Agenvoy

<p align="center"> <picture style="margin-down: 1rem"> <img src="./doc/logo.svg" alt="Agenvoy" width="320"> </picture> </p> <p align="center"> <strong>Self-hosted AI agent harness that builds, tests, and reuses its own tools</strong> </p> <p align="center"> Open source, single Go binary. Runs on your own machine, handles multi-step work, searches local files,<br> schedules recurring tasks, and shares its sandboxed tool library with Claude Code, Codex,<br> and any other MCP client. </p> <p align="center"> <a href="https://trendshift.io/repositories/41899?utm_source=trendshift-badge&amp;utm_medium=badge&amp;utm_campaign=badge-trendshift-41899" target="_blank" rel="noopener noreferrer"> <img src="https://trendshift.io/api/badge/trendshift/repositories/41899/daily?language=Go" alt="agenvoy%2FAgenvoy | Trendshift" width="250" height="55"/> </a> </p> <p align="center"> <a href="https://github.com/pardnchiu/agenvoy/releases"><img src="https://img.shields.io/github/v/tag/pardnchiu/agenvoy?include_prereleases&style=for-the-badge" alt="Version"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/pardnchiu/agenvoy?include_prereleases&style=for-the-badge" alt="License"></a> </p> <p align="center"> <strong>English</strong> · <a href="./doc/README.zh.md">繁體中文</a> </p>

Why Agenvoy

• Self-extending tools — builds the missing tool instead of stopping
• One sandboxed tool library — shared across Agenvoy, Claude Code, Codex, and more
• Self-hosted execution — scheduling, memory, and file search on your own machine
• Agent app and MCP server — the same binary is both

What you can do with it

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Ask for live answers

What's the weather in Taipei?

The agent finds current data, calls tools, and gives you the answer.

If a tool doesn't exist, it builds one.

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Turn one sentence into automation

Report TSMC stock price every morning at 8am

The agent asks:

• Where to push results
• What format you want
• When to run

Then creates the schedule automatically.

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Ask your local files questions

Find all invoices from last year

Which document mentions Prompt guide?

The agent searches your local files and answers directly.

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Finish multi-step work

Summarize today's GitHub commits and generate a progress report

The agent breaks down the task, calls tools, combines results, and replies.

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Works with the agents you already use

Agenvoy is also an MCP server.

Claude Code, Codex, OpenCode, and other AI agents can connect and:

• Use all your sandboxed tools
• Auto-build new tools when none exist
• Share every tool across all agents

One line of config. Instant shared tool library.
Tools created in the demo: fetch_weather · fetch_crypto_price

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Claude Code creates a weather tool (1)

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Codex reuses it and creates a crypto tool (2)

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Agenvoy tests both tools (3)

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Who it's for

Agenvoy is for developers, technical operators, and AI-heavy workflows that need more than chat:

• People who want a self-hosted agent with sandbox guardrails
• Teams that want reusable tools across agents
• Users who need automation, file search, and scheduled reporting in one place

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Core capabilities

Capability	Description
Auto tool generation	Builds and saves tools when they're missing
Self-scheduling	Create cron jobs with a single sentence
Long-term memory	Retains key info and context
Knowledge notes	Reads the notes you keep, before it answers
File search	Answers from your local files
Sub-Agent	Multi-agent collaboration
MCP client	Connect to external MCP services via official go-sdk (live tool refresh)
MCP server	Expose sandboxed tools to any MCP-compatible agent
Reasoning guides	On-demand rules via reasoning_guide(topic=...)
Tool Market	Share and install tools
Transcription	Audio and video to text
Self-improvement	Auto-fixes after execution failures

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Web Dashboard

Open web.agenvoy.com in your browser to reach the dashboard once the daemon is running on your machine.

<p align="center"> <a href="https://youtu.be/n8tHHSCwOjE"> <img src="https://img.youtube.com/vi/n8tHHSCwOjE/maxresdefault.jpg" alt="Agenvoy Web Dashboard demo" width="640"> </a> </p> <p align="center"> <a href="https://youtu.be/n8tHHSCwOjE">▶ Watch the Web Dashboard walkthrough</a> </p>

One-line install

On MacBook, also run sudo pmset -c sleep 0 to prevent sleep from interrupting schedules.

curl -fsSL https://agenvoy.com/scripts/install.sh | bash

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Developer Recommendations

A cost-effective model setup to get started:

• Apply for a free NVIDIA NIM API token, then use it for:
  • gpt-oss-20b as the dispatcher model
  • gpt-oss-120b as the fallback and summary model
• Use a subscription plan as your primary model:
  • OpenAI ChatGPT Plus ($20/mo)
  • SuperGrok ($30/mo)

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How it compares

	Agenvoy	OpenClaw	Hermes-agent
Install	One command, single binary	pnpm monorepo	pip + docker
Multi-model	Auto-picks	Manual switch	Manual switch
Chat UI	Buttons / menus / modals	Text only	Text only
Builds missing tools	✅	❌	⚠️ Skill only
Shares tools across agents	✅	❌	❌
Works as MCP server	✅	❌	❌
Chat verification	6-digit code	Manual approval	Manual approval
Cross-session push	✅	❌	⚠️ Limited
File search	Semantic + keyword	Chat memory only	Chat memory only
Scheduled local workflows	✅	❌	⚠️ Limited

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Docs

Full documentation at agenvoy.com/docs

• Getting Started
• Sessions & Agents
• Providers
• Built-in Tools
• MCP Server
• MCP Client
• Memory System
• Skill System
• Sandbox
• Architecture

License

This project is licensed under the Apache License 2.0.

Author

Just open an issue to share an idea.

<a href="https://github.com/pardnchiu/agenvoy/graphs/contributors"> <img src="https://contrib.rocks/image?repo=pardnchiu/agenvoy&cache_bust=2026-05-12" alt="Agenvoy contributors" /> </a>

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©️ 2026 邱敬幃 Pardn Chiu