Foley vs Relaticle: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Foley and Relaticle — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Foley

Hanamori Labs, LLC

Freemium

A voice-first to-do list that turns what you say into organized tasks, asks when unsure, and plans your day.

Voice Capture: Say one or several tasks with a shortcut and review what Foley understood before the tasks are added.
Clarifying Questions: When a request could match more than one task, Foley asks which you mean rather than making a bad guess.
Daily Desk and Calendar: See tasks from every project in one place and move times or details by simply saying so.
AI Day Planning: Ask Foley to plan your day around existing tasks and follow the plan back to the work.
Projects and Folders: Group work and life into folders and projects that hold tasks and context.
Task Context: Attach notes and files and model dependencies such as one task blocking another.
Capture History with Undo: Keep the original words beside what Foley changed and undo any capture.
Bring Your Own AI Key: Choose Foley-managed AI or connect a personal key and control which projects AI can use as context.

Hands-free Task Entry: Dictate several to-dos in one sentence instead of typing each.
Rescheduling by Voice: Say 'change the review to 4 PM' to update a task without opening it.
Daily Planning: Have Foley build a plan from the day's tasks.
Project Dependencies: Track what blocks what, e.g. an invoice waiting on a board deck.
Shared Projects: Share a project with teammates so tasks and comments stay together.
Shopping and Packing Lists: Keep simple checklists and add items by voice.

Freemium

Open-source, self-hosted CRM with built-in AI chat and a 37-tool MCP server so external agents can read and update customer data.

Built-in AI Chat: Ask Rela anything about your CRM, @-mention records to scope a question, approve destructive actions, and undo with one click; supports voice input and searchable history.
37-Tool MCP Server: Connect Claude, ChatGPT, Gemini, or any custom MCP client for full CRUD over contacts, companies, deals, tasks, and notes, plus pipeline analysis.
Customizable Data Model: 22 field types including entity relationships, conditional visibility, and per-field encryption so the schema matches how your team actually sells.
Sales Pipeline Management: Custom opportunity stages, lifecycle tracking, and win/loss analysis across companies and contacts.
Task and Note Tracking: Create, assign, and link tasks and notes to any record; ask the chat to draft follow-ups or roll up what's due.
Team Collaboration: Multi-workspace support with role-based permissions and five-layer authorization.
Import and Export: CSV migration from any CRM with column mapping, validation, and error handling, plus export at any time.
Self-Hosting: Deploy on your own server with the published Docker Compose file under AGPL-3.0, with unlimited users and records.

A small sales team wants a CRM their Claude or ChatGPT agents can safely read and update without building a custom integration.
A privacy-conscious company needs customer data to stay on infrastructure it controls rather than in a third-party SaaS.
A founder migrating off HubSpot or Attio wants an open-source alternative with no per-seat pricing.
An operations lead automates pipeline hygiene — logging notes, rescheduling tasks, updating deal stages — through an agent with approval gates.
A developer builds a custom internal tool on top of the REST API and MCP server rather than a closed CRM's limited integrations.
A team standardizes on one shared schema so manual edits, in-app chat, and external agents never drift apart.