Tools tagged with "Multi-agent workflows"

Plano is a self-hosted AI gateway for developers building applications with multiple agents. It handles shared routing, orchestration and monitoring outside the agents, so developers don't need to build those functions into each one.

Omnigent coordinates AI agents for developers and teams who want to combine coding assistants, control their access, and supervise work in shared sessions. It runs locally or on a self-hosted server, with remote cloud sandboxes as another option.

OpenChamber is a workspace for developers who want to run AI coding agents on their own computer or server and review the results. It uses OpenCode to run agents and keeps projects and sessions accessible across devices.

swarmux is a command-line task runner for developers coordinating coding agents in tmux. Each task gets its own session and git worktree, so you can supervise separate jobs while keeping access to their terminals.

Octipus is a self-hosted AI workspace for people who want agents to work on code, research, and recurring tasks while keeping the results open to review. A lead agent can use tools itself or assign bounded work to specialist agents. You can inspect the sources, changes, checks, and execution records behind an answer.

Zengram gives AI agents a shared memory across sessions and machines. It's for people using multiple assistants who want a discovery recorded by one agent to be available to the others.

Blades is an AI agent framework for Go developers building conversational applications and automated workflows. It lets developers combine model connections, application tools and conversation memory within their own software.

AIGNE DocSmith is a locally run AI documentation generator for developers and teams turning project material into guides and reference documents. The Node.js app stores its workspace and generated files locally, but generation requires Anthropic or another LLM provider configuration. Requests to a remote provider send project context to that service; local installation doesn't mean offline inference.

GPT Researcher is an AI research agent for people who need detailed reports based on web evidence, their own documents, or both. It investigates a question and writes a report with inline citations readers can check.

Multi-Agent Shogun runs and coordinates separate AI coding assistants on your computer or a Linux server. It's for developers dividing implementation and research across parallel tasks. Coordination happens locally, but Claude Code’s standard cloud connection sends prompts and model outputs over the network to their model provider; other agents use their chosen CLI's model access and authentication.

OpenCrust is a self-hosted AI assistant platform for people who want agents to handle tasks through their messaging apps. Named agents can pass work to one another and retain conversation memory between sessions.

Helix is a paid, self-hosted platform for engineering teams coordinating coding agents. Agents work on separate tasks in parallel, while the team shares a view of their progress and reviews their work.

TradingAgents is an open-source Python framework for researchers and developers studying AI trading decisions. It assigns market analysis and risk assessment to separate LLM agents, then combines their findings into a proposed trade for a simulated exchange.

OpenBitFun is a desktop AI agent workspace for coding and other tasks that use files and shell commands on your machine or a selected SSH host. It runs on Windows, macOS and Linux. Model requests go to the configured provider; built-in cloud connections send them to external services, and custom providers are also supported.

PentAGI automates authorized penetration testing for security engineers, researchers and red teams. Its specialized AI agents turn a target and a plain-language goal into testing work you can follow through a web interface.

CascadeFlow is a library for developers who need to control AI agent spending and behavior during a run. It works inside the application, assessing model calls, tool calls and sub-agent handoffs before deciding how execution should continue.

LazyLLM is a Python framework for developers building applications with multiple AI agents. It brings application workflows, model training and evaluation together so teams can refine a prototype using task-specific data.

OpenCode is an AI coding agent for developers who want help writing code or exploring unfamiliar projects. You can choose a local model running on your hardware or connect a cloud provider.

OASIS is a social media simulator for researchers studying how information spreads, groups polarize, and users follow the crowd. It uses LLM agents as simulated participants in Twitter and Reddit environments.

AI Infra Guard is a self-hosted AI security testing platform for developers and security teams checking agent workflows, model responses and AI infrastructure. It combines vulnerability scans and adversarial prompt tests in a web interface.

Selene is a desktop AI agent app for coding, browser tasks and personal assistants. You can choose local or cloud processing separately for chat, embeddings, voice and image generation.

Forge Orchestrator coordinates Claude Code, Codex CLI and Gemini CLI working on the same repository, so they can share decisions and avoid conflicting edits. It's built for internal use at NXTG; outside use isn't supported, there's no SLA, and interfaces may change without notice.

Rivet AgentOS is a runtime for developers building applications where AI agents need a working environment for code and tools. It runs inside an existing backend process, with WebAssembly isolation instead of a separate virtual machine for each agent.

Memorix keeps project memory for AI coding agents across chats and switches between tools. It's for developers who want decisions, fixes and unfinished work to remain available to the next session.

aionrs is a command-line AI agent for developers who want an assistant to work on local projects. It can carry out coding tasks across multiple steps using a model provider you choose.

txtai is a Python framework for developers building search, chat with their data, and AI agents on their own hardware. It combines a searchable knowledge store with model workflows, so applications can retrieve context and act on it.

Pi Subagents is an extension for developers who want to divide coding work among specialized AI agents in pi. Agents run in separate sessions, so you can assign distinct roles and follow their progress individually.

MASFactory is a Python framework for developers building workflows in which several AI agents collaborate. It combines natural-language design, code authoring and visual editing so teams can define the work and inspect how agents carry it out.

Kiln is a desktop workbench for teams building and testing AI applications. Engineers, QA staff and subject matter experts can work with the same tasks and datasets, including contributing ratings and examples without writing code.

OpenRath is a Python runtime for developers building multi-agent workflows that need an inspectable record of their work. It keeps context and evidence together so engineering and research teams can trace how a result was produced.

OpenRig coordinates coding agents for developers working on projects that last weeks or months. You talk to a lead agent, which delegates to specialists and brings back results or decisions that need your attention.

Yoji is an AI desktop companion for people who want a conversational assistant that can also act on their computer. It combines a customizable personality with file handling and task automation.

GPT Pilot is a local AI coding agent for developers who want to build applications under human supervision. The project is no longer maintained, and its model calls rely on external providers.

LoopX is an open-source control plane for AI agents working on multi-day coding, research and personal projects. It preserves the goal and decisions between sessions so work can resume after a pause or handoff.