agentUniverse
Multi-agent framework with reusable collaboration patterns for building LLM agent applications.
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About agentUniverse
agentUniverse is listed in our frameworks category and is aimed at builders. Multi-agent framework with reusable collaboration patterns for building LLM agent applications. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-18.
agentUniverse at a glance
- Category: Frameworks
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- Licence: Apache License 2.0 (OSI-approved open source)
- GitHub: agentuniverse-ai/agentUniverse · 2,386 stars (as of Oct 21, 2026)
- Latest release: v0.0.19.1, Sep 14, 2026
- Last commit: Oct 20, 2026
- Official site: github.com/agentuniverse-ai/agentUniverse
- Listed on AgentScout: Oct 18, 2026
agentUniverse FAQ
What is agentUniverse?
Multi-agent framework with reusable collaboration patterns for building LLM agent applications.
How much does agentUniverse cost?
agentUniverse's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is agentUniverse open source?
Yes. agentUniverse's GitHub repository is published under the Apache License 2.0, according to the licence file in the repo.
Where can I find agentUniverse's source code?
On GitHub at agentuniverse-ai/agentUniverse, which had 2,386 stars as of Oct 21, 2026. The latest release is v0.0.19.1 (Sep 14, 2026).
What are alternatives to agentUniverse?
Similar tools include LazyLLM, Ax, EvoAgentX, Jido, KaibanJS and MetaGPT.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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agentUniverse alternatives
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LazyLLM
Low-code framework for building multi-agent LLM applications.
Ax
DSPy-style framework for building LLM programs and agents in TypeScript.
EvoAgentX
Framework for building, evaluating and automatically evolving LLM agents and agentic workflows.
Jido
Elixir framework for building supervised, fault-tolerant agents and multi-agent systems on the BEAM.
KaibanJS
JavaScript-native framework for building and managing multi-agent systems with a Kanban-style board for agent tasks.
MetaGPT
Multi-agent framework that assigns roles like product manager and engineer to LLM agents to build software.
Related lists
🏆 See also: AutoGen alternatives · All best-of lists
🧭 Task guides: Multi-agent orchestration tools for building AI agents
💲 Estimate API cost: compare per-request and monthly costs for GPT, Claude, Gemini and Grok models.
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