https://ramdi.fr/tags/multi-agent/Recent content in Multi-Agent on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/DeepDiagram uses a streaming XML tag output pattern with LangGraph multi-agent orchestration to transform natural language into diagrams in real-time. It features React 19 + FastAPI and supports multimodal inputs.https://ramdi.fr/github-stars/extending-claude-code-with-a-modular-plugin-marketplace-for-multi-agent-ai-workflows/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/extending-claude-code-with-a-modular-plugin-marketplace-for-multi-agent-ai-workflows/Explore a curated marketplace of 14 Python plugins that extend Claude Code through multi-agent orchestration, hook-based workflows, and integrations. Modular, standalone, and easy to install.https://ramdi.fr/github-stars/how-opencode-power-pack-bridges-claude-code-workflows-into-opencode/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/how-opencode-power-pack-bridges-claude-code-workflows-into-opencode/opencode-power-pack translates Anthropic’s Claude Code plugins into OpenCode SKILL.md files, enabling multi-agent AI coding workflows across platforms. Here’s how it works under the hood.https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/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.https://ramdi.fr/github-stars/inside-google-cloud-ai-s-agent-platform-an-end-to-end-operating-system-for-enterprise-ai-agents/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/inside-google-cloud-ai-s-agent-platform-an-end-to-end-operating-system-for-enterprise-ai-agents/Explore Google Cloud AI’s Agent Platform, a full-stack solution spanning foundation models, development kits, open protocols, and governance for enterprise AI agents.https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/PicoAgents is a Python multi-agent framework built from scratch, offering transparent agent orchestration, LLM provider abstraction, streaming UI, and production-ready benchmarks.https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/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.https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/LuaN1aoAgent uses a P-E-R multi-agent framework and causal graph reasoning to achieve 90.4% autonomous success on penetration tests with low exploit cost. Key for AI-driven pentesting.https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/A curated and frequently updated bibliography accompanying the IJCAI 2024 survey paper on LLM-based multi-agent systems, organizing research into five key categories and revealing emerging trends.https://ramdi.fr/github-stars/oh-my-product-multi-agent-orchestration-for-google-s-gemini-cli-via-tmux/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/oh-my-product-multi-agent-orchestration-for-google-s-gemini-cli-via-tmux/oh-my-product extends Google’s Gemini CLI with multi-agent orchestration using tmux and slash commands for parallel AI workflows, offering persistent state and lifecycle controls.https://ramdi.fr/github-stars/openagents-orchestrating-multi-agent-llm-workflows-with-flask-and-next-js/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/openagents-orchestrating-multi-agent-llm-workflows-with-flask-and-next-js/OpenAgents hosts three specialized LLM agents—Data, Plugins, Web—via a Flask API and Next.js UI, integrating sandboxed code execution, plugin selection, and browser automation.https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/OpenAgentsControl enforces plan-first, approval-gated AI code generation using a multi-agent pipeline and context-aware pattern loading to produce consistent, project-specific code across TypeScript, Python, Go, and Rust.https://ramdi.fr/github-stars/optillm-transparent-inference-time-scaling-for-improved-llm-reasoning/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/optillm-transparent-inference-time-scaling-for-improved-llm-reasoning/OptiLLM is an OpenAI-compatible inference proxy that boosts LLM reasoning with 20+ techniques like Mixture of Agents and MCTS, requiring no model retraining. Use a simple prefix to improve accuracy 2-10x.https://ramdi.fr/github-stars/pentest-agents-a-cross-ide-autonomous-bug-bounty-framework-with-multi-agent-ai/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/pentest-agents-a-cross-ide-autonomous-bug-bounty-framework-with-multi-agent-ai/pentest-agents deploys 50 specialized AI agents across 7 coding tools with a multi-IDE portability layer, autonomous exploit chains, endpoint brain, and MCP servers for bug bounty hunting.https://ramdi.fr/github-stars/pm-claude-skills-modular-professional-workflows-as-claude-ai-skills-in-markdown/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/pm-claude-skills-modular-professional-workflows-as-claude-ai-skills-in-markdown/pm-claude-skills is a large open-source library of 135 markdown skills for Claude AI, spanning 16 professions and multi-agent templates with data connectors for automated workflows.https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/This repo reverse-engineers Claude Code’s AI coding agent prompts into reusable templates covering safety, tool routing, multi-agent coordination, and memory management for practical prompt engineering.https://ramdi.fr/github-stars/inside-claude-code-from-scratch-a-practical-reconstruction-of-anthropic-s-coding-agent/Sat, 09 May 2026 11:42:26 +0000https://ramdi.fr/github-stars/inside-claude-code-from-scratch-a-practical-reconstruction-of-anthropic-s-coding-agent/Claude Code From Scratch distills Anthropic’s 500K+ line coding agent into ~8,000 lines of Python and TypeScript, revealing core architecture like the Agent Loop, semantic memory, multi-agent skills, and context compression.https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/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.https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/Kiln