Agenvoy
Make AI actually work for you - A personal agent that writes its own tools and repairs itself.
Source#
- Repository: agenvoy/Agenvoy
- Last source update: 2026-07-04
- Last verified: 2026-07-05
Tags#
Integration notes#
Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.
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: agenvoy-repo-derived-worker
name: Agenvoy Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/agenvoy/
source_repository: https://github.com/agenvoy/Agenvoy
repository_default_branch: master
repository_language: Go
repository_license: Apache-2.0
repository_updated_at: 2026-07-04
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-07-05
tags:
- agent-framework
- ai
- ai-agents
- claude
- codex
- deepseek
---
# Agenvoy Repo-Derived Worker
## Repo-derived summary
- Registry summary: Make AI actually work for you - A personal agent that writes its own tools and repairs itself.
- Repository description: Make AI actually work for you - A personal agent that writes its own tools and repairs itself.
- Stars (snapshot): 234
- Primary language: Go
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/agenvoy/Agenvoy
- https://github.com/agenvoy/Agenvoy/blob/master/README.md
- https://web.agenvoy.com
- https://agenvoy.com/docs/
- https://agenvoy.com/docs/getting-started
## Evidence notes (from repository text)
- README summary paragraph: A local AI agent that can build, test, and reuse its own tools
- A local AI agent that can build, test, and reuse its own tools
- and exposes its tool library to other agents through MCP.
- - **Build missing tools instead of stopping**
- - **Share one sandboxed tool library across Agenvoy, Claude Code, Codex, and more**
- - **Run local workflows with scheduling, memory, and file search**
## Installation hints found in README
- No explicit package installation command detected in README text.
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_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:
agenvoy-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/agenvoy/
Source URL: https://github.com/agenvoy/Agenvoy