HomeResearch LibraryAgents: An Open-source Framework for Autonomous Languag…
toolChapter 4arXiv · 2023

Agents: An Open-source Framework for Autonomous Language Agents

Wangchunshu Zhou (AIWaves), Yuchen Eleanor Jiang (AIWaves)

Abstract

We present Agents, an open-source library for building autonomous language agents. Agents supports long-short term memory, tool use, web navigation, multi-agent communication, and human-agent interaction.

Eigenvector Insight — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

The Agents framework provides a comprehensive open-source baseline for enterprise agent development. Its explicit support for long-short term memory and human-agent interaction addresses key Zone III requirements.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Key Contributions

  • →Comprehensive open-source agent framework
  • →Long-short term memory integration
  • →Multi-agent communication support

Topics

agent frameworkopen-sourcememorymulti-agent