Resources for AI Agents

Official Documentation

Anthropic Claude

• Claude API Tool Use Guide: https://docs.anthropic.com/en/docs/build-with-claude/tool-use
• Agent SDK Documentation: https://docs.anthropic.com/en/docs/build-with-claude/agent-sdk
• Claude Code Documentation: https://docs.anthropic.com/en/docs/claude-code
• Python SDK: https://github.com/anthropics/anthropic-sdk-python
• TypeScript SDK: https://github.com/anthropics/anthropic-sdk-node
• Anthropic Cookbook: https://github.com/anthropics/anthropic-cookbook

Model Context Protocol (MCP)

• MCP Specification: https://modelcontextprotocol.io/
• MCP Server Registry: https://github.com/modelcontextprotocol/servers
• Building MCP Servers: https://modelcontextprotocol.io/docs/concepts/servers

OpenAI

• Codex CLI (open-source): https://github.com/openai/codex
• Function Calling Guide: https://platform.openai.com/docs/guides/function-calling
• Agents Guide: https://platform.openai.com/docs/guides/agents

LangChain

• Agents Documentation: https://python.langchain.com/docs/how_to/#agents
• LangGraph (workflow orchestration): https://github.com/langchain-ai/langgraph
• LangSmith (observability): https://docs.smith.langchain.com/

Agent Tools and Platforms

Tool	Type	Best For	Link
Claude Code	Terminal agent	Software development, refactoring, debugging	docs
OpenAI Codex CLI	Terminal agent	Open-source coding agent with OpenAI models	github
Aider	Terminal agent	Open-source pair programming, multi-model	github
Cursor	IDE agent	VS Code fork with deep AI integration	cursor.com
Windsurf	IDE agent	Cascade multi-step agent in IDE	windsurf.com
Continue.dev	IDE extension	Free, open-source, multi-model	github
LangGraph	Framework	Complex state-machine workflows	github
CrewAI	Framework	Role-based multi-agent teams	github
AutoGen	Framework	Multi-agent conversations	github

Research Papers

Foundational Papers

1. ReAct: Synergizing Reasoning and Acting in Language Models (2023)

   • Authors: Yao et al.
   • arXiv: https://arxiv.org/abs/2210.03629
   • Key contribution: Interleaving reasoning and action in agents

2. Toolformer: Language Models Can Teach Themselves to Use Tools (2023)

   • Authors: Schick et al.
   • arXiv: https://arxiv.org/abs/2302.04761
   • Key contribution: Self-supervised tool learning

3. Generative Agents: Interactive Simulacra of Human Behavior (2023)

   • Authors: Park et al.
   • arXiv: https://arxiv.org/abs/2304.03442
   • Key contribution: Agent memory architectures

Recent Advances (2025-2026)

4. Model Context Protocol (2024-2025)

   • Specification: https://modelcontextprotocol.io/
   • Key contribution: Standardised tool integration protocol adopted across the industry

5. Multi-Agent Coordination in Production Systems (2025)

   • Focus: Patterns for orchestrating multiple AI agents in production

6. Agent Safety and Alignment (2025-2026)

   • Focus: Guardrails, cost control, and safe autonomous execution

Code Examples and Tutorials

Getting Started

1. Anthropic Tool Use Cookbook

   • https://github.com/anthropics/anthropic-cookbook/tree/main/tool_use
   • Official examples for building tool-using agents

2. Claude Code Getting Started

   • https://docs.anthropic.com/en/docs/claude-code/getting-started
   • Installation, configuration, and first workflows

3. MCP Quickstart

   • https://modelcontextprotocol.io/quickstart
   • Build your first MCP server in 15 minutes

Intermediate

4. Building Agents with the Anthropic SDK

   • https://docs.anthropic.com/en/docs/build-with-claude/agent-sdk
   • Production patterns for custom agents

5. Claude Code Hooks and Workflows

   • https://docs.anthropic.com/en/docs/claude-code/hooks
   • Automate agent behaviour with lifecycle hooks

6. LangGraph Tutorials

   • https://github.com/langchain-ai/langgraph/tree/main/docs/docs/tutorials
   • Graph-based agent workflows

Advanced

7. Multi-Agent Systems with CrewAI

   • https://github.com/crewAIInc/crewAI-examples
   • Complex multi-agent scenarios

8. Claude Code Subagents

   • https://docs.anthropic.com/en/docs/claude-code/sub-agents
   • Delegating tasks to focused child agents

Development Setup

Essential Packages (Python)

# Core
pip install anthropic

# For LangChain-based agents
pip install langchain langchain-anthropic langchain-community

# Vector stores for memory
pip install chromadb

# Search tools
pip install duckduckgo-search

# Utilities
pip install python-dotenv pydantic tenacity

Essential Packages (Node/TypeScript)

# Core
npm install @anthropic-ai/sdk

# Claude Code (global)
npm install -g @anthropic-ai/claude-code

# MCP servers
npx @modelcontextprotocol/server-filesystem /path
npx @modelcontextprotocol/server-github

Observability and Debugging

Tool	Purpose	Link
LangSmith	Agent tracing and debugging	https://docs.smith.langchain.com/
Helicone	LLM observability and cost tracking	https://www.helicone.ai/
Braintrust	Evaluation and monitoring	https://www.braintrust.dev/

Code Execution Sandboxes

Tool	Purpose	Link
E2B	Cloud sandboxes for agent code execution	https://e2b.dev/
Modal	Serverless code execution	https://modal.com/

Community

Official Channels

• Anthropic Discord: https://discord.gg/anthropic
• OpenAI Developer Forum: https://community.openai.com/
• LangChain Discord: https://discord.gg/langchain

Newsletters and Blogs

• Anthropic Research Blog: https://www.anthropic.com/research
• LangChain Blog: https://blog.langchain.dev/
• The Batch (Andrew Ng): https://www.deeplearning.ai/the-batch/

Safety and Best Practices

Safety Guidelines

1. Input validation: Always validate tool parameters before execution
2. Sandboxing: Execute untrusted code in isolated environments (E2B, Docker)
3. Rate limiting: Cap iterations and token usage to prevent runaway agents
4. Human-in-the-loop: Require approval for destructive or irreversible actions
5. Audit logging: Log every tool call with timestamps, inputs, and outputs
6. Timeout controls: Set maximum execution time per agent task
7. Cost caps: Monitor and limit API spending per task and per day

Model Selection Guide

Task Type	Recommended Model	Reasoning
Complex analysis	Opus 4.8	Highest reasoning quality
General agent work	Sonnet 4.6	Best balance of quality, speed, cost
Simple tool routing	Haiku 4.5	Fastest and cheapest
Subagent subtasks	Haiku 4.5 or Sonnet 4.6	Cost-effective at scale

Check the Anthropic pricing page for current rates.

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