Spring AI
RoadmapSpring's official JVM framework for AI integration (1.0 GA May 2025;
Spring's official JVM framework for AI integration (1.0 GA May 2025; 2.0-M2 on Spring Boot 4 in 2026) with Advisors API, structured output, tools and agentic patterns for Spring Boot apps. The default AI/agent path for the enormous Spring Boot enterprise base; 1.0 GA and active 2.0 line. Brings agentic compliance to the JVM/enterprise tier. SDK ad
- Category
- Developer frameworks
- Runtime
- JVM (Java / Kotlin)
- Pattern
- SDK / Library
- Adapter package
- io.intramedial:actor-spring-ai
Status
Spring AI is Roadmap.
On the integration roadmap. The platform-side spine for this framework's pattern is already shipped — what remains is the per-framework adapter. Selecting it in the dashboard opens the notification opt-in rather than creating an actor.
How it will attach
SDK / Library.
The platform side of this pattern is already shipped and in use by other frameworks in the catalogue. The steps below are what attaching Spring AI will look like once its adapter is built — they are not runnable today.
Install the adapter
Add io.intramedial:actor-spring-ai to your project.
Issue a workspace API key
Generate a key in the dashboard under Settings → API Keys, scoped to the workspace and environment this agent's data should land in.
Record each run
Construct the adapter once with your token and workspace id where you initialise your Spring AI agent, then call recordRun(run) when a run finishes. The adapter maps the run to signed receipts and, by default, captures a failed attestation instead of crashing your agent.
Verify
Trigger one agent run. The Witness page shows the record once the agent has emitted it.
What gets recorded
Coverage is not enumerated yet.
The registry does not yet enumerate which agent-runtime events this adapter captures. That list is filled in as the integration matures, and it is deliberately left empty rather than guessed at — an unverified coverage claim on a compliance product is worse than no claim.
Same category
Others in Developer frameworks.
The reference library for building agent applications.
- CrewAIBeta
Multi-agent crew orchestration.
- AutoGen / AG2Beta
Microsoft's multi-agent conversation framework.
OpenAI's native agent framework.
- Claude Agent SDKBeta
Anthropic's native agent SDK.
- Vercel AI SDKBeta
TypeScript-first toolkit for agentic applications.
Running agents on Spring AI today?
The platform-side spine for the SDK / Library pattern is already shipped — what Spring AI still needs is its own adapter. Customer demand is what moves it up the queue, so tell us you are running it.
Agents act when the plane says yes, and the record says why.
Put admission in front of your MCP servers, repositories, SaaS tools and cloud accounts. Every agent gets a lease or a reason – and you keep the lever to stop any of them.
