AgentSwarms releases 67 browser-based agent coding notebooks
The AgentSwarms team says it has launched 67 TypeScript-based interactive notebooks. The notebooks cover topics from basic LangChain ideas to complex enterprise multi-agent workflow examples. The post says everything runs in the browser, without Docker, Python virtual environments, or local setup. The author highlights a Failure Mode & Error Handling notebook for cases where tools time out or an LLM returns bad output.
Key points
- AgentSwarms says it now has 67 TypeScript-based notebooks live.
- The notebooks run in the browser and do not need local setup.
- The library includes LangChain, LangGraph, LlamaIndex, AgentsSDK, and VercelAI topics.
- The content ranges from basics to complex multi-agent workflow examples.
- One notebook focuses on Failure Mode & Error Handling for tool timeouts and bad LLM output.
Quick term guide
- TypeScript
- A programming language based on JavaScript that adds type checking.
- multi-agent workflow
- A setup where two or more AI tools each handle different parts of a job and pass results between them
- multi-agent
- A setup where several AI agents each handle a different subtask and work together to complete a larger goal.
- agent workflow
- A set of steps an AI follows automatically to complete a series of tasks in order.
- Virtual environment
- A safe, isolated digital space where code can be run without risking the main system.
- local setup
- A way to run AI on your own computer or home machine instead of a cloud service.
- error handling
- Code that decides what to do when something goes wrong, so the app doesn't just crash silently.
- validation
- Checking whether real people understand, want, or would use an idea before spending more time on it.