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

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

Farol

Lucas Neves Pereira

Free

A free, open source native macOS terminal for supervising Claude Code, Codex and other AI coding agents side by side.

Agent Status Sidebar: Shows at a glance which coding agent is working, which needs your input and which has finished, with a colored status dot per session.
Git Worktree Tasks: Describe a task, pick an agent, and Farol creates a git worktree on a new branch and starts the agent there so parallel agents never conflict.
Menu Bar and Notch Panel: A lighthouse menu bar item or notch panel and macOS notifications keep you posted on agent state while you work in other apps.
Diff Review and Shipping: View every changed file as a diff, then commit, push and open a pull request on GitHub or GitLab from the app.
Files and Git Graph: Browse the project as a tree, make quick fixes in a light editor and inspect a graph of every branch and commit.
Built on libghostty: Native Mac app with Ghostty's speed, themes and configuration support.
Multi-Agent Support: Claude Code and Codex report status once connected; any other terminal agent works via Farol's CLI or the terminal bell.

Parallel Agent Development: Run several Claude Code or Codex agents on separate branches of the same repo without file conflicts.
Agent Supervision: Monitor multiple long-running coding agents and respond only when one is waiting for you.
Code Review Before Merge: Inspect agent-generated diffs and open pull requests directly from the terminal.
Background Task Delegation: Kick off a task, switch to other apps and get notified through the notch or menu bar when it needs you.
Ghostty Migration: Keep an existing Ghostty config and themes while gaining agent-aware session management.

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.