8 Best MiroFish Alternatives in 2026 (Open Source)
MiroFish — A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物. Uses swarm intelligence in a digital sandbox to rehearse the future through countless multi-agent simulations.
These 8 open-source tools do the same job. They are ordered by how closely they match MiroFish, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| MiroFish(original) | 75.4k | +6,287 | 2026-09-03 |
| Swarm | 22.0k | +126 | 2026-04-15 |
| Agency Swarm | 4.6k | +74 | 2026-09-25 |
| Swarms | 7.2k | +175 | 2026-09-30 |
| GPTSwarm | 1.1k | +5 | 2026-02-05 |
| CAMEL | 17.8k | +207 | 2026-09-30 |
| AgentVerse | 5.1k | +27 | 2024-09-09 |
| LangGraph | 42.5k | +2,382 | 2026-09-30 |
| crewAI | 59.2k | +1,904 | 2026-09-30 |
1. Swarm
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Best for: Developers learning multi-agent orchestration patterns and concepts; Rapid prototyping of multi-agent workflows before production implementation; Educational settings exploring agent handoff and coordination
2. Agency Swarm
Reliable Multi-Agent Orchestration Framework
What sets it apart: Multi-agent framework modeling real-world organizational structures with directional communication flows — vs CrewAI (role-based but less control) or AutoGen (conversation-centric)
Best for: Building multi-agent systems modeled as organizational structures; Teams wanting full control over agent instructions and communication; Production multi-agent deployments with typed tools
3. Swarms
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
What sets it apart: Focuses specifically on swarm-style multi-agent coordination where agents spawn, communicate, and self-organize — unlike AutoGen's structured conversations, Swarms emphasizes emergent cooperative behavior
Best for: Experimenting with multi-agent LLM collaboration patterns; Researchers exploring swarm intelligence with language models
4. GPTSwarm
🐝 The First Self-Improving Agentic Solution
What sets it apart: vs CrewAI / LangGraph / OpenAI Swarm: graph-based agent framework with automatic edge optimization — agents self-organize by pruning/creating inter-agent connections, backed by ICML 2024 research
Best for: Researchers building optimizable multi-agent LLM systems; Complex tasks requiring agent coordination and graph-based workflows; Teams wanting self-improving agent swarms with edge optimization
5. CAMEL
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
What sets it apart: Purpose-built for studying agent scaling laws with million-agent simulation support — vs other frameworks focused on practical deployment
Best for: Research on multi-agent collaboration and emergent behaviors; Synthetic data generation for model training
6. AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Best for: Researchers studying multi-agent LLM behaviors and emergent phenomena; Engineers building collaborative AI systems with specialized agent roles; Academic projects exploring agent coordination and social simulation
7. LangGraph
Build resilient language agents as graphs.
What sets it apart: Unlike CrewAI (high-level role-based crews), LangGraph provides low-level graph-based orchestration with durable execution and memory — trusted by Klarna, Replit, and Elastic for production stateful agents
Best for: Teams building long-running stateful agents that need durable execution and human-in-the-loop; LangChain ecosystem users wanting production-grade agent orchestration with LangSmith observability
8. crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
What sets it apart: Unlike LangGraph (low-level graph orchestration requiring LangChain), CrewAI is a standalone high-level framework where you define agent roles and goals — the simplest path from idea to production multi-agent system
Best for: Teams building multi-agent systems with role-based collaboration (researcher, writer, reviewer); Enterprises wanting a standalone framework without LangChain dependency
FAQ
- What are the best alternatives to MiroFish?
- The closest open-source alternatives to MiroFish are Swarm, Agency Swarm and Swarms, followed by GPTSwarm, CAMEL and AgentVerse. They are ranked by how closely they match what MiroFish does.
- Which MiroFish alternative is the most popular?
- crewAI has the most GitHub stars among MiroFish alternatives, with 59,232 stars.
- Which MiroFish alternative is the most actively maintained?
- By recent activity, crewAI (301 commits in the last 90 days) is the most actively developed alternative.