Checkpointing Python Packages

sayiir

Durable workflow engine with Rust core and Python bindings — checkpointing, fork/join, distributed workers

torchgpipe

A GPipe implementation in PyTorch

agent-recall-ai

Structured session checkpointing for AI agents — survive context limits, cost overruns, and session death

saveable-objects

A python package for checkpointing, saving, and loading objects.

dagpipe-core

Zero-cost, crash-proof LLM pipeline orchestrator. Features disk-based checkpointing, free-tier routing, and structured output. (LangGraph / CrewAI alternative)

checkpnt

Crash recovery and persistent state for AI agents. Drop-in LangGraph checkpointer backed by SQLite or Redis.

dlio-benchmark

An I/O benchmark for deep Learning applications

hyperphoenixcv

Hyper-parameter search that rises from the ashes of interrupted experiments.

thread-chunks

A python package for performing memory intensive computations in parallel using chunks and checkpointing.

keras-buoy

Keras wrapper that autosaves what ModelCheckpoint cannot.

agentstateprotocol

Open-source checkpoint protocol for regulated AI. Replay, audit, branch, and recover every AI decision with full reasoning traceability.

wandb-preempt

Code and tutorial on integrating wandb sweeps with Slurm pre-emption