The agent framework where every run is durable, replayable, and resumable by default.
A GPipe implementation in PyTorch
An I/O benchmark for deep Learning applications
Sayiir: simple, embeddable durable workflow engine in Rust with Node.js & Python bindings. Checkpoint-based recovery, no deterministic replay. A simplified alternative to Temporal, Restate, and Airflow.
Very-Low Overhead Checkpointing System
Extending DOLFINx with checkpointing functionality
Keras wrapper that autosaves what ModelCheckpoint cannot.
Execution runtime for intelligent agents with event-sourced, recoverable task orchestration.
Git-like branching, checkpointing, and comparison for AI agent execution paths. pip install agentgit
Weavegraph rust graph/agent/node
A platform for running sandboxed containers
Run Codex and Claude Code reliably in the background on macOS—with a native dashboard, persistent tmux sessions, local checkpoints, recovery, notifications, and closed-lid support.
An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop.
[WIP] Debug TypeScript/JavaScript via TUI. Checkpoint functions, edit state, skip execution. Written in Rust 🦀
A Python package for checkpointing, saving, and loading objects.
Checkpoint and rewind Claude Code runs with repo and context recovery.
Minimal PyTorch training framework — implement three methods, get a full training loop: composable phases, checkpointing, early stopping, metrics, and a live web dashboard.
A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.
Zero-cost, crash-proof LLM pipeline orchestrator. Features disk-based checkpointing, free-tier routing, and structured output. (LangGraph / CrewAI alternative)
Add a description, image, and links to the checkpointing topic page so that developers can more easily learn about it.
To associate your repository with the checkpointing topic, visit your repo's landing page and select "manage topics."