Agents Hub
The AI agent ecosystem is the fastest-moving frontier in technology. Computer Use Agents browse the web autonomously. General-purpose agents like OpenClaw manage your digital life across 50+ services. Agent frameworks let developers orchestrate it all. Pubroot is where this knowledge gets peer-reviewed, fact-checked, and indexed.
OpenClaw
The leading open-source AI agent — a self-hosted, always-on personal assistant that autonomously executes real-world tasks by connecting to your messaging apps, files, online services, and smart home devices. No subscription. No vendor lock-in. You own everything.
Key Capabilities
- Proactive automation — monitors situations and acts independently, not just when prompted
- Persistent memory — learns your patterns, preferences, and context over time
- Browser & computer control — runs shell commands, navigates web, manages local files
- Multi-channel — WhatsApp, Telegram, Discord, iMessage, Slack, and more
- Self-extending — writes its own code to create new skills dynamically
Integration Ecosystem
- Chat platforms — WhatsApp, Slack, Discord, Telegram, iMessage, Mattermost
- AI models — OpenAI, Anthropic, Google, local models via Ollama
- Productivity — Google Calendar, Notion, Linear, GitHub, Jira
- Smart home — Home Assistant, IoT device control
- Custom plugins — MCP servers, REST APIs, custom skill scripts
Computer Use Agents (CUA)
AI agents that autonomously interact with computers, browsers, and GUIs like a human — clicking, typing, scrolling, navigating tabs, filling forms, and completing multi-step web tasks. This is one of the fastest-evolving areas in AI, with new capabilities shipping monthly.
Landscape Overview
| Agent / Platform | Type | Approach | Key Strength | Status |
|---|---|---|---|---|
| Claude Computer Use | API-based CUA | Screenshot analysis + action generation | Deep reasoning, multi-step tasks | Commercial |
| OpenAI Operator | Browser agent | Dedicated browser with autonomous navigation | Web task execution (booking, ordering) | Preview |
| ChatGPT Atlas | Agentic browser | Built-in browser with Agent Mode | Multi-tab navigation, research synthesis | Commercial |
| Browser Use | Framework | Puppeteer/Playwright automation + LLM | 89.1% WebVoyager accuracy (SOTA) | Open Source |
| Perplexity Comet | Agentic browser | Research-focused browsing with AI synthesis | Deep web research and citation | Commercial |
| Manus AI | Specialized agent | Autonomous coding and task completion | End-to-end development tasks | Commercial |
What to Submit About CUAs
- Benchmarks — Accuracy comparisons across CUA platforms on standard tasks (WebVoyager, WebArena)
- Case studies — Real-world CUA deployments: what worked, what failed, and why
- Safety research — Preventing unintended actions (purchases, data exposure, account lockouts)
- Architecture analyses — Screenshot-based vs accessibility-tree-based approaches: tradeoffs
- Tutorials — Building custom CUAs with Browser Use, Playwright, or Selenium + LLMs
Submit under:
ai/computer-use-agents
— Submit now →
General-Purpose AI Agents
Autonomous AI agents that go beyond chat — they schedule meetings, manage files, send messages across platforms, control smart home devices, and orchestrate complex multi-step workflows. Unlike narrow-task agents, general agents like OpenClaw are designed to handle any task you throw at them.
OpenClaw
150K+Self-hosted Node.js agent with persistent memory, proactive behavior, 50+ integrations, and 100+ preconfigured skills. Connects to WhatsApp, Slack, Discord, iMessage, and more. Runs locally — you own your data.
Devin
CommercialAutonomous AI software engineer by Cognition. Handles full development workflows — planning, coding, debugging, and deployment. Works within real dev environments with shell, browser, and editor access.
AutoGPT / BabyAGI
Open SourcePioneering open-source autonomous agent frameworks. AutoGPT chains LLM calls with tool use for multi-step task completion. BabyAGI introduced task-driven autonomous agents with priority queues.
Cursor / Windsurf / Cline
IDE AgentsAI coding agents embedded in IDEs. Cursor (VS Code fork), Windsurf (Codeium), and Cline (open-source) provide agentic coding with file editing, terminal access, browser control, and multi-step task execution.
What to Submit About General Agents
- Setup guides — Detailed walkthroughs for deploying OpenClaw, configuring integrations, and building custom skills
- Comparisons — Head-to-head evaluations: OpenClaw vs AutoGPT vs custom agents on real-world tasks
- Architecture reviews — How these agents handle memory, planning, tool selection, and error recovery
- Security analyses — Safety implications of autonomous agents with broad system access
- Case studies — Real workflows automated by general agents: what ROI looks like in practice
Submit under:
ai/general-agents
— Submit now →
Agent Frameworks & Tooling
The developer ecosystem for building AI agents — from orchestration libraries to protocol standards. These frameworks provide the primitives (memory, tool use, planning, multi-agent coordination) that power both CUAs and general-purpose agents.
| Framework | Focus | Key Feature | License |
|---|---|---|---|
| LangGraph | Stateful multi-agent orchestration | Graph-based workflows with cycles, persistence, and human-in-the-loop | MIT |
| CrewAI | Role-based multi-agent collaboration | Agents with roles, goals, backstories — designed for teamwork | MIT |
| AutoGen | Conversational multi-agent patterns | Microsoft's framework for agents that converse to solve tasks | MIT |
| Semantic Kernel | Enterprise agent development | Microsoft's SDK for integrating AI into enterprise apps (.NET/Python/Java) | MIT |
| MCP (Model Context Protocol) | Tool interoperability standard | Anthropic's protocol for connecting agents to tools and data sources | Open Standard |
| A2A (Agent-to-Agent) | Agent communication standard | Google's protocol for agents to discover and communicate with each other | Open Standard |
| Browser Use | Web automation for agents | Python framework for building browser-controlling agents (89.1% WebVoyager SOTA) | MIT |
What to Submit About Agent Frameworks
- Framework comparisons — LangGraph vs CrewAI vs AutoGen: which to use when, with benchmarks
- MCP implementation guides — Building MCP servers, tool design patterns, protocol best practices
- A2A adoption reports — Agent interoperability experiences and protocol feedback
- Memory solutions — Mem0 vs Zep vs custom: persistent memory for agents compared
- Production patterns — Error handling, retry strategies, cost optimization in agent pipelines
Submit under:
ai/agent-frameworks
— Submit now →
Submit Agent Research
Every submission is reviewed by our 6-stage AI pipeline. Accepted articles are published with trust badges and confidence scores.
Computer Use Agents
Benchmarks, case studies, and safety research on browser/desktop automation agents.
Submit Article →General-Purpose Agents
OpenClaw guides, agent comparisons, architecture reviews, and automation case studies.
Submit Article →Agent Frameworks
Framework comparisons, MCP implementations, memory solutions, and production patterns.
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