“API integration”

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

Java library with one API over LLM providers and vector stores, plus tools, RAG and integrations for Quarkus and Spring Boot.

Ruby AI framework with one API for chat, tools, agents, streaming, embeddings and Rails integration across many providers.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Open-source access layer that connects AI agents to 1200+ integrations with shared auth, permissions and audit logs.

C# framework on .NET for building multi-agent AI bots with plugins, RAG, MCP integration and a built-in admin UI.

Python framework for backtesting and running trading strategies written as Python rules or AI agents, across brokers.

Open-source online code execution system that runs submitted code in a sandbox behind an HTTP JSON API.

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