Real integrations.
Real setup detail.

The most popular LLM framework. Inject AgentID identity through the SDK into chains, agents, tools, and orchestrators.

Multi-agent orchestration for role-based teams. AgentID gives each crew member a durable identity instead of ad hoc prompts.

The original autonomous agent framework. Use AgentID as the source of truth for personality, rules, and reusable context.

Data framework for LLMs. Pull AgentID context directly into your RAG pipelines so retrieval and behavior stay aligned.

Type-safe Python agent framework. AgentID works as a clean runtime identity layer that you can fetch before each run.

Agent framework with memory primitives. Combine it with AgentID to centralize persona, shared rules, and long-lived context.

TypeScript-first agent framework. AgentID makes it easy to share one identity across local dev, staging, and production agents.

Build AI apps with Next.js and React. Load AgentID system context at runtime so every deployment uses the same canonical identity.

Direct OpenAI API access. Fetch AgentID context at startup and pass it as the system layer in each call.

Official Anthropic client. AgentID lets you inject a persistent identity into every messages.create request.

Gemini's official SDK. Use AgentID exported context as the system instruction for consistent behavior across sessions.

Open-source models and inference endpoints. AgentID prompt export works with any compatible hosted or local model.

Any Python-based agent. Fetch your identity from AgentID at startup so every runtime begins with the same context.

Any Node or TypeScript agent. Import AgentID context once and keep behavior aligned across all custom services.

Run models locally and still keep one shared identity layer. AgentID works through prompt export or SDK-driven startup context.