[ Multipliers ]
Multipliers
A living list of multipliers — the reusable artifacts, practices, and methods that raise what one mind can build. Curated, and growing.
8 of 20 multipliers
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Beads ↗
A git-backed, dependency-aware issue tracker (CLI `bd`) that acts as persistent memory for AI coding agents, letting them track and sequence long-horizon work across sessions via a queryable task graph.
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GitHub MCP Connector ↗
A pre-built MCP server granting agents read/write access to GitHub repositories, pull requests, issues, and CI — one of the most-installed MCP connectors.
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Headroom ↗
Compresses everything an AI agent reads — tool outputs, logs, files, and RAG chunks — before it reaches the LLM, cutting token usage 60–95% with the same answers, so you get far more work out of each context window and usage cap.
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Model Context Protocol ↗
An open standard giving agents a common way to reach tools and data — thousands of servers with pre-built connectors for GitHub, Slack, Postgres, Google Drive and more.
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Playwright MCP ↗
An MCP server that lets coding agents drive a real browser via Playwright's accessibility tree — deterministic web navigation, form-filling, scraping, and end-to-end test automation without screenshots or a vision model.
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Serena ↗
An open-source MCP server that gives any coding agent IDE-grade, symbol-level code retrieval and editing across 20+ languages via the Language Server Protocol, so agents navigate and refactor large codebases without dumping whole files into context.
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Slack MCP Connector ↗
A pre-built MCP server for agents to search, read, and post across Slack channels and threads, turning a team's message history into agent-accessible context. (Now in the archived reference-servers repo.)
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Work Journal MCP ↗
A persistent memory tool that gives agents access to decision rationale, session history, and architecture notes across conversations — capturing the why a diff can't.