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
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 🦀
Zero-cost, crash-proof LLM pipeline orchestrator. Features disk-based checkpointing, free-tier routing, and structured output. (LangGraph / CrewAI alternative)
A Python package for checkpointing, saving, and loading objects.
Checkpoint and rewind Claude Code runs with repo and context recovery.
A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.
Recoverable long-horizon AI agents — a framework-agnostic reference harness + recovery-faithful live benchmark. Thesis: "Checkpoints Are Compactions" via Re-grounding Recovery. 0.x: v1.0 held until a powered live-LLM study confirms the claims.
Minimal PyTorch training framework — implement three methods, get a full training loop with checkpointing, early stopping, metrics, and a live web dashboard.
Perkunas AI Training Platform is a memory-aware model training and serving system for serious language model experimentation under tight hardware limits. It combines streaming training, rich telemetry, guarded recovery, checkpoint export, and OpenAI-compatible serving.
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