Cognee vs Aether

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

Cognee compared with Aether
Detail	Cognee	Aether
What it does	Open-source memory platform for AI agents	Cloud agents you can watch, on the AI you already pay for
Stage	Not given	Not given
Founded	Not given	Not given
Based in	DE	US
Pricing model	Not given	Freemium
Pricing	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.	Free plan with 20 credits/month (about 4 hours of machine time). Starter at $30/mo with 400 credits/month (about 80 hours). Pro at $75/mo with 2,000 credits/month (about 400 hours). Max at $120/mo with 4,000 credits/month (about 800 hours). 1 credit equals 12 minutes on default Small devbox. Medium
Key features	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	Watch cloud agents in real-time with live terminal and file tree Automated PR reviews with before/after screenshots Video recording of agent actions Scheduled automations daily or weekly Live port previews for each port the agent opens REST and WebSocket API for tasks and automations Isolated Firecracker microVMs per task Skills from repository SKILL.md files Reply by email to pause and resume agent tasks
What makes it different	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	Open devboxes you can watch, not sealed boxes Runs on your own AI provider account with no second bill Pay only for compute, with no per-task fees or surprises Code never used for training Machines destroyed after use, never reused
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)	70 no change since last check	31 no change since last check
Trust Flow (Majestic)	14	7
Citation Flow (Majestic)	43	22
Referring domains (Majestic)	1089	48

5 details filled in for both companies.

More alternatives to Cognee More alternatives to Aether