implements a 7-step multi-agent AI pipeline entirely through markdown files and Claude Code’s native primitives, avoiding any runtime or package dependencies.https://ramdi.fr/github-stars/orca-orchestrating-multiple-ai-coding-agents-with-git-worktree-isolation/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/orca-orchestrating-multiple-ai-coding-agents-with-git-worktree-isolation/Orca is a cross-platform IDE that runs multiple AI coding agents in isolated Git worktrees, enabling parallel development without branch conflicts. Subscription-agnostic and feature-rich.https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-xcrawl-skills-for-web-data-apis/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-xcrawl-skills-for-web-data-apis/xcrawl-skills defines standardized AI agent skills with normalized inputs/outputs for web data tasks like scraping and crawling via the XCrawl API. It enables multi-agent orchestration with minimal integration.https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/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.https://ramdi.fr/github-stars/agentic-stack-portable-multi-agent-memory-for-ai-coding-assistants/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/agentic-stack-portable-multi-agent-memory-for-ai-coding-assistants/agentic-stack provides a harness-agnostic shared memory layer for AI coding agents, enabling seamless context persistence and migration across tools like Claude Code and Cursor.https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/ClawSync offers a multi-agent AI platform using Convex backend, with shared soul documents for reusable personalities and per-agent model routing across popular LLMs. Explore its architecture and setup.https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/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.https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/Agent Kanban is a TypeScript multi-agent platform that uses Ed25519 cryptographic identities to manage AI coding agents in a leader-worker workflow with atomic task claiming and real-time collaboration.https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/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.https://ramdi.fr/github-stars/autohedge-a-multi-agent-autonomous-hedge-fund-framework-for-solana-trading/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/autohedge-a-multi-agent-autonomous-hedge-fund-framework-for-solana-trading/AutoHedge implements a four-agent sequential pipeline for autonomous trading on Solana, using a risk-first design and structured JSON outputs for reliable multi-agent coordination.https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/A practical 18-step tutorial progressively builds a minimal AI agent into a production-ready multi-agent system with event-driven architecture and concurrency control.https://ramdi.fr/github-stars/council-of-high-intelligence-orchestrating-structured-multi-agent-ai-deliberations-across-multiple-llms/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/council-of-high-intelligence-orchestrating-structured-multi-agent-ai-deliberations-across-multiple-llms/Council of High Intelligence is a Shell tool coordinating 18 AI personas across Claude, OpenAI, Gemini, and Ollama, enforcing true disagreement via structured multi-round deliberations.https://ramdi.fr/github-stars/exploring-claude-api-integration-patterns-with-anthropics-claude-cookbooks/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/exploring-claude-api-integration-patterns-with-anthropics-claude-cookbooks/anthropics/claude-cookbooks offers Jupyter Notebook recipes demonstrating practical Claude API usage, including sub-agent orchestration, multimodal vision, and RAG patterns.https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/Fire Enrich orchestrates 5 specialized AI agents in sequence to enrich company profiles from email addresses, using Next.js, OpenAI, and Firecrawl.https://ramdi.fr/github-stars/how-the-claude-plugins-repo-orchestrates-multi-agent-ai-consultation-with-multiple-llms/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/how-the-claude-plugins-repo-orchestrates-multi-agent-ai-consultation-with-multiple-llms/claude-plugins is a TypeScript-based plugin marketplace for Claude Code, featuring a multi-agent consultant plugin that runs parallel LLMs like GPT-5, Gemini, Grok, Perplexity, and Claude for AI consultation.https://ramdi.fr/github-stars/llm-wikid-agent-agnostic-ai-knowledge-base-with-schema-driven-compilation-for-obsidian/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/llm-wikid-agent-agnostic-ai-knowledge-base-with-schema-driven-compilation-for-obsidian/llm-wikid uses a CLAUDE.md schema to control a multi-phase ingest pipeline compiling markdown wiki pages for Obsidian, offering better Q&A at scale than RAG. Supports multiple AI agents and quality checks.https://ramdi.fr/github-stars/mapping-the-llm-agent-landscape-with-the-awesome-llm-agents-curated-catalog/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/mapping-the-llm-agent-landscape-with-the-awesome-llm-agents-curated-catalog/A curated catalog of 20+ LLM agent frameworks and tools organized by agent type and capabilities. Understand architectural differences and trade-offs in LLM agent design.https://ramdi.fr/github-stars/memex-a-local-first-ai-native-knowledge-management-app-with-custom-multi-agent-orchestration/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/memex-a-local-first-ai-native-knowledge-management-app-with-custom-multi-agent-orchestration/Memex is a Flutter-based local-first personal knowledge app using multi-agent AI to organize and extract insights. It supports custom agents with event-driven triggers and 14+ LLM