Agent Orca, a Kubernetes-native platform for managing AI agents
A few days ago, Matthew Fisher, solutions architect at NVIDIA, announced an Open Source project called Agent Orca. It's a platform for deploying, managing, and running AI agents in Kubernetes at scale. It allows you to use K8s resources to "declaratively define agents, route them to the correct LLM, equip them with tools, and execute them as one-off jobs or long-running services with checkpoints, cost tracking, guardrails, and RAG built in."
There's a quick-start manual for giving Agent Orca a try, seven demos, and quite extensive documentation for both developers and operators.
▶️ GitHub repo
Language: Go | License: Apache 2.0 | 61 ⭐️
#news #tools #aiml
A few days ago, Matthew Fisher, solutions architect at NVIDIA, announced an Open Source project called Agent Orca. It's a platform for deploying, managing, and running AI agents in Kubernetes at scale. It allows you to use K8s resources to "declaratively define agents, route them to the correct LLM, equip them with tools, and execute them as one-off jobs or long-running services with checkpoints, cost tracking, guardrails, and RAG built in."
There's a quick-start manual for giving Agent Orca a try, seven demos, and quite extensive documentation for both developers and operators.
▶️ GitHub repo
Language: Go | License: Apache 2.0 | 61 ⭐️
#news #tools #aiml