LOGOS
Self-evolving governance layer for AI agent teams with human-in-the-loop oversight
About
LOGOS is a research framework that enables multi-agent systems to dynamically evolve their own logic and governance rules. It compiles multimodal inputs into executable logic that agents can inspect, debate, and collaboratively modify while maintaining human oversight. Designed for research into autonomous agent coordination and self-improving systems, LOGOS provides a pluggable layer that can be integrated into existing multi-agent architectures to enable agents to reason about and adapt their own operating principles.
Details
| Language | |
| Patterns |
Tags
Quick Info
- Organization
- Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jul 14, 2026
Also in Frameworks
LangChain
Build context-aware reasoning applications with LLMs
AutoGen
Microsoft's framework for building multi-agent AI systems
CrewAI
Multi-agent orchestration framework for collaborative AI workflows