How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Open coding agent, provider agnositc.
The main features of 7df-lab/devo are: AI & Machine Learning, Development Tools.
Open-source alternatives to 7df-lab/devo include: comet-ml/opik-mcp — Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts,… yvgude/lean-ctx — Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust… anaisbetts/mcp-installer — An MCP server that installs other MCP servers for you. aaif-goose/goose — Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development… aannoo/hcom — Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI,… 1nickpappas/move-code-quality-skill — Claude Code skill for analyzing Move packages against the official Move Book Code Quality Checklist.
An MCP server that installs other MCP servers for you
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development workflows. It functions as an orchestration engine that can install, execute, and test code, as well as manage local files and shell commands. The platform is model-agnostic, providing a flexible interface to connect with diverse cloud-based or self-hosted large language model providers. It distinguishes itself through a standardized context protocol for integrating external tools and extensions, and a recipe system that allows users to define and repeat complex, multi-step AI w
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.