Tools tagged with "Multi-agent workflows"

agentmemory gives AI coding agents persistent, searchable context from earlier work. It's for developers who want project decisions, past errors and useful lessons to remain available across sessions and different agents.

Skills (mattpocock) is a collection of small engineering workflows for developers using Claude Code, Codex and other AI coding agents. You can adapt and combine individual skills to address specific problems without adopting a complete development process.

Docker Agent runs individual AI agents or teams from configuration files. Developers can use it for coding assistants, research tasks and automation workflows.

Orca is a desktop workspace for developers managing several AI coding agents on the same project. It keeps each task in a separate Git worktree so agents can edit independently while you compare their results.

agent-desktop lets developers give AI agents control of macOS apps such as Finder, Safari and Xcode. It identifies controls through the app's accessibility tree, so agents can act on buttons and text fields by their UI structure.

Goose is a general-purpose AI agent for people who want help with coding, research, writing, automation or data analysis. It runs on your computer and lets you choose the model provider behind the agent.

ECC adds reusable engineering workflows to AI coding assistants. It's for developers who want editable plans, test-first development and separate review contexts across sessions.

Cline is an AI coding agent for developers who want help understanding a codebase, making changes and running project tasks. It works in VS Code, JetBrains IDEs and the terminal, with a standalone desktop app for macOS, Windows and Linux.

Superpowers adds a development workflow to AI coding assistants. It's for developers who want to approve a design before implementation and have the agent work through a plan with testing and review.

Herdr manages persistent terminals for developers running coding agents across projects and machines. Closing its client or losing an SSH connection leaves work running on the host, so you can reconnect later.

DeepTutor is a self-hosted AI tutor for learners who want to study their own materials through a browser or CLI. It supports Docker deployment and uses configured model providers for its AI capabilities. Hosting the app locally is separate from model inference; requests to a remote provider leave the host.

AI Job Search is a job application framework for people who want to assess roles and prepare tailored documents from their own career profile. It runs through Claude Code on your machine, but AI work uses Anthropic's service and requires paid Claude access or API credits, so it isn't fully offline.

Hermes Agent is a self-hosted AI agent from Nous Research for people who want an assistant that remembers past work and handles recurring tasks. It runs on macOS, Linux and native Windows, or on a server you control. Model connections include Nous Portal, OpenRouter, OpenAI and your own endpoint; choosing a hosted provider sends model requests to that service.

Paperclip coordinates AI agents for people managing work across development, research, marketing and other business functions. It gives the team a shared structure and keeps its work tied to organization goals.

OpenAI Agents SDK is a Python framework for developers building tool-using agents with local models or cloud APIs. It supports gpt-oss through Ollama, with LM Studio also documented as a local model option. OpenAI models use the remote Responses API by default and require an API key, even when the agent runtime and workspace run on your machine.

Kiro Crew is a self-hosted AI development workspace for developers who want agents to keep working between conversations. It runs on your computer or a server you control, but its default kiro-cli backend requires separate Kiro sign-in for model access. The default Kiro connection sends model requests to Kiro's cloud service, powered by Amazon Bedrock.

Local Agent Studio is a Windows desktop app for building AI agents and connecting them in visual workflows. It suits first-time agent builders and developers prototyping private automation. Local and cloud agents can work together in the same workflow, with progress visible for each step.

HarnessX is a Python framework for developers building AI agents whose behavior they can reuse and adapt. It separates model choice from tool use, memory and context handling, so changing an agent's role doesn't require rewriting it.

open·kritt helps security researchers and developers investigate code for vulnerabilities through focused AI agent tasks. It gives teams control over the research prompts, workflows, model providers, and infrastructure they use to review a codebase.

Captain Memo gives developers a shared memory across coding assistants, so project decisions and lessons remain available between sessions and tools. Claude Code, Codex, Gemini CLI, Cursor and other MCP-compatible assistants can access the same corpus.

AutoAgent lets people create AI agents by describing the work they want done. It's for users who want custom agents without writing the agent code themselves, or a ready-made research assistant for gathering information and producing reports.

CrewAI is a Python framework for developers automating work with teams of AI agents. It combines agents that make decisions with explicit workflow logic, so a process can include both autonomous work and predictable steps.

kodo coordinates coding agents for developers who have a clear goal and want work to continue unattended for hours. It divides implementation and review across agents and multiple context windows.

Optio coordinates coding agents and automated work for teams using their own infrastructure. A shared feed tracks pull requests, recurring jobs, interactive sessions and agents that stay available between tasks.

OpenHands is an AI coding agent platform for developers and teams that want agents to carry out code changes and recurring engineering work. Agent Canvas provides a control center for agent conversations and automations.

Yuxi is a self-hosted AI agent platform for teams that need answers from their documents and agents that can carry out multi-step work. Its browser workspace brings knowledge sources, task progress and generated files into the same conversation.

agentchattr is a local chat server for developers coordinating multiple AI coding agents. Humans and agents share a conversation and can mention one another to trigger responses without carrying messages between terminals.

iCode is a terminal development workspace for developers who want to work with AI agents and inspect their changes. It brings conversations, agent workflows and a working shell into one interface.

Pi Interactive Shell lets developers give the Pi coding agent control of terminal programs that need ongoing input. You can watch the session in an overlay and take control when a task needs your attention.

PraisonAI is a Python framework for developers building AI agents that research, write code, or carry out tasks across apps. It supports single agents and coordinated teams for work that needs several steps or specialist roles.

Team Tasks is a local command-line tool for developers coordinating AI agents through OpenClaw or another orchestration system. Shared JSON files keep task assignments, progress and results in one project record.

Claudio coordinates multiple Claude Code sessions on one repository. It's for developers who want agents to tackle separate coding tasks in parallel, with each session working on its own branch.

Vigil SOC is an open source AI SOC for security teams that want agents to investigate alerts and carry out incident response within their own environment. It connects investigations, containment, and reporting through editable playbooks.

Open Multi Agent is a TypeScript framework for developers building self-hosted AI agent teams. It lets you coordinate work across agents, require human decisions before consequential actions, and inspect what happened afterward.