Production AI is scary. What if it fails?
Agent Runtimes handles it:
• Automatic retries when tools fail
• Health monitoring you can query
• Graceful degradation
⭐ github.com/datalayer/ag...
📝 datalayer.blog/2026/01/13/a...
Production AI is scary. What if it fails?
Agent Runtimes handles it:
• Automatic retries when tools fail
• Health monitoring you can query
• Graceful degradation
⭐ github.com/datalayer/ag...
📝 datalayer.blog/2026/01/13/a...
Locked into one AI provider? Not anymore.
Switch between OpenAI, Anthropic, Azure, or Bedrock without changing your code. Pick the best model for each task.
Your agents. Your choice.
Locked into one AI provider? Not anymore.
Switch between OpenAI, Anthropic, Azure, or Bedrock without changing your code. Pick the best model for each task.
Your agents. Your choice.
Your agents can now:
• Search the web for current info (not just training data)
• Research people & companies on LinkedIn
• Read and write files
• Call any API
One config file. That's it.
Your agents can now:
• Search the web for current info (not just training data)
• Research people & companies on LinkedIn
• Read and write files
• Call any API
One config file. That's it.
Our first user is the Jupyter AI Agents extension — bringing intelligent agents directly into JupyterLab notebooks.
But Agent Runtimes is a general-purpose framework. Use it in web apps, CLI tools, or anywhere you need AI that takes action.
Our first user is the Jupyter AI Agents extension — bringing intelligent agents directly into JupyterLab notebooks.
But Agent Runtimes is a general-purpose framework. Use it in web apps, CLI tools, or anywhere you need AI that takes action.
- frontend engineers → data & kernels
- data engineers → real React UIs
- frontend engineers → data & kernels
- data engineers → real React UIs