metauto-ai/GPTSwarm

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1045 stars · 107 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GPTSwarm is a Python library for building LLM-based agents as computational graphs, with modules for agent graphs, memory, LLM backends, and optimizers. It supports automatic self-organization of agent swarms with self-improvement via reinforcement learning and prompt optimization.

Use cases

• build LLM agents as graphs
• optimize agent workflows with reinforcement learning
• run multi-agent swarms that self-improve
• automatically optimize prompts for LLM agents
• research swarm intelligence with language models
• track LLM operational costs across agent runs

When to choose

• you want graph-structured LLM agents with automatic optimization
• you need multi-agent self-improvement backed by published research (ICML 2024)
• you want to experiment with swarm intelligence over LLMs

When to avoid

• you need a simple production chatbot framework without optimization overhead
• you want a framework with broad ecosystem integrations and large community
• your project avoids research-oriented libraries with evolving APIs

Facets

library · maturity active

agent-framework llm-inference machine-learning reinforcement-learning prompt-engineering rag artificial-intelligence large-language-models reinforcement-learning machine-learning python multi-agent swarm-intelligence graph-based-agents self-improvement society-of-mind llm-optimization research ai-agents

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markdown · JSON · MCP: product_card(name="metauto-ai/GPTSwarm")