AION: Next-Generation Tasks and Practical Harness for Time Series

Tianxiang Zhan1, Xiaobao Song2,1, Tong Guan3,1, Shirui Pan1, Ming Jin1
1Griffith University    2Shenzhen University    3Zhejiang University
arXiv preprint, 2026
Paper Code arXiv Docs

Quick Start

1. Install OpenCode

curl -fsSL https://opencode.ai/install | bash

2. Add AION to Your Project

cd your-project
git clone https://github.com/ztxtech/aion.git .opencode

3. Run

bash cli.sh

Or run manually:

opencode run --agent agent "Read the root task files and the .opencode contract first, then complete the task end-to-end."

AION Workflow

Finite-state execution with iterative refinement and dual-review gates

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flowchart LR
    classDef default fill:#ffffff,stroke:#7C3AED,stroke-width:2px,color:#1e293b,rx:6px,ry:6px
    classDef task fill:#ffffff,stroke:#7C3AED,stroke-width:3px,color:#1e293b
    classDef review fill:#fffbeb,stroke:#f59e0b,stroke-width:3px,color:#1e293b
    classDef pass fill:#ecfdf5,stroke:#10b981,stroke-width:2px,color:#047857
    classDef fail fill:#fef2f2,stroke:#ef4444,stroke-width:2px,color:#dc2626
    classDef rebuttal fill:#fff7ed,stroke:#f97316,stroke-width:2px,color:#c2410c
    classDef loop fill:#f8fafc,stroke:#8B5CF6,stroke-width:2px,color:#7C3AED,stroke-dasharray: 5 5

    A["01 Task"] --> B["02 Info"]
    B --> C["03 Run"]
    C --> D{"04 Review"}
    
    D -->|PASS| E["Done"]
    D -->|FAIL| F["Fix"]
    
    F --> G["Loop"]
    G -.-> B
    G -.-> C
    
    class A,B,C task
    class D review
    class E pass
    class F fail
    class G loop
    
    style A width:90px
    style B width:90px
    style C width:90px
    style D width:120px
    style E width:80px
    style F width:80px
    style G width:80px

The AION workflow operates as a finite-state machine with mandatory dual-review gates. After Task Analysis and Information collection, the coder runs experiments. Every output must pass both ts-critic (time-series expert + Pareto governance) and c-critic (final minimal-context cold-start critique). On Pass, the system finalizes with memory sync and trace logging. On Fail, the rebuttal protocol triggers, and the system loops back to gather more evidence or refine the experiment. No output leaves the system without passing layered critics.

Component Overview

Agents
Routing, requirements, implementation, and delivery
Native Skills
Search, planning, time series, experiments, reports, and safety
Protocols & Memory
Runtime coordination and evidence continuity
Review & Runner Gates
Critic approval plus fail-closed CLI evidence checks

AION is described by concrete components rather than fixed architectural layers: named agents own work, native skills load only when needed, protocols and memory preserve execution state, and critic plus runner gates verify the result before delivery.

Key Components

6 Specialized Agents

Main orchestrator, requirements analyst, information collector, coder, ts-critic, and c-critic with strict governance hierarchy.

Native OpenCode Skills

Task-aware capabilities load only when needed for search, planning, time-series analysis, experiments, reports, safety, and document input.

8 Runtime Protocols

Dispatch, reportback, rebuttal, stop-go, lifecycle, memory-sync, runtime-events, and compaction protocols.

5 Evaluation Contracts

Test suites, graders, scorecards, regression matrices, and release gates for quality assurance.

Memory & Trace

Per-task execution traces and cross-task persistent memory with context snapshots and decision logs.

Built on OpenCode

Extends the OpenCode AI coding agent with time-series-specific governance, skills, and safety gates.

Governance Hierarchy

c-critic Final minimal-context cold-start critique — ultimate authority
ts-critic Time-series expert + Pareto governance — highest gate
Main Agent Orchestration and dispatch — no closeout authority above critics
Other Subagents Requirements analyst, information collector, coder

The main agent owns dispatch and execution, but does not own closeout authority above the critics. In blocker judgment, rebuttal verdicts, route rollback, stop-go, and final-delivery decisions: c-critic > ts-critic > main agent > other subagents.

BibTeX

@misc{zhan2026aion,
  title={AION: Next-Generation Tasks and Practical Harness for Time Series},
  author={Tianxiang Zhan and Xiaobao Song and Tong Guan and Shirui Pan and Ming Jin},
  year={2026},
  eprint={2605.25045},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2605.25045}
}