guild: Shared context, memory, and task coordination across AI coding agents

by mathomhaus · MCP Server · ★ 301

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install guild

brew install mathomhaus/tap/guild
go install github.com/mathomhaus/guild/cmd/guild@latest

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-coordinationagent-memoryai-agentsclaudeclaude-codecodexcursorgolangharness-engineeringlocal-first

Quick Facts

Stars301
Forks45
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score64/100
Open Issues12
Last Updated2026-10-10
Created2026-04-20
Platformsclaude-code, codex, go, mcp
Est. Tokens~17k

About guild

The Agent Guild Shared context, memory, and task coordination across AI coding agents. What Is It is a single compiled Go binary containing a first-class MCP server backed by embedded SQLite. State lives strictly on local host; nothing leaves your machine.

guild alternative? Top 6 similar tools

Looking for a guild alternative? If you're comparing guild with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • Ori-Mnemos by aayoawoyemi · ⭐ 328

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

  • maestro by ReinaMacCredy · ⭐ 234

    Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f

  • omega-memory by omega-memory · ⭐ 220

    Persistent memory for AI coding agents

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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