/// DIRECTORY
Updated June 7, 2026
The central hub for discovering OpenClaw tools, bots, and AI agent sites. Browse by category, explore tags, and find the right automation stack for your workflow.
If you are evaluating OpenClaw across enterprise implementations or migrating away from legacy web automation, browse our semantic use-cases:
Task, focus, and workflow tools that help OpenClaw agents get more done with less friction.
Explore categoryTriggers, workflows, and autonomous automations built for OpenClaw agents and bots.
Explore categoryInsights, metrics, and reporting dashboards for monitoring OpenClaw-powered operations.
Explore categoryProject and operations tools for managing teams, tasks, and agent-driven workflows.
Explore categorySocial, community, and engagement tools that pair with OpenClaw agents.
Explore categoryContent creation, editing, and publishing tools for OpenClaw-assisted workflows.
Explore categoryGrowth, SEO, outreach, and campaign tools powered by OpenClaw automation.
Explore categoryCommand centers and control panels that visualize and manage OpenClaw activity.
Explore categoryCalendars, bookings, and reminders automated through OpenClaw agents.
Explore categoryAPIs, connectors, and bridges that plug OpenClaw into your stack.
Explore categoryUptime, alerts, logs, and monitoring tools for OpenClaw systems.
Explore categoryHelpful utilities and lightweight tools that complement OpenClaw agents.
Explore categoryDocumentation, SDKs, and reference tools for building with OpenClaw.
Explore categoryCommunity hubs, templates, and shared resources for OpenClaw builders.
Explore categoryExperimental or uncategorized OpenClaw tools and projects.
Explore category/// SHORT ANSWER
OpenClaw tools are websites, apps, bots, automation services, directories, and developer utilities that help people build, run, evaluate, or discover AI agent workflows around OpenClaw and related agent stacks. Some listings are direct OpenClaw companions. Others are useful because they solve adjacent jobs: messaging, browser control, local execution, submissions, screenshots, research, analytics, or agent community discovery.
The strongest way to use this page is to start with the job, not the label. A workflow such as checking new submissions, researching competitors, publishing updates, monitoring a website, or routing Telegram commands has different requirements from a general AI assistant. The right tool should make the inputs, permissions, outputs, and failure states visible before you rely on it.
ClawSites organizes the ecosystem around practical categories because agent buyers and builders usually need a shortlist, not a vague trend report. The category pages show where the current directory has depth, while the guide pages explain the larger context around AI agents, Hermes Agent, local agents, Telegram agents, and OpenClaw comparisons.
Start with the category that matches your workflow or industry.
Drill into tag clusters to find tools that solve a specific problem.
Review features, pricing, and popularity before committing.
/// EVALUATION
AI agent tools can look similar in a quick demo. The differences show up when a workflow has real credentials, real users, and real consequences. Use these criteria to narrow a category page into a shortlist before you install, submit data, or connect a messaging account.
| Factor | What to check | Why it matters |
|---|---|---|
| Workflow fit | Match the tool to one repeated task before comparing broad feature lists. | Agent tools are easiest to judge when the job is concrete: collect inputs, make a decision, call a service, write output, and leave an audit trail. |
| Permission model | Look for clear scopes, approval steps, credential handling, and rollback paths. | OpenClaw and adjacent agent stacks can touch browsers, files, messages, and APIs. Narrow permissions reduce the blast radius when a workflow changes. |
| Human handoff | Confirm where a person can review, pause, approve, or correct the agent. | The best tools do not force full autonomy. They make it obvious when an agent is proposing an action versus taking one. |
| Evidence and logs | Prefer tools that expose prompts, inputs, decisions, external calls, and final outputs. | Logs make agent work debuggable. They also help teams decide whether a tool is reliable enough for customer-facing or revenue workflows. |
| Integration surface | Check whether the tool connects to the channel you actually use: web, Telegram, Discord, local shell, API, database, or browser. | A strong model is not enough. The tool needs to live where the task starts and where the result must be delivered. |
/// CATEGORY MAP
Category choice should follow the workflow boundary. If the tool will create content, start with content and publishing categories. If it will move data or operate a browser, start with automation and productivity. If the main risk is collaboration, start with community and communication tools so you can evaluate moderation, identity, and review controls first.
Task, focus, and workflow tools that help OpenClaw agents get more done with less friction.
Browse this category when your main question is whether an agent can support a repeated productivity workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Triggers, workflows, and autonomous automations built for OpenClaw agents and bots.
