“Kubernetes”

Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.

Python framework for LLM agents that run as durable Dapr workflows, with retries, Kubernetes deployment and human-in-the-loop hooks.

Reinforcement-learning trainer of about 3,500 lines that trains models behind agents run in their own harnesses, locally or as Kubernetes jobs.

Java framework for distributed, long-running agents with typed event streams, permission gating, middleware and subagents.

Open-source Python framework from deepset for modular pipelines and agent workflows covering retrieval, tool use and generation.

Python and TypeScript SDK and REST Agent Server for building agents that work with code in local or containerized workspaces.

Python framework for real-time voice and vision agents that process video with pluggable models and processors over WebRTC.

Python runtime for agent apps with tool sandboxing and streaming agent APIs; archived, with features moved to AgentScope 2.0.