Framework-agnostic Java observability sidecar agent: chat with a live JVM via MCP/web UI (metrics, slow calls, errors, logs, thread dumps, method traces). Self-hosted, attachable (Arthas-style). Apach
View on GitHub ↗A framework-agnostic Java observability sidecar agent — drop a single -javaagent jar onto any Java (Servlet) service, then chat with it (via a built-in web UI, an MCP client like Claude Code, or curl) to understand the service's live state: request volume, latency, slow calls, errors, logs, thread dumps, method-level traces.
It's the thing between Arthas (in-JVM diagnostics, no AI/aggregation) and SkyWalking (APM with distributed traces, no conversational agent) — plus the Datadog Bits AI pattern (chat-with-your-service), but self-hosted and attachable to a single JVM.
Built and validated end-to-end on a real Spring Boot service (the interview-guide project): attach → chat → "which route is slowest?" → agent calls its tools → answers with real metrics, then tracerequest to pin the slow method in the call tree.
Attach the agent to a running Java service (no restart needed — dynamic attach like Arthas). The agent runs inside the target JVM:
- Captures per-route request metrics (count, p50/p95/p99, error rate), slow calls, errors — into in-JVM ring buffers (zero external storage). - Captures recent logs (Logback appender) + thread snapshots (JMX). - Exposes a MCP server (JSON-RPC over HTTP) — any MCP client (Claude Code, Cursor) can chat with the service. - Exposes a built-in chat web UI (/chat) — an OpenAI-compatible LLM (BYO API key) orchestrates the tools to answer your questions in natural language. - On-demand method-level diagnostics: watchmethod (capture a method's invocations) and tracerequest (full method call-tree, Arthas-trace style). - Leaves a Source SPI seam
From the project README.
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