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GLOBAL RESEARCH COMMONS · HUMAN + AGENT READABLE

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CATALOG DOMAIN

AI Agents & Automation

92 cards

Agent frameworks, coding agents, MCP tooling and prompt engineering.

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Model Migration Guide

How to move existing code to newer Claude models. Covers breaking changes, deprecated parameters, and drop-in replacements for retired models. Use it as a repeatable review, validation or hardening pass.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#model#sonnet
#ai-agents · by Collider.club
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Managed Agents — Webhooks

Anthropic can POST to your HTTPS endpoint when a Managed Agents resource changes state — an alternative to holding an SSE stream or polling. Payloads are thin (event type + resource IDs only); on receipt, fetch the resource for current state. Every delivery is HMAC-signed. Use it to give an agent explicit responsibilities, steps and constraints.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#managed#agents
#ai-agents · by Collider.club
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Managed Agents — Tools & Skills

Override defaults for individual tools. This example enables everything except bash:. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#tools#skills
#ai-agents · by Collider.club
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Managed Agents — Self-Hosted Sandboxes

With config.type: "self hosted", the agent loop stays on Anthropic's orchestration layer but tool execution moves to infrastructure you control — bash, file ops, and code run inside your container, so filesystem contents and network egress never leave your environment. Use it as a repeatable review, validation or hardening pass.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#run#managed
#ai-agents · by Collider.club
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Managed Agents — Scheduled Deployments

A scheduled deployment runs an agent on a recurring cron schedule — each firing creates a session autonomously. Use it for predictable-cadence work: nightly triage, weekly compliance scans, hourly monitors. Use it as a repeatable review, validation or hardening pass.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#scheduled#deployment
#ai-agents · by Collider.club
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Managed Agents — Overview

Managed Agents provisions a container per session as the agent's workspace. The agent loop runs on Anthropic's orchestration layer; the container is where the agent's tools execute — bash commands, file operations, code. You create a persisted Agent config (model, system pr. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#agent#managed
#ai-agents · by Collider.club
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Managed Agents — Outcomes

An outcome elevates a session from conversation to work : you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits max iterations, or is interrupted. A separate grader (independent context windo. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#managed#agents
#ai-agents · by Collider.club
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Managed Agents — Onboarding Flow

Claude Managed Agents is a hosted agent: Anthropic runs the agent loop and provisions a sandboxed container per session where the agent's tools execute (or your own worker, with a self hosted environment — see shared/managed-agents-self-hosted-sandboxes.md). You supply an a. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#agent#managed
#ai-agents · by Collider.club
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Managed Agents — Multiagent Sessions

A coordinator agent can delegate to other agents within one session. All agents share the container and filesystem ; each runs in its own thread — a context-isolated event stream with its own conversation history, model, system prompt, tools, MCP servers, and skills (from. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#agents#multiagent
#ai-agents · by Collider.club
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Managed Agents — Memory Stores

Sessions are ephemeral by default — when one ends, anything the agent learned is gone. A memory store is a workspace-scoped collection of small text documents that persists across sessions. When a store is attached to a session (via resources[]), it is mounted into the cont. Use it as a repeatable review, validation or hardening pass.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#memory#store
#ai-agents · by Collider.club
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Managed Agents — Events & Steering

Send events to a session via POST /v1/sessions/{id}/events. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#events#steering
#ai-agents · by Collider.club
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Managed Agents — Environments & Resources

Creating a session requires an environment id. Environments are reusable configuration templates for spinning up containers in Anthropic's infrastructure — you might create different environments for different use cases (e.g. data visualization vs web development, with diff. Use it to give an agent explicit responsibilities, steps and constraints.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#environments#resources
#ai-agents · by Collider.club
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Managed Agents — Core Concepts

Every session has a live trace view in the Anthropic Console at https://platform.claude.com/workspaces/{workspace}/sessions/{session id}. Print this URL immediately after creating a session so the user can watch tool calls and messages stream in real time. {workspace} is th. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#session#agent
#ai-agents · by Collider.club
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Managed Agents — Common Client Patterns

Patterns you'll write on the client side when driving a Managed Agent session, grounded in working SDK examples. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#managed#client
#ai-agents · by Collider.club
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Managed Agents — Endpoint Reference

All endpoints require x-api-key and anthropic-version: 2023-06-01 headers. Managed Agents endpoints additionally require the anthropic-beta header. Use it to give an agent explicit responsibilities, steps and constraints.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#agents#reference
#ai-agents · by Collider.club
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Live Documentation Sources

This file contains WebFetch URLs for fetching current information from platform.claude.com and Agent SDK repositories. Use these when users need the latest data that may have changed since the cached content was last updated. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#documentation#live
#ai-agents · by Collider.club
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HTTP Error Codes Reference

This file documents HTTP error codes returned by the Claude API, their common causes, and how to handle them. For language-specific error handling examples, see the python/ or typescript/ folders. Use it to give an agent explicit responsibilities, steps and constraints.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#error#http
#ai-agents · by Collider.club
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Anthropic CLI (ant)

The ant CLI exposes every Claude API resource as a shell subcommand. Compared to curl: request bodies are built from typed flags or piped YAML instead of hand-written JSON, @path inlines file contents into any string field, --transform extracts fields with a GJSON path (n. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#cli#ant
#ai-agents · by Collider.club
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Agent Design Patterns

This file covers decision heuristics for building agents on the Claude API: which primitives to reach for, how to design your tool surface, and how to manage context and cost over long runs. For per-tool mechanics and code examples, see tool-use-concepts.md and the language-spe. Use it as a repeatable review, validation or hardening pass.

ai-agents/agent-design-and-orchestrationguide#ai-agent-systems#agent-design-and-orchestration#tool#design
#ai-agents · by Collider.club
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Managed Agents — Python

List files the agent wrote to /mnt/session/outputs/ during a session, then. Use it to ground design choices in named patterns, trade-offs and examples.

ai-agents/agent-design-and-orchestrationreference#ai-agent-systems#agent-design-and-orchestration#session#custom
#ai-agents · by Collider.club
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