an open-source Python SDK to orchestrate full ML and AI agent lifecycles, integrating popular tools and enabling natural-language MLOps interactions via its MCP server.</description></item><item><title>AgentFlow: orchestrating AI coding agents with graph-based parallelism and remote execution</title><link>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-graph-based-parallelism-and-remote-execution/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-graph-based-parallelism-and-remote-execution/</guid><description>AgentFlow is a Python library for orchestrating AI coding agents using dependency graphs, supporting parallel fanout, iterative refinement, and remote execution. It integrates with Codex CLI for natural-language pipeline creation.</description></item><item><title>AgentOps: a local operating layer for cross-vendor AI coding agents with multi-agent consensus</title><link>https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/</guid><description>AgentOps provides a Go-based local operating layer for AI coding agents, enabling persistent memory, validation gates, and multi-agent review across vendors with zero cloud dependency.</description></item><item><title>AgentsMesh: a self-hosted AI agent orchestration platform with control plane/data plane separation</title><link>https://ramdi.fr/github-stars/agentsmesh-a-self-hosted-ai-agent-orchestration-platform-with-control-plane-data-plane-separation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentsmesh-a-self-hosted-ai-agent-orchestration-platform-with-control-plane-data-plane-separation/</guid><description>AgentsMesh offers a self-hosted AI agent orchestration platform with a clean control/data plane split using gRPC+mTLS and WebSocket relay for real-time terminal I/O streaming.</description></item><item><title>gnhf: Git-backed orchestration of autonomous AI coding agents</title><link>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</guid><description>gnhf runs AI coding agents in autonomous git-backed loops, enabling persistent, version-controlled iterative code generation with rollback and resume capabilities.</description></item><item><title>Kitaru: a durable runtime for autonomous AI agents with checkpointed execution</title><link>https://ramdi.fr/github-stars/kitaru-a-durable-runtime-for-autonomous-ai-agents-with-checkpointed-execution/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kitaru-a-durable-runtime-for-autonomous-ai-agents-with-checkpointed-execution/</guid><description>Kitaru offers a framework-agnostic runtime for autonomous AI agents with durable execution via checkpointing, enabling replay and state preservation to avoid costly restarts on failures.</description></item><item><title>Station: a Go runtime for multi-agent AI orchestration with MCP stdio bridging</title><link>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</guid><description>Station is an open-source Go runtime that orchestrates multi-agent AI systems on self-hosted infrastructure using a Git-backed workflow and MCP stdio bridging. It supports 41 AI tools and multiple AI providers.</description></item><item><title>MCO: orchestrating multiple AI coding agents through a neutral CLI layer</title><link>https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/</guid><description>MCO is a Python CLI tool that orchestrates multiple AI coding agents in parallel, aggregating results with deduplication and consensus, enabling multi-agent review workflows from any AI IDE.</description></item><item><title>CrewAI: A lean Python framework for orchestrating autonomous AI agents with precise control</title><link>https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/</link><pubDate>Sat, 02 May 2026 20:17:54 +0000</pubDate><guid>https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/</guid><description>CrewAI is a Python framework for autonomous AI agents emphasizing speed, flexibility, and precise control through &amp;lsquo;Crews&amp;rsquo; and &amp;lsquo;Flows&amp;rsquo;. It offers enterprise features for production-grade AI orchestration.</description></item><item><title>DeerFlow 2.0: orchestrating multi-agent AI workflows with flexible LLM integration</title><link>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</guid><description>DeerFlow 2.0 is a Python framework for orchestrating AI sub-agents and memory with support for multiple LLMs and execution sandboxes. It uses a modular config and setup wizard for flexible deployment.</description></item></channel></rss>