checkpointing

A framework-agnostic checkpointing tool that helps AI agents resume work after context loss or session death. It saves goals, constraints, decisions, touched files, and token usage, then rebuilds a structured resume prompt for continuation.

A Java framework for building stateful multi-agent workflows on top of Spring AI, with graphs, routing, retries, checkpoints, and shared state.

Open-source resilience and debugging proxy for autonomous AI agents. It checkpoints LLM and tool calls, supports cache recovery, human-in-the-loop approval, multi-model fallback, and exports trajectories for fine-tuning.