agentsight vs LangSmith
System-level observability for AI agents via eBPF and TLS tracing: correlates prompts and model calls with the processes, files and network the agent actually touched — no SDK, no proxy. — versus — Trace, test and monitor LLM apps in production.
AgentSight's own framing: LangSmith is right when you own the application code and want traces, prompts and evals; AgentSight is for the layer below — a closed agent CLI whose real effects (processes, files, network) only show up at the system boundary.
| agentsight | LangSmith | |
|---|---|---|
| Stars | 671 | 0 |
| Forks | 101 | — |
| Language | C | TypeScript |
| License | MIT | Proprietary |
| Last activity | today | 1 week ago |
| Topics | security, coding, local | evals |
| Curated connections | 5 | 5 |
agentsight — the curator's take
Use it when the agent is a closed CLI (Claude Code, Codex, Gemini CLI, OpenClaw) and its own logs don't explain a failure: AgentSight watches at the kernel boundary, so it sees the model traffic *and* every exec, file write and outbound connection, and ties them together. That's the layer LangSmith-class tools can't reach without owning the app code. NOT for prompt/eval-level tracing of an app you wrote (use an OTLP tracer), and it's Linux-with-eBPF: on macOS you're out of luck. Not an enforcement tool — it observes and advises, it doesn't block.
LangSmith — the curator's take
Trace, test and monitor LLM apps in production.