Sources & Further Reading
iSources checked: September 2026
The content of this module was researched in May 2026; all source links were checked for availability in September 2026 and updated where needed. As the AI landscape evolves quickly, some details may have changed since then.
Sources
-
LangChain (2024). LangGraph – Documentation. https://langchain-ai.github.io/langgraph/
-
CrewAI (2024). CrewAI Documentation. https://docs.crewai.com/
-
Mastra (2025). Mastra Documentation – Agent Framework for TypeScript. https://mastra.ai/docs
-
Anthropic (2025). Building Effective Agents. https://www.anthropic.com/engineering/building-effective-agents
-
Anthropic (2025). Claude Code – Sub-agents Documentation. https://code.claude.com/docs/en/sub-agents
-
Wu, Q. et al. (2023). AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation. arXiv:2308.08155. https://arxiv.org/abs/2308.08155
Further Reading
Frameworks & Tools
- awesome-ai-agents (GitHub): Curated list of AI agent projects and frameworks. https://github.com/e2b-dev/awesome-ai-agents
- LangChain Academy: Free courses on LangGraph and multi-agent systems. https://academy.langchain.com/
Deep Dives
- Anthropic – Multi-Agent Systems Research: Research on agent coordination and safety. https://www.anthropic.com/research
- OpenAI – Agents SDK: OpenAI's framework for multi-agent orchestration. https://github.com/openai/openai-agents-python