Devo MCP Server

by 7df-lab• 341•• Scanned•Claim this listing•Request removal
Data Science & MLagent runtimeai agentanthropic compatiblecode searchcoding agent

A self-improving agent. Tested on DeepSeek, Qwen, Kimi, GLM models. Supports MCP, Skills.

Devo is an open-source mcp server by 7df-lab, written mainly in Rust, with 341 GitHub stars and the MIT license. Its code was last updated Oct 22, 2026.

<div align="center"> <img src="./.github/assets/devo-readme-brand.svg" alt="Devo" width="360" /> </div>

Devo — Open-source recursive agent

Devo tackles multi-step work with a persistent Python workspace, child agents, and your choice of model provider. Use the Desktop app or terminal TUI/CLI, powered by a local Rust runtime.

CI Release License: MIT

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Devo vs. Claude Code and Codex

AgentMain emphasisModels
DevoProgrammable, recursive execution for coding and other multi-step tasks.Compatible cloud providers, local endpoints, and private gateways.
Claude CodeClaude-centered development across terminal, IDE, desktop, and web.Claude through Anthropic or supported cloud providers.
CodexOpenAI's coding agent across terminal, IDE, app, and cloud.OpenAI models by default; the CLI also supports custom and local providers.

Devo's ipython tool keeps variables and intermediate results across calls. The agent can filter large outputs in Python, reuse earlier work, and delegate independent subtasks to child agents with their own sessions and Python state. MCP, skills, permissions, and resumable sessions round out the workflow.

Children can independently select a configured model and reasoning level:

models = await rlm.find_models(limit=100)
chosen = next((m for m in models if "high" in m.thinking_levels), None)
if chosen is not None:
    reviewer = await rlm.spawn(
        "Review the current diff.", name="reviewer",
        model=chosen.selector, thinking="high",
    )

Omitted options inherit the immediate parent. Invalid selections fail without fallback. Discovery reflects configuration, not live health or credits.

Quick start

Desktop: Download the package for your OS and architecture from GitHub Releases, then connect a model provider in the setup flow.

Terminal — Linux / macOS:

curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh

Terminal — Windows PowerShell:

irm 'https://raw.githubusercontent.com/7df-lab/devo/main/install.ps1' | iex

Start in your workspace; first launch opens provider setup:

cd /path/to/your/workspace
devo

Resume with devo resume <session-id>; upgrade with devo upgrade. Terminal bundles include Node.js and Python. On Windows, install Git for Windows for shell commands and approve the one-time sandbox setup prompt.

Shell and terminal execution follow the configured sandbox profile; there is no global sandbox-disable switch. Python kernels are trusted user-privileged processes, not OS-isolated environments. Permission-picker UI flags and new-session permission defaults are separate settings; removing the global switch does not change them.

Configuration

Connect endpoints using OpenAI-compatible Chat Completions, OpenAI-compatible Responses, or Anthropic Messages APIs. The bundled catalog includes DeepSeek, Qwen, Kimi, GLM, and MiniMax. Use /model to switch models or devo onboard to revisit provider setup.

Docs and contributing

  • TUI guide — terminal controls and commands.
  • Contributing — issues, documentation, and focused fixes welcome.

Devo is pre-1.0; APIs and configuration may change. MIT License.

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