Grabbit vs Cognee

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Grabbit compared with Cognee
Detail	Grabbit	Cognee
What it does	The agent-first screenshot API	Open-source memory platform for AI agents
Stage	Not given	Not given
Founded	2026	Not given
Based in	US	DE
Pricing model	Paid	Not given
Pricing	$0.002 per grab, flat rate. Annual plan: $50/year for 25,000 grabs. Prepaid top-ups available: $50 for 25,000 grabs, $100 for 50,000 grabs, $250 for 125,000 grabs. Credits do not expire while account remains active.	Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
Key features	Full-page or fixed-viewport capture PNG, JPEG, or WebP output formats Cookie-consent dismissal Wait for selector or delay Async with signed webhooks SSRF-guarded and idempotent One-line CLI install Hosted MCP server Hosted CDN delivery	Unified vector search, knowledge graphs, and relational storage Automatic knowledge graph generation from data sources Multi-tenant support with isolated workspaces Data source integrations (Slack, Notion, Google Drive, GitHub, etc.) Self-improving memory that learns from use Multiple deployment options (cloud, self-hosted, air-gapped) Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP) Support for multiple vector and graph databases GDPR compliance and encryption at rest and in transit Built-in graph visualization of company brain
What makes it different	Agent-first design with CLI and MCP integration Test keys return free placeholders for development Built by Twilio infrastructure leaders Handles cookie banners and lazy-loaded content automatically	Combines vectors with graph relationships and generated data models for connected context retrieval State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens) Keeps memory costs flat as data grows compared to baseline LLM approaches Fully open-source with no database lock-in Updates memory as source data changes, not just static snapshots
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	4 +1 (up) since last check	70 no change since last check
Trust Flow (Majestic)	11	14
Citation Flow (Majestic)	32	43
Referring domains (Majestic)	296	1089

5 details filled in for both companies.

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