AI Infrastructure & MLOps Paid

Shepherd

Unified company memory that proactively supports people and AI agents

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PricingPaid
Starting price$100/seat/mo
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Shepherd is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Shepherd?

Shepherd continuously ingests communications, documents, calls, code activity, and business systems into a unified organizational memory. Teams can query it through the web, Messages, Mac app, or MCP-enabled coding agents, share context across the company, and receive proactive reminders about open loops.

Best fit

Best for

Growing teams consolidating company context for employees and AI agents

Audience

Who is it for?

Startup and company teamsEngineering organizationsRevenue and customer teamsKnowledge and operations leaders
Recommendation

Decision note

Confirm connector coverage, source permissions, Mac requirements, MCP access, proactive actions, SSO, data residency, retention, security review, annual billing, support, and current pricing.

Capabilities

Key features

Automatic ingestion from company tools

Unified organizational wiki and memory

Web, Messages, and Mac access

MCP context for coding agents

Shared memory across teams

Proactive open-loop reminders

Workflows

Use cases

Finding company commitments and decisions

Sharing context between teammates

Supplying memory to coding agents

Following up on unresolved work

Strengths

Pros

  • Clear seat-based public pricing
  • Broad set of work-tool connections
  • Supports people and AI agents
Considerations

Cons

  • Sensitive company data needs strict permissions
  • No ongoing free plan was confirmed
  • Proactive suggestions can be incorrect
Considerations

Limitations

Shepherd can expose information to the wrong user, miss context, or suggest inappropriate actions. Organizations must verify connectors, permissions, retention, citations, proactive messages, agent boundaries, and every external or consequential action.

Cost

Pricing details

Pricing modelPaid
Starting price$100/seat/mo
Free planNo
Free trialYes
Pricing context

Billing options

Monthly subscriptionAnnual subscriptionCustom enterprise agreement
Pricing context

Pricing note

Personal and Team costs $100 per seat per month when billed monthly, with 20% savings shown for annual billing. Large Teams uses custom volume pricing. No ongoing free plan or formal free trial was confirmed.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Slack

Messages

Granola

Notion

Gmail

Google Drive

Google Docs

Calendar

GitHub

Claude Code

Codex

Cursor

Linear

Stripe

Specs

Technical details

PlatformsWeb, Desktop
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyShepherd
Models / versionsShepherd Company Memory Shepherd MCP
Editions / plansPersonal and Team Large Teams
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Shepherd continuously ingests communications, documents, calls, code activity, and business systems into a unified organizational memory. Teams can query it through the web, Messages, Mac app, or MCP-enabled coding agents, share context across the company, and receive proactive reminders about open loops.
Growing teams consolidating company context for employees and AI agents
The listed pricing model for Shepherd is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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