LangChain4j
RoadmapJVM port of LangChain (1.0 GA May 2025) with 20+ LLM providers, 30+ embedding stores, a…
JVM port of LangChain (1.0 GA May 2025) with 20+ LLM providers, 30+ embedding stores, a guardrails API, and a dedicated langchain4j-agentic module (MCP/A2A patterns). Leading non-Spring JVM agent framework, broad provider/store coverage, formal agentic module in 1.x. SDK adapter for Java/Kotlin backends.
- Category
- Developer frameworks
- Runtime
- JVM (Java / Kotlin)
- Pattern
- SDK / Library
- Adapter package
- io.intramedial:actor-langchain4j
Status
LangChain4j 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 LangChain4j will look like once its adapter is built — they are not runnable today.
Install the adapter
Add io.intramedial:actor-langchain4j 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 LangChain4j 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 LangChain4j today?
The platform-side spine for the SDK / Library pattern is already shipped — what LangChain4j still needs is its own adapter. Customer demand is what moves it up the queue, so tell us you are running it.
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