Skip to content
Alternatives
Software like Agent Swarm
What else does this job. Matched on what each project does, not on who links to whom.
Closest first
- AgentSwarmsagentswarms.fyiAgentSwarms is a hands-on learning platform and self-hostable workspace for building agentic AI systems. It provides runnable agents and swarms, RAG and evaluation tools, prompt and schema utilities, notebooks, labs, and a unified AI and BI deployment option for developers and technical teams.
- Swarms AIswarms.aiSwarms AI is a full-stack platform designed for building, deploying, and monetizing autonomous agents at scale. It serves as both a multi-agent framework and an agent marketplace, aiming to provide the infrastructure necessary for teams developing production-grade autonomous systems. The platform emphasizes performance, reliability, and scalability, positioning itself as a foundation for organizations involved in the agent economy. The tool offers a range of capabilities to support complex multi-agent architectures, including hierarchical, sequential, and parallel collaboration systems. Swarms AI features advanced communication protocols that enable seamless agent-to-agent interaction and an ultra-optimized runtime to maximize efficiency and speed. Its memory management systems are tailored for complex agent workflows, while simulation environments are available for testing and training agent swarms. Security, governance, and compliance features are built in to support enterprise deployments and global availability. Swarms AI includes a hosted agent API and a marketplace where users can buy and sell agents, prompts, tools, and skills. The platform is designed to accommodate custom deployment options and compliance certifications, catering to enterprise requirements. It supports development in Python and Rust, targeting teams and organizations that require robust infrastructure for deploying autonomous agents in production environments.
- acai-swarmgithub.comacai-swarm is an open-source CLI tool that orchestrates swarms of AI agents for coding tasks. It enables developers to automate and optimize programming workflows using collaborative agent intelligence.
- SwarmWrightswarmwright.comSwarmWright is a self-hosted multi-agent AI workbench for designing, running, and inspecting swarms of AI agents. It is built for the middle ground between handing agents full control and hand-coding every step, with an emphasis on structured workflows, real-time visibility, and traceable decisions. The system centers on a topology that the user designs. Agents are described in plain markdown, every connection is declared upfront, and each decision leaves a reason. The interface includes a visual canvas for dragging agents onto a layout and drawing connections, with the diagram serving as the configuration. It also offers a live audit trail that streams each step as it happens, records the plain-English purpose behind actions, and flags unauthorized calls. The page also describes a built-in Operator that can be given a request in plain English and then designs the topology, writes the agents, and wires the skills. SwarmWright states that it runs on Docker and can be started with two commands. The quick start shows a container image, local data storage in a folder, and a hosted instance option. It says the product works on any machine that runs Docker, stores data locally, keeps LLM credentials encrypted inside the container, and supports Claude, GPT-4, and Deepseek. The page also says the software is source-available under CC BY-NC 4.0. The entry page frames it as software for agentic LLM workflows and repeatedly notes that the configuration is readable by business, operations, and compliance users. It also presents workflows with roles such as Policy, Orchestrator, Executioner, and Perceptionist, and says agents can pause for high-stakes decisions until approved.
- Agent Cloudainative.studioAgent Cloud is a platform designed to deploy autonomous AI agents rapidly, with a focus on minimizing human intervention in the provisioning process. It provides instant infrastructure setup for AI agents, including database provisioning, persistent memory, and access to a catalog of AI models and tools. The platform is tailored for developers and businesses seeking to automate workflows or build agent-driven applications without manual configuration or approval steps. Key features include zero-human provisioning, where agents can provision their own infrastructure via API or through a command-line interface. Upon sign-up or API request, Agent Cloud automatically generates API keys, provisions a PostgreSQL database with vector support, configures MCP (Multi-Component Protocol) tools, and enables persistent cognitive memory using ZeroMemory. The infrastructure supports multi-tier memory (working, episodic, semantic), semantic search, GraphRAG hybrid search, entity extraction, and knowledge graphs. Data infrastructure is unified under ZeroDB, offering vector search, NoSQL tables, file storage compatible with S3, and dedicated PostgreSQL access, all available through MCP tools or REST API endpoints. The platform supports a wide range of use cases, such as autonomous coding agents for software development, agents for research and analysis, DevOps and infrastructure automation, customer support with full product and customer context, and data pipeline automation for real-time processing. It also enables multi-agent workflows, allowing specialized agents to collaborate via the Agent Communication Protocol (ACP) and orchestrate complex tasks. The Model Catalog provides access to over 50 AI models, covering image, video, audio, coding, and embeddings, with automatic model selection for each task. Agent Cloud emphasizes agent experience (AX), measuring platform suitability for AI agents through features like instant credential generation, machine-first APIs that return structured JSON without CAPTCHAs or cookie requirements, and full self-service provisioning of resources. The onboarding process is streamlined, requiring no forms or approvals, with a 30-second setup from sign-up to the first deployed agent. A free tier is available, and no credit card is required to get started.
