agents-sdk
- Repo stars 164,300
- Author updated Live
- Author repo opencode
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @anomalyco · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agents-sdk
description: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents…
category: ai
runtime: no special runtime
---
# agents-sdk output preview
## PART A: Task fit
- Use case: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Documentation / Capabilities / FIRST: Verify Installation” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.”.
- **02** When the source has headings, the agent prioritizes “Documentation / Capabilities / FIRST: Verify Installation” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; may access external network resources; usually needs no extra API key.
## Running Rules
- read files, write/modify files; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/agents`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Documentation / Capabilities / FIRST: Verify Installation”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agents-sdk
description: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents…
category: ai
source: anomalyco/opencode
---
# agents-sdk
## When to use
- Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, rea…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Documentation / Capabilities / FIRST: Verify Installation” and keep inference separate from source facts.
- read files, write/modify files; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agents-sdk" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Documentation / Capabilities / FIRST: Verify Installation
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | may access external network resources
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Cloudflare Agents SDK
STOP. Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.
Documentation
Fetch current docs from https://github.com/cloudflare/agents/tree/main/docs before implementing.
| Topic | Doc | Use for |
|---|---|---|
| Getting started | docs/getting-started.md |
First agent, project setup |
| State | docs/state.md |
setState, validateStateChange, persistence |
| Routing | docs/routing.md |
URL patterns, routeAgentRequest, basePath |
| Callable methods | docs/callable-methods.md |
@callable, RPC, streaming, timeouts |
| Scheduling | docs/scheduling.md |
schedule(), scheduleEvery(), cron |
| Workflows | docs/workflows.md |
AgentWorkflow, durable multi-step tasks |
| HTTP/WebSockets | docs/http-websockets.md |
Lifecycle hooks, hibernation |
docs/email.md |
Email routing, secure reply resolver | |
| MCP client | docs/mcp-client.md |
Connecting to MCP servers |
| MCP server | docs/mcp-servers.md |
Building MCP servers with McpAgent |
| Client SDK | docs/client-sdk.md |
useAgent, useAgentChat, React hooks |
| Human-in-the-loop | docs/human-in-the-loop.md |
Approval flows, pausing workflows |
| Resumable streaming | docs/resumable-streaming.md |
Stream recovery on disconnect |
Cloudflare docs: https://developers.cloudflare.com/agents/
Capabilities
The Agents SDK provides:
- Persistent state - SQLite-backed, auto-synced to clients
- Callable RPC -
@callable()methods invoked over WebSocket - Scheduling - One-time, recurring (
scheduleEvery), and cron tasks - Workflows - Durable multi-step background processing via
AgentWorkflow - MCP integration - Connect to MCP servers or build your own with
McpAgent - Email handling - Receive and reply to emails with secure routing
- Streaming chat -
AIChatAgentwith resumable streams - React hooks -
useAgent,useAgentChatfor client apps
FIRST: Verify Installation
npm ls agents # Should show agents package
If not installed:
npm install agents
Wrangler Configuration
{
"durable_objects": {
"bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }],
},
"migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }],
}
Agent Class
import { Agent, routeAgentRequest, callable } from "agents"
type State = { count: number }
export class Counter extends Agent<Env, State> {
initialState = { count: 0 }
// Validation hook - runs before state persists (sync, throwing rejects the update)
validateStateChange(nextState: State, source: Connection | "server") {
if (nextState.count < 0) throw new Error("Count cannot be negative")
}
// Notification hook - runs after state persists (async, non-blocking)
onStateUpdate(state: State, source: Connection | "server") {
console.log("State updated:", state)
}
@callable()
increment() {
this.setState({ count: this.state.count + 1 })
return this.state.count
}
}
export default {
fetch: (req, env) => routeAgentRequest(req, env) ?? new Response("Not found", { status: 404 }),
}
Routing
Requests route to /agents/{agent-name}/{instance-name}:
| Class | URL |
|---|---|
Counter |
/agents/counter/user-123 |
ChatRoom |
/agents/chat-room/lobby |
Client: useAgent({ agent: "Counter", name: "user-123" })
Core APIs
| Task | API |
|---|---|
| Read state | this.state.count |
| Write state | this.setState({ count: 1 }) |
| SQL query | this.sql`SELECT * FROM users WHERE id = ${id}` |
| Schedule (delay) | await this.schedule(60, "task", payload) |
| Schedule (cron) | await this.schedule("0 * * * *", "task", payload) |
| Schedule (interval) | await this.scheduleEvery(30, "poll") |
| RPC method | @callable() myMethod() { ... } |
| Streaming RPC | @callable({ streaming: true }) stream(res) { ... } |
| Start workflow | await this.runWorkflow("ProcessingWorkflow", params) |
React Client
import { useAgent } from "agents/react"
function App() {
const [state, setLocalState] = useState({ count: 0 })
const agent = useAgent({
agent: "Counter",
name: "my-instance",
onStateUpdate: (newState) => setLocalState(newState),
onIdentity: (name, agentType) => console.log(`Connected to ${name}`),
})
return <button onClick={() => agent.setState({ count: state.count + 1 })}>Count: {state.count}</button>
}
References
- references/workflows.md - Durable Workflows integration
- references/callable.md - RPC methods, streaming, timeouts
- references/state-scheduling.md - State persistence, scheduling
- references/streaming-chat.md - AIChatAgent, resumable streams
- references/mcp.md - MCP server integration
- references/email.md - Email routing and handling
- references/codemode.md - Code Mode (experimental)
Decide Fit First
Design Intent
How To Use It
Boundaries And Review