Tools tagged with "Multi-agent workflows"

PocketPaw is a self-hosted AI agent for people who want an assistant to write code, manage files and act on websites from their own computer or server.

Weft is a language and framework for developers who want to run AI workflow orchestration on their own machine. Its runtime requires Docker, and its graph editor works in VS Code and compatible forks. Self-hosting the workflow doesn't make its model calls local: the included WhatsApp support bot uses OpenRouter for inference.

Cezar manages AI coding agents on your computer or your own server. It's for developers coordinating work across repositories who want to review tasks, agent activity and code changes in one browser interface.

KanDev is a self-hosted workspace for developers managing AI coding tasks and reviewing the resulting changes. It organizes work on kanban boards and lets you define workflows with your own agent choices and review gates.

Lexora is a personal desktop AI agent for research, creative projects and everyday planning as well as coding. It works toward a goal while you give direction and review its work.

DSH AgentTeams coordinates AI agents inside DeepSeek Harness for coding, research and review tasks. A lead agent assigns work to specialists and combines their results, while you can review the proposed team before execution.

PYTHIA monitors world events and generates forecasts for people tracking global risks and developers building AI agents that need current-world context. It combines Osiris's globe and live feeds with MiroFish's forecasting approach and local Ollama models.

Gauntlet Loop is an AI agent skill for people who want generated websites, writing or software judged against a specific example. It writes a prompt that asks an agent to build, compare and revise work against a reference you choose.

AgentRQ lets people assign work to AI agents, follow their progress and answer requests for decisions from a browser, phone or desktop app. Agents run on computers you own; the task dashboard can run on your server or the hosted service.

Ringer coordinates parallel AI coding agents on your machine. It's for developers who want to divide implementation work among workers and judge the results with executable checks.

RAGFlow helps teams build AI agents that answer questions using their own documents. It extracts content from complex files and retrieves supporting material that readers can check.

Skyvern automates browser tasks for teams handling forms, vendor portals and repeated data collection. It uses vision models to identify page elements, helping workflows adapt when website layouts change.

NVIDIA Object Oriented Agents (NOOA) is a Python framework for developers building AI agents in their own projects. It supports local models through Ollama and vLLM via LiteLLM, with Qwen3 examples for both backends. It also supports Anthropic and OpenAI models, which send requests to those remote providers.

CodeFuse ChatBot is a self-hosted AI assistant for developers and DevOps teams who want answers grounded in their own code repositories and documentation. It combines repository analysis with agents that can use tools and execute code in a sandbox, covering work across design, coding, testing, deployment and operations.

SpecShip is a workflow extension for Kiro that coordinates AI agents through planning, implementation, review and pull request preparation. It's for developers who want agent work checked against written requirements and tests.

XAgent is an experimental self-hosted AI agent for multi-step coding, research and data-analysis tasks. It plans subtasks, revises plans as work progresses and dispatches actions to agents. A command-line interface and browser UI let you guide a run or provide missing information.

MindFS is a self-hosted browser gateway to AI agents and project files on your workstation, for people who want to continue coding from another computer or phone. It requires an installed agent CLI and includes no AI model. With Claude Code's standard cloud connection, execution happens on your host while prompts and model context go to its remote provider. The installed agent handles model access; MindFS hosts browser access to its work.

RemiAI is a self-hosted AI assistant for people who want chat to work with their files and remember context between conversations. It can act on permitted folders and delegate longer tasks to specialized agents.

AIlice is an open source AI agent that runs on your own machine and handles tasks spanning research, software development and system administration. It's for people who want an assistant that can act on files, browse the web and execute code. Its Interactive Agents Call Tree architecture splits complex requests among agents created for the task, then combines their results.

Ralphy runs coding task lists on your machine, coordinating an existing AI coding CLI for developers who want work to continue across multiple tasks. It defaults to Claude Code, whose standard cloud connection sends prompts and model outputs to a remote provider. Repository edits and task tracking happen locally.

Hive coordinates AI agents for teams processing batches of leads, tickets, repositories or documents. A persistent lead agent, called a queen, develops a method on one item before assigning parallel workers, with human approval before the group starts.

Tinybot is a desktop AI agent for people who want an assistant to work with their files and project folders. Workspaces keep related conversations together, and execution records let you inspect what the agent did and what it produced.

Pydantic AI is a Python SDK for developers building agents into their applications. It uses Pydantic validation to give application code structured results and check the arguments agents pass to tools.

LLMKube manages self-hosted LLM inference for teams and homelab owners who need several machines to serve models together. It brings Linux GPU servers and Apple Silicon Macs into the same Kubernetes-managed fleet.

OpenEnsemble is a self-hosted AI assistant platform for people who want shared access on their own server, with a separate workspace for each user. Linux is the main installation target; macOS supports local development with different feature support. You can choose a single assistant or an ensemble of specialist agents using different models. It's open source under AGPL-3.0.

Codex CLI is a terminal coding assistant that works in your local repository on macOS, Windows and Linux. Developers can use it with models running locally through Ollama, including gpt-oss:120b, or connect to OpenAI through a paid ChatGPT account or API key. With OpenAI access, model requests go to the remote service even though file edits and commands run on your computer.

n8n is a workflow automation platform for technical teams connecting AI agents to business processes and their own data. Its visual editor lets you inspect individual steps and add code where a workflow needs custom behavior.

Swarm Fleet manages multiple terminal AI agents on your machine for developers coordinating coding, review and ticket work. Each agent has its own terminal, with shared controls for supervising their work.

Langroid is a Python framework for developers building applications where AI agents divide up a task. Each agent can maintain its own conversation and use documents or tools, then delegate work to other agents.

Tandem Browser is a desktop browser for people who want AI agents to carry out web tasks alongside them. You and the agent work in the same logged-in session, so you can watch its actions and step in when needed.

Inspect AI is a Python framework for researchers and developers evaluating language models and AI agents. It measures coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

BrainSoup is a desktop AI agent app for people who want to automate tasks with assistants that have distinct roles and access to their own documents. You direct the agents through conversation and can have them work together on a shared task.

MetaGPT is a Python AI agent framework for developers who want to generate software projects using local models through Ollama or remote model APIs. The framework runs on your machine and writes a project repository locally. Its example configuration uses OpenAI, which sends model requests to that provider and requires API credentials.

Semantic Kernel is an SDK for developers building AI agents and coordinated workflows inside applications. It lets developers choose local model backends or cloud providers for those applications.