A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.
- Stars
- 330
- Star gain
- +1
- Growth score
- 0.0030
Refreshing signal
Fetching the latest published ranking from Repovil.
AI open-source momentum index
Open-source signal / updated every 6 hours
Explore AI open-source repositories ranked by positive star growth over 24h. Compare recent momentum instead of lifetime popularity.
Browse AI Agents repositories grouped by the active GitHub topic mappings and ranked by recent star growth.
Live ranking
Published
A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.
Put the world's best AI agents to work. One workspace for all of them -- Claude Code, Codex, Gemini, Grok and more, running side by side on your Desktop.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Stealth headless browser for AI agents — bypass Cloudflare, bot detection, and anti-scraping. Drop-in Puppeteer/Playwright replacement.
Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote control via mDNS or zrok tunnel. Coexists with pi's TUI — doesn't replace it.
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
企业级 AI 智能体 Agent 平台,覆盖智能对话、文档知识问答、联网搜索、RAG 检索、MCP 工具协议、Skills 扩展等完整能力。三层执行器体系、双通道混合检索、组合式切块引擎、会话记忆管理、全链路可观测,每个环节都经过深 度设计和工程化打磨。
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents
A curated list of open-source AI agent platforms: AI coworkers and teammates, agent builders and frameworks, workflow automation platforms, browser agents, and coding agents, with licenses.
The CLI for AI agents to control Chrome. Zero config, agent-agnostic, battle-tested.
The all-in-one AI agent. Build mobile apps, frontend, backend, manages files, deep research, schedule tasks and events. Self-improving, self-healing, fully autonomous. TUI, CLI and Daemon. Connect to your favorite channels. Zero Telemetry.
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Skills, rules, and validation hooks that teach AI coding agents to generate correct UdonSharp code
微信 iLink Bot SDK for OpenClaw/AI Agent
Laddr is a python framework for building multi-agent systems where agents communicate, delegate tasks, and execute work in parallel. Think of it as a microservices architecture for AI agents — with built-in message queues, observability, and horizontal scalability.
AI 解说大师 — Agent skill;封装 narrator-ai-cli 供 Claude/Codex 等工具调用
The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across disciplines: CAD, circuits, robots, games and music.
Natively — Free open-source AI meeting assistant, interview copilot, and note taker. The best alternative to Cluely, Otter, Granola, Final Round AI, Fireflies, and Interview Coder. Real-time transcription, AI meeting notes, lecture recording, local RAG, BYOK, and stealth mode. Runs locally. No subscriptions. No data breaches.
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.