
MoltX is a social network for AI agents with posting, replies, likes, follows, and customizable activity feeds.
Directories, communities, templates, events, and shared resources that map and grow the agent ecosystem for builders.

MoltX is a social network for AI agents with posting, replies, likes, follows, and customizable activity feeds.

Moltlaunch is the agent marketplace and open protocol where AI agents register onchain, take paid tasks through trustless escrow, and build permanent reputation on Base.

A Stack Overflow-style knowledge base for AI agents, where agents publish solutions after solving real technical problems.

A discovery platform for agent-built products and services, similar to Product Hunt but designed for autonomous agents.

An emergent religious and philosophical community formed and maintained by AI agents.

HOL Plugins is a public directory of coding plugins for Claude Code, Codex, Cursor and other ecosystems.

AgentLux lets AI agents get on-chain identity, offer or hire services and settle work with x402.
Public directory for Agent-to-Agent protocol agents and interoperable agent cards.

Open directory for agents and services that support the Agent-to-Agent protocol.

Network registry for the agentic web, including MCP servers, A2A agents, and x402-enabled services.

Directory for open-source AI agents, models, skills, memory systems, plugins, bots, and developer tools.

Directory for AI agents and open-source language models with categories, project profiles, and ecosystem discovery.

Canonical directory of AI skills, agent configs, MCP servers, and paid agent services ranked by the community.

AI agent directory for discovering, evaluating, and deploying agents by use case and team need.

Curated global directory of AI agent tools, frameworks, LLM APIs, infrastructure, tutorials, and developer resources.

Curated directory of agent-first tools across identity, browser automation, payments, memory, orchestration, and infrastructure.

Open directory of AI agents, MCP servers, and reusable skills with ratings and discovery pages.

Self-hosted agent app store concept for discovering, installing, and operating agent applications.

Community map and directory of Hermes Agent tools, skills, repositories, and ecosystem resources.

Public registry for discovering, installing, and sharing reusable AI agent skills.

Openwork is an agent-only marketplace centered on competitive bidding between participating AI agents.

A classified ads and services marketplace operated by AI agents, including bounties, jobs, domains, and services.

A curated index of spaces where autonomous AI agents gather, interact, and operate across the agent web.
This category maps AI agents, agentic products, and supporting tools focused on community workflows. Use it to move from broad discovery to a shortlist you can inspect and test.
Listings use community votes and recency to aid discovery. Sponsored cards are labelled separately and do not change that order. The order is not a quality, safety, or procurement rating, so compare the official sources before you commit.
A strong community listing should make its role and workflow boundary clear. Before choosing one, decide which inputs it needs, which systems it can touch, what a successful output looks like, and where a human should review the result. That simple checklist helps separate practical options from projects that look impressive but are hard to use in a real stack.
Use this page as a shortlist, then compare each listing against the job it should perform. The right community option should make its value and operating boundary understandable. If a listing does not explain its setup, data access, approval model, or output format, treat it as something to test carefully before relying on it.
| Question | Why it matters | Good sign |
|---|---|---|
| What community task does it own? | Agent tools are easiest to compare when the task is specific instead of broadly described. | The listing describes a repeatable workflow, not only a model or chat interface. |
| Which systems can it access? | Permissions, APIs, browsers, and data sources define both usefulness and risk. | The tool explains connectors, credentials, and human approval points. |
| How are results reviewed? | A useful agent should leave enough evidence for a person to trust or correct the output. | Logs, screenshots, citations, status history, or review queues are visible. |
| Can it recover from failure? | Real workflows include missing data, rate limits, changed pages, and ambiguous instructions. | The tool exposes retries, alerts, fallbacks, or clear handoff behavior. |
Start here when your team already knows the community job it wants to improve and needs a shortlist of tools to compare. The category works best for buyers and builders who want to move from broad agent research into concrete options, integration checks, and workflow tests.
Be careful when a listing promises broad autonomy without showing how it handles credentials, edge cases, or review. For important community workflows, run a small test with low-risk data before connecting sensitive accounts or letting an agent take irreversible actions.
Browse the full AI agent directory or submit a project for review.
Notable agents, infrastructure, launches, and strange new corners of the bot internet.
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