OpenHive

Local-first multi-agent runtime that runs GTM lead generation

Intermediate
Screenshot of OpenHive, Local-first multi-agent runtime that runs GTM lead generation

What is OpenHive?

OpenHive is an open source, local-first multi-agent runtime where a Queen Bee agent plans and worker agents execute GTM tasks such as ICP research, list building, signal scraping and drip email drafting, with cost caps and replayable runs.

OpenHive is an open source, local-first multi-agent runtime aimed at go-to-market work, with lead generation as its main use. The model is a hierarchy: a "Queen Bee" agent plans the work, then delegates to a colony of worker agents that carry it out. Workers are given roles, skills, tools and a scope, and the site shows examples such as researchers, SDRs, account executives, enrichment workers and CRM sync workers handling research, outreach, demos and record keeping. In practice, a user describes in plain language how they find leads, and the agents drive a real browser to work through pages the way a person would. A visitor can also enter a website URL on the homepage to have a GTM team set up around that business. For people who prefer a starting point, a playbook library offers ready-made agents: ICP discovery from LinkedIn connections, TAM/SAM/SOM market mapping, competitor intelligence with weekly digests, ICP list building with emails and buying signals, signal scraping for intent across posts, forums and reviews, and a drip email campaign that drafts a personalized five-email, 30-day sequence saved for approval before anything is sent. Control and oversight get real attention. Each agent has a versioned identity with a bio, skills and experience that can be audited, edited and forked. Observability covers every call, token and dollar, with replayable steps, decision diffs, and hard spending caps at the colony, queen or task level. Workers run in isolated Hive cells on KVM/Firecracker with pinned resources and warm-pool scheduling. The company also writes press releases and spotlight articles for onboarded businesses to build authority and backlinks, and lists SOC 2, GDPR, HIPAA, CCPA and ISO 27001 compliance. OpenHive suits founders, sales teams and growth operators who want autonomous prospecting without stitching together separate enrichment, sequencing and CRM tools. It sits between template-based outbound platforms and general agent frameworks, trading some simplicity for a more configurable, auditable agent organization. A desktop app is offered for macOS and Windows.

How do you use OpenHive?

  1. 1Download the desktop app
    Install OpenHive for macOS or Windows from the homepage. The app is the local-first runtime that hosts the Queen Bee and her workers.
    OpenHive — Download the desktop app
  2. 2Browse the playbook library
    Review the available playbooks, such as ICP discovery, market mapping and competitor intelligence, and pick one that matches your current goal.
    OpenHive — Browse the playbook library
  3. 3Define your ideal customer profile
    Run the ICP Discovery playbook to turn your LinkedIn connections and offering into a profile covering firmographics, technographics and behavioral signals.
    OpenHive — Define your ideal customer profile
  4. 4Build a live prospect list
    Use the ICP List Building playbook to generate contacts with titles, emails and buying signals from LinkedIn, starting with at least 10 prospects.
    OpenHive — Build a live prospect list
  5. 5Draft a drip email campaign
    Run the Drip Email Campaign playbook to produce a personalized five-email sequence per prospect, then review the saved drafts before approving.
    OpenHive — Draft a drip email campaign
  6. 6Check plans and set cost caps
    Compare plans on the pricing page, then set spending limits at the colony, queen or task level before running agents unattended.

Pros and cons

Pros

  • Ready-made playbooks cover ICP discovery, list building, signal scraping and email drips, so users do not start from a blank promptAI
  • Hard cost caps at colony, queen or task level, plus replayable steps, give real control over agent spendAI
  • Open source, local-first runtime with desktop apps for macOS and Windows and a free start optionAI
  • Drip email sequences are saved as drafts for approval, keeping a human check before outreach goes outAI
  • Agent identities are versioned and can be audited, edited and forked, which helps teams manage behavior over timeAI

Cons

  • Desktop downloads are listed only for macOS and Windows, with no Linux, mobile or browser-only option mentionedAI
  • The performance figures (5x ramp-up, 3x open rates, 5-7x conversion) are stated without methodology or benchmarksAI
  • The multi-agent org chart concept, personas and runtime controls add a learning curve for non-technical sellersAI
  • Playbooks lean heavily on LinkedIn data, which can raise account-safety and terms-of-service concernsAI
  • Pricing details sit on a separate page, so the homepage does not show what usage or hosted compute actually costsAI

How much does OpenHive cost?

Free trial

Download buttons for macOS and Windows are labeled "Start free", but trial length and limits are not described on the homepage.

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Pricing

The homepage offers a "Start free" download and links to a separate pricing page. No plan prices are stated on the homepage.

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Support

The homepage does not describe support channels. It offers a blog/newsroom and a playbook library, and lists SOC 2, GDPR, HIPAA, CCPA and ISO 27001 compliance.

Integrations

The homepage mentions CRM sync, LinkedIn-based playbooks, a Calendly call-to-action in email drafts, and routing across top LLM models. It does not list a full integrations catalog.

Features

Queen Bee planning with worker agents, browser-driven lead finding, six GTM playbooks, versioned agent personas, replayable observability with hard cost caps, Firecracker-based Hive cells, CRM sync, and a business newswire for backlinks.

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Frequently asked questions about OpenHive

  • How much does OpenHive cost?
    The homepage offers a "Start free" download and links to a separate pricing page. No plan prices are stated on the homepage.
  • Does OpenHive offer a free trial?
    Download buttons for macOS and Windows are labeled "Start free", but trial length and limits are not described on the homepage.
  • How do you use OpenHive?
    The walkthrough on this page covers 6 steps: 1. Download the desktop app 2. Browse the playbook library 3. Define your ideal customer profile 4. Build a live prospect list 5. Draft a drip email campaign 6. Check plans and set cost caps.
  • What platforms does OpenHive support?
    OpenHive is available on MacOS and Windows.
  • What does OpenHive integrate with?
    The homepage mentions CRM sync, LinkedIn-based playbooks, a Calendly call-to-action in email drafts, and routing across top LLM models. It does not list a full integrations catalog.
  • What are the limitations of OpenHive?
    Desktop downloads are listed only for macOS and Windows, with no Linux, mobile or browser-only option mentioned. The performance figures (5x ramp-up, 3x open rates, 5-7x conversion) are stated without methodology or benchmarks. The multi-agent org chart concept, personas and runtime controls add a learning curve for non-technical sellers.

Status

StatusActive
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Added10/8/2026

Platforms

MacOSWindows

Pricing

Freemium