Browse this category when your main question is whether an agent can support a repeated automation workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Insights, metrics, and reporting dashboards for monitoring OpenClaw-powered operations.
Browse this category when your main question is whether an agent can support a repeated analytics workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Project and operations tools for managing teams, tasks, and agent-driven workflows.
Browse this category when your main question is whether an agent can support a repeated management workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Social, community, and engagement tools that pair with OpenClaw agents.
Browse this category when your main question is whether an agent can support a repeated social workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Content creation, editing, and publishing tools for OpenClaw-assisted workflows.
Browse this category when your main question is whether an agent can support a repeated content workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Growth, SEO, outreach, and campaign tools powered by OpenClaw automation.
Browse this category when your main question is whether an agent can support a repeated marketing workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
Command centers and control panels that visualize and manage OpenClaw activity.
Browse this category when your main question is whether an agent can support a repeated dashboards workflow with enough visibility, control, and evidence to trust it beyond a one-off demo.
/// WORKFLOWS
A useful OpenClaw stack usually combines several smaller tools: one interface for instructions, one execution environment, one source of truth, one approval layer, and one place to inspect results. These examples show how to turn the directory into a practical research path.
A founder can use the directory to find tools that monitor competitors, summarize market pages, draft outreach, and push final tasks into a project tracker. The important comparison is not only output quality. It is whether the tool can cite the pages it used, respect rate limits, and let a human approve any outbound message.
An operations team may need an agent that reads submissions, checks website status, groups issues by urgency, and drafts a response. In that workflow, the right OpenClaw tool should have category filters, stable API access, review queues, and a clear way to separate automatic checks from human decisions.
Builders who care about privacy often look for local agents, self-hosted runners, or tools that can operate through constrained connectors. For those teams, the directory is useful when it separates local execution, browser automation, messaging interfaces, and cloud services instead of treating every agent as the same kind of product.
People researching the OpenClaw ecosystem often want to know which tools are real, which are experimental, and which are worth trying now. A useful directory page should help them move from broad curiosity to a shortlist by showing categories, guide links, site counts, and practical comparison criteria.
/// METHODOLOGY
ClawSites is most useful when it treats listings as a living map of the agent ecosystem. The goal is not to claim that every tool is production-ready. The goal is to make discovery easier, separate categories clearly, and give builders enough context to decide what deserves a closer look.
A good listing should identify what the tool does, where it runs, which workflow it supports, and how a user can verify the result. When a tool is early, experimental, or hard to verify, that should be clear from the description and surrounding context. For agent tools, uncertainty matters: a broken link, unclear maintenance path, or missing permission model can be more important than a polished screenshot.
Category counts on this page come from the live directory database, so they can change as new submissions are approved. The category pages are the best next step when you need the current set of listings. The guide pages are better when you need a broader explanation, comparison criteria, or a safer first test before connecting accounts and credentials.
If you are submitting a tool, describe the workflow in plain language, include a working URL, choose the closest category, and avoid inflated claims. The strongest submissions explain what the agent can do today, what requires human approval, and what environment or provider is needed before the tool works.
A practical guide to AI agents, risks, use cases, and open source stacks.
Read guideHow teams choose agent workflows by ROI, permissions, integrations, logs, and rollout risk.
Read guideA general decision guide for comparing agent tools by workflow fit, permissions, logs, and business value.
Read guideA discovery guide for agent directories, registries, marketplaces, MCP catalogs, and comparison workflows.
Read guideCompare inspectable agent projects by license, maintenance, install burden, local control, and safety.
Read guideCompare web automation agents by browser runtime, replay evidence, extraction reliability, and session risk.
Read guideCompare MCP servers, hosted gateways, registries, browser tools, and safe tool-access boundaries.
Read guideHow ClawSites reviews, categorizes, and presents AI agent tool listings.
Read guideLive directory counts, category depth, pricing signals, tag trends, and adoption notes.
Read guideWhat Hermes Agent is, when to use it, and how it fits the AI agent ecosystem.
Read guideA practical comparison for choosing between OpenClaw, Hermes, and related directory tools.
Read guideA practical safety checklist for permissions, browser access, credentials, logs, and rollback.
Read guideSetup checklist, provider configuration, and safety checks before installing Hermes Agent.
Read guideLocal, WSL2, VPS, cloud, privacy, and permission architecture.
Read guideHow to use Telegram as an input and approval channel for AI agents.
Read guideHow to connect Hermes Agent to Telegram workflows with safer commands, tokens, logs, and approvals.
Read guideBrowse the full directory or submit your OpenClaw site to get listed.
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