facebookresearch/HyperAgents

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

2697 stars · 359 forks observed · 2026-08-28

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

A research framework from Meta AI implementing self-referential, self-improving LLM agents that can optimize their own code for arbitrary computable tasks. It provides a meta agent and task agent loop that iteratively generates and refines agent implementations across multiple domains.

Use cases

• run self-improving AI agents that optimize arbitrary tasks
• research self-referential agent architectures
• experiment with LLM agents that rewrite their own code
• reproduce HyperAgents paper experiments
• benchmark meta-agent performance across domains

When to choose

• you're researching self-improving or self-referential agent systems
• you want to reproduce or extend the HyperAgents paper
• you need a framework for agents that optimize their own implementations

When to avoid

• you need production-ready, safety-audited agent deployment
• you require a permissive commercial license (CC BY-NC-SA 4.0)
• you can't safely sandbox execution of untrusted model-generated code

Facets

library · maturity active

agent-framework llm-inference machine-learning artificial-intelligence large-language-models python cli self-improving-agents meta-agent research-code llm-agents non-commercial-license code-generation ai-agents research linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/HyperAgents")