Search. Build. Share your agents.

Ship AI agentspeople actually use.

AgentMason is a marketplace and studio for useful AI agents. Search by profession, install a real package, see the workflow, connect the tools, run evals, then share a chat link or API endpoint.

2,000+ curated agents Evals before you ship Chat, API, and embed
AgentMason Agent Studio with a visual orchestration plan
Connects toGitHubGmailSlackNotionGoogle DriveLinearJiraComposio (1,000+)
How it works

Search, build, and ship in three steps

1

Search the marketplace

Find a ready agent by job, role, app, or outcome in a curated library — or start from a blank intent.

2

Install or build from intent

Install a real package in a click, or describe one intent and let Agent Studio draft the workflow and auto-generate evals.

3

Use it as chat, API, or embed

Share a chat link, call the run API, or drop a chat-bubble widget on your site. Same agent, three surfaces.

Agent Studio

One intent in. A working agent out.

Type a single plain-English intent. The studio drafts the visual orchestration — single, sequential, multi-agent, sub-agent handoff, retry loop, or human approval — auto-generates smoke evals, and suggests the right tools and connectors. The form is secondary; the picture comes first.

Build from one intent — no long form
Evals auto-generated for every agent
Orchestration pattern is always visible
Build from intent
One intent in. A working agent out.
Agent Library

Start from a curated, deduped library

Browse ~2,000 dense, reusable agents by job, role, app, or outcome — not 47k of noise. Filter by category, sort by trust, and install in a click. Every listing resolves to a real package, not just metadata.

Search by profession or use case
Trust score, installs, and connectors per card
Download or install a full package
Search the library
Start from a curated, deduped library
Real packages

Every agent is files, not a mystery prompt

Each agent ships as a package: a visible workflow, runtime spec, README, smoke evals, an example run payload, and an env template. Inspect every file, run evals before publish, and export to Claude Code or OpenAI.

revision.json · workflow.json · README · evals · example · env
Evals run before you publish
Export to Claude Code or OpenAI
See an agent
Every agent is files, not a mystery prompt

Use it three ways

The same published agent works as a shareable chat, a run API, or a chat-bubble widget you drop on any site.

Chat link

Share /chat/your-agent. Recipients chat instantly — no workspace, no login for public agents.

AMWeb Search Agent
Summarize the top AI news today
Here are 3 cited highlights from today’s sources…
Message…

Run API & MCP

Call the same agent from code with a scoped API key, or expose it to any MCP-aware client.

curl -X POST \
  "$BASE/api/agents/\
   web-search-agent/runs?wait=true" \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -d '{"input":{"task":"Summarize AI news"}}'

Embed widget

Drop one snippet on any site to get a floating chat-bubble widget in the corner.

<script src="$BASE/embed/your-agent">
</script>

Everything you need to take an agent to production

Build, connect, evaluate, run, schedule, and share — all in one place.

Visual Agent Studio

Orchestration patterns from single agent to multi-agent handoff, loops, and human approval.

Curated library

~2,000 reusable agents across coding, research, finance, ops, design, data, and education.

Connectors

GitHub, Gmail, and Composio's 1,000+ toolkits via OAuth, plus any custom MCP server.

Built-in tools

Web search, browse, fetch, memory, calculator, sequential thinking, and code interpreter.

Evals

Smoke tests ship with every agent and run before publish so you know what works.

Runs & metrics

Trigger runs, watch the event timeline, and track success rate and latency.

Schedules

Run agents on a recurring schedule with notifications when they finish.

Drives

Upload files into searchable collections agents can read as grounded context.

Shareable chat

A focused public chat link recipients can use without ever seeing your workspace.

Embeddable widget

Drop a compact chat widget onto any website with a single snippet.

Run API + MCP

Call agents from code with scoped API keys, or expose them to MCP-aware clients.

Multi-model

OpenAI, Anthropic, Bedrock, Ollama, and OpenRouter — bring your own provider.

Which one are you?

Pick a ready agent, build your own, or operate them at scale.

For everyday teams

Pick a ready agent and run it

Browse a curated library by job
Connect the apps it needs
Share a chat link with your team
Browse the library
For builders

Build from intent, inspect every file

Generate a visual workflow
Tune tools, models, and evals
Ship with API keys and docs
Build from intent
For operators

Keep agents safe and observable

Track runs, failures, and metrics
Control private / workspace / public access
Keep connector tokens scoped
Read the API docs
2k+
curated agent packages
1,000+
Composio-style toolkits
6
files in every package
3
ways to share: chat, API, embed

Build your first useful agent in minutes.

Start with search if you know the job. Start with the studio if you already know the intent.