Find. Install. Use.

Agents for Allfind, install, use.

Why should tech bros have all the fun agents?

Find an agent for the job you actually do. Install it without becoming a prompt engineer. Use it as a chat, API, or website helper when real work shows up.

Agents by profession One-click install Chat, API, and embed
Baker using an AI agent
Contractor using an AI agent
Clinic Nurse using an AI agent
Teacher using an AI agent
Mechanic using an AI agent
Loan Officer using an AI agent
Agent for a Baker
Prep list, supplier check, weekend staffing.
"What do I need ready before Saturday rush?"
Built for real jobs

The agent store for people who do not want to become AI engineers.

Search like a normal person: "help my bakery prep for weekends," "summarize borrower docs," or "write a customer repair explanation." Agents for All turns that into something you can install and use.

Find
Search by profession, task, or app.
Install
See the workflow and connect only what it needs.
Use
Chat with it, share it, embed it, or call the API.
What you can do

Share it, embed it, or turn your know-how into a helper.

These are the product moments: create from intent, connect the needed apps or files, then use the agent where a real person needs it.

Add a helpful agent to a shop website
Send an agent to someone who needs help
Turn practical knowledge into a reusable expert
Use one agent wherever the work happens
Website embedEmbed on any site

Add a helpful agent to a shop website

A shopkeeper can paste one snippet and give customers a simple FAQ helper for hours, returns, repairs, appointments, and policies.

One snippet creates a customer-facing chat bubble.
Use withGitHubGmailSlackNotionGoogle DriveLinearJiraComposio (1,000+)
How it works

Find, install, use. That is the whole loop.

1

Find

Search by job, task, app, or plain English. Start from the closest ready-made agent.

2

Install

Connect the apps it needs, review the simple workflow, and install a real package.

3

Use

Chat with it, share a link, embed it on a site, or call it through an API.

Agent Studio

Say what you need. See the agent before you use it.

Type a plain-English task like 'help me sort borrower docs' or 'turn today's customer emails into follow-ups.' The studio drafts the workflow, suggests the apps it needs, and creates a real package you can inspect.

Plain-language intent first
Recommended apps highlighted before install
Workflow is visible before anything runs
Build from intent
Say what you need. See the agent before you use it.
Agent Library

Find agents by the job you actually do

Search for baker, teacher, mechanic, nurse, loan officer, contractor, marketer, ops lead, or the exact task in your head. The library is curated so you are not digging through thousands of half-baked prompts.

Search by profession or task
Install the agent package in one click
Download the files if you want to own it
Search the library
Find agents by the job you actually do
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.

AFWeb 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>

Powerful enough for builders. Friendly enough for everyone else.

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

No agent degree required

Search like you search the web
Install without reading a developer manual
Share a chat link with anyone
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.