- SwarmZeroswarmzero.aiSwarmZero is a web-based marketplace for AI agents, enabling users to discover, deploy, and manage a variety of AI-powered agents for automation and productivity. It is designed for businesses and developers looking to leverage AI for diverse tasks.
- swarmbreakerpypi.orgswarmbreaker is an open-source framework for load and chaos testing of AI agent orchestration plumbing. It helps engineers simulate failures and heavy loads to ensure the reliability and robustness of agent-based systems, with support for Model Context Protocol (MCP).
- agent-squadpypi.orgagent-squad is an open-source Python framework for creating, orchestrating, and managing squads of autonomous AI agents. It provides a CLI interface and is designed for developers and researchers building complex agent-based systems. The project is licensed under Apache 2.0 and available on GitHub.
- DevSwarmdevswarm.aiDevSwarm is an AI-powered IDE augmentation platform built around running and coordinating parallel AI agents from one command center. It is aimed at development work that needs multiple agents, isolated branches, and a full IDE experience rather than a single assistant in a separate tool. The site frames it around multi-tasking, branch-isolated work, and reviewable results for feature development, bug fixes, testing, and code review. Its core workflow centers on worktrees. DevSwarm parallelizes worktrees so each branch is isolated and can run with its own agent, terminal, and runtime. The platform says workspaces can monitor active agents, coordinate with one another, delegate tasks, exchange messages, and share results without juggling multiple windows. It also describes a lead agent in one workspace creating sub-workspaces and coordinating scoped tasks back across DevSwarm through a system called HiveControl. The page also states that DevSwarm supports a full IDE experience and gives each workspace the extensions, port networking, and configuration needed for the project. DevSwarm also includes GitHub and Jira integrations. According to the page, these integrations provide visibility and task tracking inside DevSwarm, allow users to push, pull, commit, and merge code without leaving the product, and let teams start builders from tickets and turn tasks into active workspaces. The site says it works with top coding assistants and names Claude Code, Codex, and Gemini, while also describing itself as a vendor-neutral layer for multitask AI development. It further says workspaces can be opened in Cursor, JetBrains, Xcode, or a preferred editor. The product is available for download, and the page offers a free trial with a get started for free prompt. It is developed by 21st Idea, Inc., and the site identifies DevSwarm as a trademark of that company.
- SwarmFeedswarmfeed.aiSwarmFeed is an open-source, self-hosted social network designed specifically for autonomous AI agents. Modeled after platforms like Twitter, it provides a public, observable feed where agents can post, reply, repost, follow others, join channels, and build reputation. The platform emphasizes transparency and trust, attaching Ed25519 identity, verification, moderation, and reputation signals to every interaction. The system supports real-time posting and reactions, enabling agents to publish, reply, repost, and bookmark content across a shared timeline. Discovery features include trending feeds, channels, and full-text search, making it easier for agents to navigate and utilize the social graph. SwarmFeed is intended for developers and teams building or operating AI agents who require a dedicated social platform for agent communication and interaction. SwarmFeed is delivered as a fully self-hosted stack. There is no longer a managed or hosted service; users must deploy and run the platform themselves. The stack includes an API accessible at a specified local endpoint, as well as a web interface. Developers can interact with SwarmFeed through a typed TypeScript SDK, a command-line interface (CLI), integration with MCP-native agents and desktop clients, and a REST API built with Hono. This range of access methods allows for automation and integration with various agent workflows and development environments. The project is fully open source, with the codebase available on GitHub. Users are free to clone the repository, set up the necessary backing services and database, and operate their own instance. SwarmFeed does not offer a managed or paid service; all deployment and maintenance are handled by the user. This approach gives developers complete control over their agent social network and its data.
- puppetmaster-aipypi.orgpuppetmaster-ai is an open-source CLI tool for orchestrating Gunicorn-style agent swarms with Redis-like shared memory and artifact stitching. It is designed for AI developers and researchers who need to manage autonomous agents and their outputs efficiently.
- AgentBreederagentbreeder.ioAgentBreeder is a tool for defining AI agents in a portable YAML file and deploying them across local and cloud targets. Its own documentation frames it around three core actions: build agents, deploy anywhere, and govern automatically. The same configuration is intended to work with any framework and any cloud, with governance, RBAC, cost tracking, and an audit trail applied automatically on every deploy. The system includes a versioned and cached prompts layer, a hybrid RAG setup with vector and graph search, and support for A2A agent-to-agent communication over JSON-RPC with authentication. It also mentions an MCP capability with auto-discovered tools and a shared organization registry for prompts, tools, knowledge bases, and MCP servers. A deployment shown in the docs uses a single agent.yaml file and a terminal command, and the output indicates validation, building, deploying, prompt caching, RAG indexing, and MCP wiring. AgentBreeder lists support for LangGraph, CrewAI, Claude SDK, Google ADK, OpenAI Agents, and custom agents. It also describes multiple deployment targets, including Local Docker Compose, AWS ECS Fargate, GCP Cloud Run, Azure Container Apps, App Runner, and Kubernetes. The page says business users can drag and drop, engineers can write YAML, and researchers can use the full SDK, with all three paths compiling to the same pipeline and governance model. It is delivered as a Python package installable with pip3, and the documentation presents it as open source on GitHub. The product is described as having an 8-step atomic deployment pipeline with all-or-nothing behavior and no partial deploys. A separate note says AgentBreeder Cloud is coming, with managed infrastructure, zero DevOps, and automatic governance. The entry also shows a brief example configuration that includes a name, version, team, framework, model settings, and a local runtime setting.
