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

A side-by-side comparison of GBrain and Olostep — 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.

Olostep Technologies

Freemium

A single web data API for AI agents that scrapes, crawls, maps, searches, answers, and monitors sites, returning clean Markdown, HTML, or JSON.

Unified Web Data API: Seven endpoints — scrapes, crawls, maps, batches, searches, answers, and monitors — behind one object-oriented client instead of separate services.
Clean Format Output: Returns any URL as Markdown, HTML, screenshots, or structured JSON so content is immediately usable as LLM context.
Site Crawling with URL Globs: Retrieve every page on a site with max-page limits and include/exclude glob patterns, then iterate pages and fetch content per page.
Batch Processing: Process up to 100,000 URLs in roughly five to seven minutes for large enrichment and indexing jobs.
Natural-Language Search and Answers: Query the web in plain language for ranked links, or use the answers endpoint to get an AI-composed response with sources.
Web Monitors: Set up monitors that fire when something changes across the web, such as a company publishing a new blog post.
JS Rendering with Residential IPs: All requests, including those on the free trial, are JavaScript-rendered and routed through residential IP addresses.
Agent-Native Access: Native Python and Node.js SDKs plus an MCP server and CLI so coding agents and AI tools can call Olostep directly.

RAG Pipeline Ingestion: Crawl documentation sites and convert every page to clean Markdown for embedding into a retrieval index.
Agent Web Browsing: Give an autonomous agent reliable read access to any URL through an MCP server rather than a brittle custom scraper.
Lead and Company Enrichment: Batch-process tens of thousands of company URLs to extract structured firmographic data.
Competitive Monitoring: Watch competitor blogs, changelogs, and pricing pages and get notified when they change.
Real-Time Research: Run natural-language searches and pull AI-generated answers with source links inside an application.
Price and Catalog Tracking: Scrape ecommerce listings on a schedule to keep an internal pricing dataset current.