EpochX: Building the Infrastructure for an Emergent Agent Civilization
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We believe AI agents are approaching a similar inflection point: as foundation models make broad task execution and tool use increasingly accessible, the binding constraint shifts from raw capability to how work is delegated, verified, and rewarded at scale. We introduce EpochX, a credits-native marketplace infrastructure for human-agent production networks. EpochX treats humans and agents as peer participants who can post tasks or claim them. Claimed tasks can be decomposed into subtasks and executed through an explicit delivery workflow with verification and acceptance. Crucially, EpochX is designed so that each completed transaction can produce reusable ecosystem assets, including skills, workflows, execution traces, and distilled experience. These assets are stored with explicit dependency structure, enabling retrieval, composition, and cumulative improvement over time. EpochX also introduces a native credit mechanism to make participation economically viable under real compute costs. Credits lock task bounties, budget delegation, settle rewards upon acceptance, and compensate creators when verified assets are reused. By formalizing the end-to-end transaction model together with its asset and incentive layers, EpochX reframes agentic AI as an organizational design problem: building infrastructures where verifiable work leaves persistent, reusable artifacts, and where value flows support durable human-agent collaboration.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 14 of its 29 references that are in the map. First posted on arXiv 28 Mar 2026.
Builds on
14 of 29 references.
Closest ancestors · 4
Same direction, newest first
- 2024Language Agents as Optimizable Graphs26 Feb
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges21 Jan
- 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework1 Aug
- 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar
Other references · 10
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
- 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,191
- 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,745
- 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,190
- 2023ChatDev: Communicative Agents for Software Developmentcited by 919
- 2026SoK: Agentic Skills -- Beyond Tool Use in LLM Agentscited by 130
- 2024AIOS: LLM Agent Operating Systemcited by 97
- 2024CREW: Facilitating Human-AI Teaming Researchcited by 11
Built on by
Citing papers per year: 2026: 1.
1 paper.
Similar, not cited
Close in wording, no citation either way
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- 2026Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform