Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
- ✓Open-source license (AGPL-3.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
git clone https://github.com/macro-inc/macro && cp macro/*.md ~/.claude/agents/17 items in this repository
Build a new AI tool end-to-end — Rust implementation, toolset wiring, infra, schema generation, and frontend UI.
Find all open Dependabot alerts for this repo and create a plan to resolve them using the appropriate package manager overrides (pnpm, bun, npm, cargo).
Validate Rust work after substantial Rust code changes by running `just check`, `just clippy`, then `just format`. Use before the final response after a significant Rust implementation or cleanup task; batch edits first instead of running after every small change.
Create SQLx migration files with `sqlx migrate add <name>`. Use when asked to add, create, or generate a sqlx/sqlx-cli database migration.
Inspect Rust changes for SQLx queries. Use after modifying Rust code that adds or changes SQLx queries to ensure compile-time SQLx macros are used, run `just prepare_db` for offline query cache, and review queries for performance and security issues.
Interact with the Mintlify REST API to manage deployments, trigger builds, and query documentation site metadata programmatically.
Build and maintain documentation sites with Mintlify. Use when creating docs pages, configuring navigation, adding components, or setting up API references.
Enforce hexagonal architecture in the Rust backend. Use before modifying crates/ or Rust services, especially inbound axum/tool/listener adapters, domain services/ports, outbound adapters, authorization, permissions, database access, or external clients.
Wrap a new backend endpoint in the TypeScript SDK (packages/sdk), or record it as skipped. Use when `just coverage` fails, or after adding an endpoint to a Rust service.
Subagents overview
What people ask about macro
What is macro-inc/macro?
+
macro-inc/macro is subagents for the Claude AI ecosystem. Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory. It has 4.3k GitHub stars and its last recorded update is dated 2026-09-11.
How do I install macro?
+
You can install macro by cloning the repository (https://github.com/macro-inc/macro) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is macro-inc/macro safe to use?
+
Our security agent has analyzed macro-inc/macro and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains macro-inc/macro?
+
macro-inc/macro is maintained by macro-inc. The last recorded GitHub activity is dated 2026-09-11, with 100 open issues.
Are there alternatives to macro?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy macro to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/macro-inc-macro)<a href="https://claudewave.com/repo/macro-inc-macro"><img src="https://claudewave.com/api/badge/macro-inc-macro" alt="Featured on ClaudeWave: macro-inc/macro" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.