providers.https://ramdi.fr/github-stars/multiworld-a-unified-framework-for-multi-agent-multi-view-video-world-modeling/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/multiworld-a-unified-framework-for-multi-agent-multi-view-video-world-modeling/MultiWorld offers a unified framework for multi-agent multi-view video world modeling using a frozen VGGT backbone for implicit 3D understanding. It supports scalable multi-agent control and autoregressive inference.https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/Open Computer Use enables AI agents to control real computers using specialized Browser, Terminal, and Desktop agents running in isolated Docker VMs. It achieves 82% on the OSWorld benchmark.https://ramdi.fr/github-stars/pai-opencode-modular-multi-agent-ai-infrastructure-with-smart-model-routing/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/pai-opencode-modular-multi-agent-ai-infrastructure-with-smart-model-routing/PAI-OpenCode offers a modular AI infrastructure with 16 specialized agents and smart model routing across 75+ providers, optimizing performance and cost with a minimal 20KB core.https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/Paper2Agent automates converting research paper codebases into interactive MCP servers for AI coding agents, handling tutorial extraction, tool generation, and test coverage with minimal human input.https://ramdi.fr/github-stars/xurl-a-unified-cli-abstraction-for-multi-agent-ai-workflows-with-a-custom-uri-scheme/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/xurl-a-unified-cli-abstraction-for-multi-agent-ai-workflows-with-a-custom-uri-scheme/xURL offers a Rust-based CLI that unifies multiple AI agent CLIs under a single agents:// URI scheme, enabling consistent conversation management across providers.https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/DATAGEN orchestrates eight specialized AI agents using LangGraph to automate data analysis workflows with progressive disclosure and multi-LLM provider support.https://ramdi.fr/github-stars/egregore-persistent-multi-agent-collaboration-with-claude-code-hooks-and-git-based-shared-memory/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/egregore-persistent-multi-agent-collaboration-with-claude-code-hooks-and-git-based-shared-memory/egregore uses Claude Code hooks and git-based shared memory to enable persistent, multi-agent collaboration without daemons or network calls. A shell script driven, version-controlled protocol.https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/AG2 Studio offers a FastAPI + Next.js UI for prototyping multi-agent AI workflows on the AG2 framework. It supports multiple LLMs and skill composition but is a reference, not production-ready.https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/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.https://ramdi.fr/github-stars/navigating-the-ai-agent-ecosystem-with-the-awesome-ai-agents-2026-catalog/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/navigating-the-ai-agent-ecosystem-with-the-awesome-ai-agents-2026-catalog/A living catalog of 340+ AI agent tools and frameworks in 2026, with a deep dive into GNAP’s minimal multi-agent coordination approach using git and JSON files.https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/NVIDIA NeMo Agent Toolkit adds performance primitives, profiling, and runtime intelligence to multi-agent workflows alongside existing frameworks like LangChain. It enables latency-aware routing, token-level profiling, and YAML-driven flows.https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/RsClaw is a Rust-based AI agent engine featuring persistent three-layer memory across sessions, multi-agent delegation, and low resource usage in a single 15MB binary.https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/Sat, 02 May 2026 20:17:54 +0000https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/CrewAI is a Python framework for autonomous AI agents emphasizing speed, flexibility, and precise control through ‘Crews’ and ‘Flows’. It offers enterprise features for production-grade AI orchestration.https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/Sat, 02 May 2026 20:07:04 +0000https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/Langflow offers a Python-based visual platform to build and deploy AI agents and workflows with multi-agent orchestration, vector DB support, and enterprise features.https://ramdi.fr/github-stars/metagpt-orchestrating-multi-agent-ai-teams-to-automate-software-development/Sat, 02 May 2026 20:07:04 +0000https://ramdi.fr/github-stars/metagpt-orchestrating-multi-agent-ai-teams-to-automate-software-development/MetaGPT uses a multi-agent system with defined GPT roles following SOPs to automate software development from one-line prompts. It simulates a software company with role-based AI collaboration.https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/Sat, 02 May 2026 07:48:10 +0000https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/TradingAgents uses specialized LLM agents in a structured bull/bear debate to mimic real trading firms. Supports 10+ LLMs, persistent memory, and CLI/Docker usage.https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/Sun, 26 Apr 2026 23:47:28 +0000https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/Cua provides a multi-component open-source stack for building and benchmarking computer-use agents that control full desktops without disrupting user focus, across macOS, Linux, Windows, and Android.https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/Fri, 24 Apr 2026 18:26:13 +0000https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/Awesome LLM Apps offers 100+ runnable AI agent and RAG templates for quick LLM app development. It supports multiple providers and advanced multi-agent patterns with minimal setup.