SuperNovaAgent

Source#

• Repository: Ray-Code-Svg/SuperNovaAgent
• Last source update: 2026-07-07
• Last verified: 2026-07-12

Tags#

Integration notes#

Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: supernovaagent-repo-derived-worker
name: SuperNovaAgent Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/supernovaagent/
source_repository: https://github.com/Ray-Code-Svg/SuperNovaAgent
repository_default_branch: main
repository_language: Rust
repository_license: Apache-2.0
repository_updated_at: 2026-07-07
worker_mode: ui-copilot-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-07-12
tags:
  - agent-framework
  - agent-orchestration
  - desktop-application
  - harness-engineering
  - harness-framework
  - windows
---

# SuperNovaAgent Repo-Derived Worker

## Repo-derived summary
- Registry summary: SuperNova is a Windows-first desktop AI Workbench that turns chat into traceable tasks. It combines a Tauri + React Workbench, Rust Product Runtime, typed protocol, and Process Kernel so actions ca...
- Repository description: SuperNova is a Windows-first desktop AI Workbench that turns chat into traceable tasks. It combines a Tauri + React Workbench, Rust Product Runtime, typed protocol, and Process Kernel so actions can produce visible artifacts, runtime receipts, replayable evidence, and controlled workspace execution.
- Stars (snapshot): 212
- Primary language: Rust
- Worker mode classification: ui-copilot-worker

## Extracted from
- https://github.com/Ray-Code-Svg/SuperNovaAgent
- https://github.com/Ray-Code-Svg/SuperNovaAgent/blob/main/README.md

## Evidence notes (from repository text)
- README summary paragraph: A Windows-first desktop AI Workbench for truth-backed agent execution.
- A Windows-first desktop AI Workbench for truth-backed agent execution.
- SuperNova is an AI Agent workbench for a local workspace. It brings project files, Chat, TASK execution, context, and output destinations into one surface so questions can become inspectable work results.
- | Agent workflows | Add TASK flows that observe context, call capabilities, and close with evidence. |
- | Local tools | Add or adapt file, terminal, document, package, artifact, or environment capabilities. |
- SuperNovaAgent is not just a chat box. A chat answer is text; a TASK is tracked local work with runtime state, artifacts, and evidence.

## Installation hints found in README
- No explicit package installation command detected in README text.

## worker.md contract (derived starter)
Purpose: Run bounded assistant tasks for UI copilots using patterns documented in this repository.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "session_id",
    "user_prompt",
    "app_context"
  ],
  "properties": {
    "session_id": {
      "type": "string"
    },
    "user_prompt": {
      "type": "string"
    },
    "app_context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "session_id",
    "response",
    "status"
  ],
  "properties": {
    "session_id": {
      "type": "string"
    },
    "response": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: session_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: supernovaagent-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/supernovaagent/

Source URL: https://github.com/Ray-Code-Svg/SuperNovaAgent