guilds.run

guilds.run

Free ★★★★☆ 4.0/5
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guilds.run Overview

This guilds.run review examines the open-source multi-agent platform as it stands in October 2026, after its Product Hunt launch. guilds.run lets you create multi-agent workflows you can actually trust — teams of specialized AI agents with defined roles, shared tables, and schedules, packaged as shareable ‘recipes’.

What is guilds.run?

guilds.run is an open-source platform for building teams of AI agents that work together on recurring processes. Instead of one generalist agent, you define a guild: multiple agents with distinct roles (a scout, a researcher, a writer), shared data tables, and run schedules. A recipe bundles the whole team — agents, tasks, tables, schedules — into one file you can apply, tweak, and share.

The pitch is trust through inspectability. Because it’s open source, you can read exactly what each agent does, which matters when agents touch your inbox, your GitHub, or your wallet. Pre-built recipes cover workflows like X growth (finds posts worth replying to, writes in your voice), LinkedIn prospecting (researches accounts, drafts outreach, tracks threads), support triage (reads the inbox, tags, routes, drafts replies), and GitHub repo management (triages issues, reviews PRs).

Pricing is refreshingly simple: the platform is free and open source. You cover your own model and compute costs — the site shows estimated daily run costs per recipe (for example, roughly $2.10/day for the X growth recipe at ~1.8M tokens/day), so you can budget before you deploy. There are no per-seat fees and no platform subscription.

How guilds.run Works

You start from a recipe — either a public one or your own. Each recipe defines agent roles, their tasks, shared tables for structured data, and schedules (cron-like runs). Connect your accounts through its connector system: Notion, Gmail, Google Drive, GitHub, Slack, X, Discord, Telegram, LinkedIn, plus crypto connectors like wallets, Alchemy, and CoinGecko.

Connectors are permission-scoped per organization, guild, or individual agent — an agent only sees the accounts you explicitly enable for it. Runs execute on schedule or on trigger, with each agent performing its role and writing results to shared tables. Because recipes are files, you can version them, fork them, and export your working guilds to share with others.

The multi-agent structure is the point: a single agent doing ‘grow my X account’ is unreliable, but a scout finding posts, a writer drafting in your voice, and a queue manager keeping the pipeline moving is a system you can audit and improve piece by piece.

Who Should Use guilds.run?

guilds.run fits technical teams and solo builders who want persistent, inspectable agent workflows for growth, support, research, or ops — and who are comfortable with open-source tooling. If you’ve been stitching agents together with scripts and cron jobs, this gives you structure.

It’s a poor fit for non-technical users who want a polished, managed product, and for anyone uncomfortable granting agents access to real accounts. Teams needing SLAs, compliance certifications, or vendor support should look at managed agent platforms instead.

Our Verdict on guilds.run

guilds.run is one of the most interesting agent infrastructure launches of late 2026. The recipe model plus open-source inspectability directly answers the biggest objection to multi-agent systems: ‘but can I trust it?’

The bottom line of this guilds.run review: adopt it if you want agent teams you can read, fork, and own — and budget your token costs per recipe before scaling.

For a managed alternative with vendor support, explore options in our AI Agents category.

Key Features

  • Open-source multi-agent platform you can inspect and self-host
  • Recipe system packaging agents, tasks, tables, and schedules in one file
  • Pre-built recipes for X growth, LinkedIn prospecting, support triage, GitHub management
  • Permission-scoped connectors: Gmail, Notion, Drive, GitHub, Slack, X, Discord, Telegram, LinkedIn
  • Per-recipe cost estimates so you can budget token spend before deploying
  • Scheduled and triggered runs with shared data tables
  • Export and share your working guilds as recipes

guilds.run Pricing

Plan Price
Open Source Free
Compute Pay-as-you-go (your model provider)

Pricing checked on November 2, 2026 — always confirm on the official site.

guilds.run Pros & Cons

✓ Pros

  • Open source means full inspectability of agent behavior
  • Recipe model makes agent teams portable and shareable
  • Per-recipe cost estimates prevent billing surprises
  • Permission-scoped connectors limit what each agent can touch
  • No seats or subscription — costs scale only with actual usage

✕ Cons

  • Very new product — the public recipe directory is still marked 'coming soon'
  • Multi-agent runs can burn through tokens fast; costs scale with ambition
  • Requires comfort with connecting real accounts (Gmail, Notion, GitHub) to agents
  • No long track record yet; reliability claims rest on early user reports

guilds.run FAQs

How much does guilds.run cost in 2026?
The platform itself is free and open source. You pay only your own model and compute costs — the site shows estimated daily run costs per recipe (e.g. ~$2.10/day for the X growth recipe), so you can budget before deploying. No seats, no subscription.
What is a guilds.run recipe?
A recipe is a whole agent team in one file: the agents, their roles and tasks, shared data tables, and run schedules. You can apply public recipes, customize them, and export your own to share.
Is guilds.run safe to connect to my accounts?
It's open source, so you can inspect exactly what each agent does. Connectors are permission-scoped per organization, guild, or agent — agents only access accounts you explicitly enable. Still, only connect accounts you're comfortable granting agent access to.
What can guilds.run agents do?
Pre-built recipes cover X growth, LinkedIn prospecting, support inbox triage, and GitHub repo management. Connectors include Gmail, Notion, Google Drive, GitHub, Slack, X, Discord, Telegram, and LinkedIn, with more arriving.
How is guilds.run different from a single AI agent?
A single agent handling a complex recurring workflow is unreliable and hard to debug. guilds.run splits the work across specialized agents with defined roles and shared tables, so you can audit and improve each piece independently.

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