玄衡科技XUANHENG TECHNOLOGY
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PROJECT 01 · AGENT SYSTEM

Agent Workspace

An AI agent workspace for individuals and organizations.

Status: Research Prototype

FOCUS

  • AI Agent
  • Human-AI Collaboration
  • Knowledge Management

01 · Overview

Overview

Building agent systems and workflow infrastructure for complex tasks.

The workspace connects tasks, workspace context, execution events and final results in one traceable path, with distinct modes for investigation, direct implementation, planned work and explicitly privileged operations.

Independent validation, deterministic Evidence and Artifacts preserve the relevant facts, while the interface presents verifiable state without exposing private model reasoning.

02 · Capabilities

Capabilities

  1. 01

    Tasks & Context

    Organising persistent tasks, workspaces and immutable context snapshots.

  2. 02

    Controlled Agent Workflows

    Separating direct, planned and privileged work while retaining human approval at critical boundaries.

  3. 03

    Execution Observability

    Reconstructing replayable traces, phase state and failure points from append-only events.

  4. 04

    Evidence & Delivery

    Preserving provenance and delivery scope through independent validation, focused Evidence and Artifacts.

03 · Workflow

Workflow

  1. 01

    Confirm Task & Workspace

  2. 02

    Build Context Snapshot

  3. 03

    Run Controlled Agent Workflow

  4. 04

    Validate & Deliver Result

04 · System View

System View

  1. 01

    Interaction & Task Layer

  2. 02

    Workflow & Approval Layer

  3. 03

    Context, Evidence & Artifact Layer

  4. 04

    Agent Runtime & Tool Layer

05 · Current State

Current State

Implemented

Local workspace and task management, multiple workflow profiles, event and context snapshots, independent validation, and Evidence / Artifact delivery are in place.

Current Focus

Refining how long-running work presents execution, results and reconciled runtime state.

Next Direction

Extending reusable knowledge workflows and collaborative organisational use cases.

06 · Principles

Principles

  1. 01

    Runs, events and Evidence are the facts; the interface is a presentation layer.

  2. 02

    Material changes remain under human control and receive independent validation.

  3. 03

    Context, results and external sources retain clear provenance.