GBrain vs Moxie Docs: Features, Pricing & Which Is Better (2026)

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

GBrain

Paid

A shared team brain that syncs memory, connected apps and scheduled skills to ChatGPT, Claude, Cursor and any AI your team uses.

Shared Team Chat: The whole team prompts in one shared chat where anyone can follow up and see how answers were worked out.
Plain-File Memory: Team knowledge lives as markdown notes in folders you can open, correct and copy, and every AI answers from the fix.
Connect Once Credentials: Connect Gmail, Calendar, Drive, Stripe and more once; AIs receive call results, never passwords.
Per-AI Permission Levels: Set each AI to Off, Read, Draft, Manage or Full per account, with every action on one record.
Scheduled Skills: One-click skills like Team Standup, Customer Comms Tracker and Inbox Cleanup run daily or once.
Multi-AI Sync: Sync the same memory to Claude, ChatGPT, Cursor, Claude Code, Codex and your terminal.
Tools Plan: A password manager for AI that puts your applications into every AI you use for individuals.

Team Standups: Summarize the team's work across GitHub, Gmail and Calendar and email it out each morning.
Customer Follow-Up: Track customers and prospects owed a reply and flag overdue ones daily.
Issue Triage: Turn customer bugs and requests from email and support chats into deduplicated tracker issues.
Meeting Prep: Build sourced briefs on candidates, guests or investors before you meet.
Inbox Cleanup: Archive mail you never read on a schedule.
Pricing Decisions: Combine call notes and billing data in a shared chat to evaluate a price change.

jackalope.digital

Freemium

Moxie Docs indexes your GitHub repos, generates convention-grounded docs, detects doc drift on every merge, and serves an MCP for coding agents.

Merge-triggered Re-indexing: Every merge triggers a fresh index pass so documentation stays synchronized with the current state of the repo.
Grounded Convention Docs: Generates architecture and convention documentation grounded in the actual source, with deep symbol and import-graph analysis for TypeScript, JavaScript, and Python.
Documentation Drift Detection: Flags pages affected by code changes and regenerates stale documentation with cited diffs so reviewers see what changed and why.
Friday Cleanup PRs: Pro and Team plans automatically open weekly docs-only pull requests so keeping docs current becomes a bounded review, not a rewrite project.
MCP Context Server: Exposes an MCP server so Cursor, Claude Code, and Codex pull verified conventions from Moxie instead of re-crawling the repo each session.
Free Browser-based Doc Utilities: README, AGENTS.md, ADR, .cursorrules, CLAUDE.md, .windsurfrules, Mermaid, SQL-to-ER, and llms.txt generators run in the browser with no account.
Scoped GitHub App: Access is scoped to the repos you select, tokens are encrypted server-side, and code is used only to generate documentation and MCP context.
Broad Language Support: Documentation and search work on any GitHub repo, with recognition for TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, PHP, SQL, Svelte, Vue, Kotlin, Swift, Elixir, and Zig.

Automating living docs: Point Moxie at a private repo so architecture and convention docs stay grounded in the current code without manual rewrites.
Feeding Cursor and Claude Code: Connect the MCP server so coding agents pull verified conventions from Moxie instead of re-crawling the codebase.
Onboarding new engineers: Give a new hire a searchable, always-fresh guide to the codebase with symbol and import-graph context.
Catching doc drift on merge: Fail loudly when a merged PR leaves documentation stale, with cited diffs pointing to what needs to change.
Weekly docs cleanup review: Merge the Friday Cleanup PR each week to keep documentation current as a bounded, review-only workflow.
One-off doc generation: Use the free browser-based generators to draft an AGENTS.md, CLAUDE.md, or llms.txt without signing up.
SQL data-model diagrams: Paste CREATE TABLE SQL to get a live Mermaid ER diagram and optional AI data-model docs.
Cursor Rules authoring: Draft a structured .cursorrules file with live preview and shareable export.