Fetch.ai: An Architecture for Modern Multi-Agent Systems
cs.MA, cs.AI
Submitted: 2025-10-21
Updated: 2026-09-01
Comments: 26 pages, figures, code examples
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Emergent autonomous scientific research capabilities of large language models
- Multi-Agent Consensus Seeking via Large Language Models
- Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
- Could long-period transients be powered by primordial black hole capture?
- L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
- MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
- TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance
- EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
- Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
- MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
- Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
- Building Cooperative Embodied Agents Modularly with Large Language Models
- Agents: An Open-source Framework for Autonomous Language Agents
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