Capsule

What it does

AI agents are powerful, but debugging them is often harder than fixing them. When an agent fails, engineers spend hours digging through logs, prompts, and tool outputs trying to understand what happened. Capsule is the flight recorder for AI agents—recording prompts, tool calls, memory, and execution state into a replayable artifact so teams can replay failures, identify root causes faster, and build more reliable AI systems.

Capture, replay, and debug every AI agent execution. Time-travel through any session.

Capsule captures every LLM call, tool use, and state change your AI agent makes — and packages it into a portable .capsule file you can replay, branch, and share. Capsule turns a non-deterministic black box into something you can rewind, inspect, and reproduce on demand. One decorator wraps your agent. Every LLM call, tool use, and memory write is recorded — zero code changes. @capsule.trace def agent(input): ... 02 Replay Re-run any failure deterministically from stored cassettes — no live API calls, bit-exact output. $ capsule-trace replay \ sess_8f2a 03 Branch Fork at any step. Swap a prompt, model, or tool response and run the alternative live. $ capsule-trace branch \ --from-step 5 04…from capsule-five-delta.vercel.app

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