Tools tagged with "Resumable workflows"

LangGraph is a free, MIT-licensed Python framework for developers building AI agents that need to keep state and handle complex tasks. It gives teams control over how an agent moves between steps, where people can intervene, and what happens when a long-running task is interrupted.

DataTrove is an open-source Python library for teams preparing large text datasets, including LLM training corpora. It runs on your own machine or on Slurm and Ray clusters, with processing steps that carry across those environments. It uses the Apache 2.0 license.

Ludwig is an open-source Python framework for developers and researchers who want to train custom AI models on their own hardware. A YAML file describes the model and training pipeline, while Ludwig handles preprocessing, training and evaluation. It uses the Apache 2.0 license. Install the Python package with the optional LLM dependencies for fine-tuning; current source requires Python 3.12 or later.

Scrapling is a Python web scraping framework for developers collecting website data or giving AI agents access to web pages. Its adaptive parser can find previously selected elements after a site's layout changes, reducing the need to repair extraction rules. It's open source under the BSD-3-Clause license and runs on your own machine or in Docker.

LoopX is a local-first, open-source control plane for people running coding, research or personal AI agents over work that lasts beyond a single session. It keeps goals, decisions and evidence intact when an agent stops, hands off work or resumes elsewhere. Your existing runtime supplies the model and tools; LoopX tracks the work and the decisions that govern its continuation.

Translate Books With LLMs translates entire books, documents and subtitles while retaining their formatting. It's for readers and translators who need to work through long texts with a local LLM or a cloud model. The app runs on Windows, macOS and Linux through a browser interface, and supports self-hosted Docker deployment.

AX is Google's self-hosted AI agent orchestrator for teams running autonomous workloads on a Kubernetes cluster. It uses Agent Substrate to isolate agent execution and manages the workspaces and model settings each task needs. The project is open source under Apache 2.0.

Velocut is a local-first video editor and 3D scene studio for people who want to edit by hand or delegate work to an AI agent. It runs in Chrome or Edge and is open source under the MIT license. Media storage and rendering stay in your browser; AI observations and optional cloud features send relevant data to your chosen model or provider.

NullHub brings NullClaw agents and their supporting tools into one locally hosted browser dashboard. It's for people running the Null ecosystem who want to manage agent instances, workflows and task queues without moving between separate interfaces. The console is open source under the MIT license.

Pi Desktop is an open source desktop workspace for developers who want AI coding agents outside a specific editor or terminal. It keeps projects, sessions, code reviews and previews in a persistent environment on macOS, Windows and Linux. You can connect local models, cloud providers or custom gateways and switch models within a session.

Quicksand gives AI agents a full Linux virtual machine on your own hardware, controlled through an async Python API. It's for developers who need agents to execute code or interact with a desktop inside a separate operating system. Each sandbox has its own kernel and uses QEMU for hypervisor-level isolation.

Rig is a Rust library for developers building AI agents and LLM applications with local or cloud models. Its unified API covers model providers and vector stores, so applications can share the same abstractions across backends. It's open source under MIT.

Reverify is a local verification toolkit for developers and reverse engineers who use AI to analyze binaries or rewrite code. It checks a model's claims against the actual file or executed behavior, then returns a verdict with evidence. The Python project is open source under the MIT license and runs on Linux, Windows and macOS as a CLI or MCP server.

YouDub-webui is a self-hosted video translation and dubbing app for creators and small teams who want to process media on their own hardware. It accepts YouTube and Bilibili links or local video files, then produces translated subtitles, cloned-voice dubbing, or both. English-to-Chinese dubbing for YouTube is its most established workflow; it also supports Chinese-to-English dubbing for Bilibili.

Rivet AgentOS gives AI agents an isolated working environment inside an existing backend process. It's for developers building agent applications who want to run workloads on their own hardware or servers without managing a separate virtual machine for every agent. The runtime uses WebAssembly and V8 isolates and runs on standard Linux infrastructure without nested virtualization.

SWE AF is a self-hosted system that assigns software development work to a team of AI agents. Built on AgentField, it suits developers who want to delegate changes across a repository or several connected codebases, with agents handling planning, coding, review and testing through to a pull request.

SoniTranslate is a local AI video dubbing app for creators and translators who need speech in another language to follow the timing of the original video. Its Gradio browser interface brings transcription, translation and speech generation together, with speaker detection for recordings that contain multiple voices. Local installation is tested on Linux, and it can use an NVIDIA GPU or run in CPU mode.

kodo coordinates installed coding agents so developers can leave a defined task running for hours. It runs locally on macOS, Linux and Windows and is open source under the MIT license. It's aimed at work with a clear goal that can progress without frequent human decisions.

Weft is a language and self-hosted framework for developers building AI workflows that combine models, APIs, databases and human decisions. It runs on a local Kubernetes cluster with Docker and provides a graph editor in VS Code. The runtime coordinates the work, while each model receives the context assigned to its part of the task.

DSH AgentTeams adds coordinated AI agent teams to DeepSeek Harness for coding, research, and review work. A lead agent divides a goal among specialist agents and combines their results. It works within Harness's desktop, CLI, and web interfaces, and stores team state in your workspace. The plugin is open source under the MIT license.

OpenRath is an open-source Python runtime for developers building AI agent workflows that need to preserve the work behind an answer. Its central object is a session, which keeps conversation context, tool results, execution location and validation evidence together. That gives engineering and research teams a record they can inspect, branch, resume and compare.

Chidori is an open-source AI agent framework for developers building long-running workflows that need to survive crashes or wait for human approval. It runs on your own machine or server, with binaries for macOS on Apple Silicon and Intel, and for Linux. The project uses the Apache 2.0 license.

Oh My Subagents coordinates Codex and Claude agent teams through a runtime on your own machine. It's for developers and researchers who need delegated work to survive interruptions and want a clear record of who did what. It supports Linux, macOS 13+ and Windows 11 x64; Codex and Claude providers require authentication.

Exo Agent Framework is a self-hosted framework for developers building long-running AI agents that can revise their own code, tools and prompts. Its exoharness foundation keeps agent history and resources separate from the logic that decides what the agent does next. The project is open source under the MIT license.