- autobot-swarmgithub.comautobot-swarm is an open-source CLI tool for automating coding workflows across hierarchical, multi-cluster environments. It enables AI developers to orchestrate agent-based coding tasks efficiently using the command line.
- swarmsimpypi.orgswarmsim is an open-source Python package designed for agent-based modeling of swarm behavior. It provides tools to simulate groups of autonomous agents, study emergent collective intelligence, and model robotics scenarios. The library is suitable for researchers, educators, and developers working on swarm intelligence, distributed systems, and complex adaptive systems.
- morphy-agentmorphy.fyimorphy-agent is a CLI tool that provides a universal autonomous AI agent with support for multi-agent swarm execution. It is designed for AI researchers and developers who need to automate complex workflows using large language models and agent-based systems.
- swarmbusswarmbus.devswarmbus is an open-source CLI tool providing a reactive pub/sub message bus for AI agent coordination. Built on MQTT, it enables peer-to-peer messaging without polling, supporting multi-agent workflows and distributed AI systems.
- swarmrepo-agentswarmrepo.comswarmrepo-agent is an open-source Python starter package for building agents compatible with the SwarmRepo platform. It provides a runtime and essential tools for developers to quickly create and deploy SwarmRepo agents via the command line.
- AI Agentaiagent.appAI Agent provides a no-code platform for creating and deploying autonomous AI agents that handle complex tasks such as research, report generation, and workflow automation. Agents can connect to tools like GitHub, Gmail, Notion, and Linear, use company documents for context, plan multi-step processes, and execute actions with minimal human oversight. It enables teams to multiply productivity by delegating routine work to intelligent software agents.
- hive-agentpypi.orghive-agent is an open-source, local-first agent operating system that enables users to spawn persistent AI agents capable of collaborating, writing code, and autonomously using tools. It is designed for developers and researchers who want to run multi-agent AI workflows on their own infrastructure, supporting integration with various AI models and local inference. The project is MIT-licensed and community-driven.
- AgentOSsapienx.appAgentOS provides a unified operating system for building, deploying, and supervising teams of AI digital workers. It supports self-hosted private runtimes, persistent workspaces, one-click deployment on Railway, and bring-your-own-key model providers including OpenAI, Anthropic, and Gemini. Designed for teams that want ownership and control over their AI workforce, it includes action logging, credential protection, and mobile/desktop interfaces.
- Lean Swarmgithub.comLean Swarm multi-agent prediction and simulation engine
- AgentOvenagentoven.devAgentOven is an open-source enterprise agent control plane for managing AI agents. It combines a central agent registry, model routing, RAG pipelines, workflow orchestration, observability, and native A2A protocol support in one system. The site also describes it as the open-source Kubernetes for AI agents. Its feature set includes registering, versioning, and discovering agents with rich metadata, along with first-class support for Google’s Agent-to-Agent protocol. Agent routing can span OpenAI, Anthropic, Azure, Bedrock, and local models, with fallback chains and cost caps. Other named capabilities include version-controlled prompt management with variable interpolation, A/B testing, and rollback, declarative DAG-based workflow orchestration with chaining, conditions, fan-out and fan-in, pause and resume, real-time token and API cost tracking with budget alerts and quotas, and OpenTelemetry-native distributed tracing, metrics, and structured logging. It also supports native MCP integration, zero-downtime blue/green deploys, auto-scaling, health checks, canary rollouts, built-in vector search, five retrieval strategies for RAG, and enterprise data connectors for Snowflake, Databricks, and S3. Delivery is through a CLI and SDKs. The page shows agentoven-cli commands, an initialization flow that creates agentoven.toml and prompts/system.md, and SDKs for Python, TypeScript, and Rust. The architecture is described in layers, from SDKs and CLI through protocol and control-plane layers to infrastructure components including PostgreSQL, pgvector, Redis, OpenTelemetry Collector, and Prometheus/Grafana. Example code shows registration, baking an agent, and sending a task through A2A. The site also says the tool works with LangChain in the example and refers to workspace isolation through a kitchen model. AgentOven is open source and MIT licensed. The page presents it as built for teams and organizations that need a single control plane for agent registry, routing, workflows, RAG, observability, cost tracking, and governance.
Ranked by how close each one sits to Agent Swarm in the index, not by popularity. Back to Agent Swarm →