SiteList review score
Clear positioning and strong site structure for AI teams. A slow mobile homepage and dense copy make the product harder to assess quickly.
Reviewed on Sep 4, 2026
cognee.ai
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Claim itWhat it does
Cognee is an open-source memory platform for AI agents that unifies vector search, knowledge graphs, and relational storage into a single engine to turn data into connected, queryable memory across sessions.
SiteList review score
Clear positioning and strong site structure for AI teams. A slow mobile homepage and dense copy make the product harder to assess quickly.
Reviewed on Sep 4, 2026
Verified user rating
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Captured during our latest review on Sep 4, 2026
Pay $2.50 per 1M tokens processed; $5 per additional workspace per month. Billed monthly.
| Plan | Price | Details |
|---|---|---|
| Free | $0 monthly per tokens | 1 workspace and 1M tokens included — no card required. 1M tokens included · 1 workspace · Unlimited users · Unlimited API calls · Agentic integrations (Claude Code, Codex, MCP) View source |
| Standard | $2.5 monthly per tokens | Pay only for the tokens you process + $5 per additional workspace. Unlimited workspaces — $5 each per month · Data source integrations: Slack, Notion, Linear, Google Drive · Code indexing for your repos · In-app support View source |
| Enterprise | $0 monthly per tokens | BYOC engagement: your own cloud, dedicated support, and SLAs for memory at scale. Bi-temporal memory & conflict resolution · Provenance on every answer · Personalization per user & agent · Dedicated Slack channel · Dedicated support engineer · BYO cloud supported · Support SLA View source |
Memory-native API
developer tools
Four core verbs (remember, recall, forget, improve) provide a unified interface for persistent agent memory across SDK, HTTP, and MCP.
Self-improving memory
agent memory
Memory learns from new data and interactions to improve retrieval accuracy over time.
Multi-tenant workspaces
multi-user
Isolated workspaces and per-session memory allow serving many users or customers from one deployment.
Bi-temporal memory & conflict resolution
enterprise features
Tracks historical states and resolves conflicts for accurate long-term context in enterprise deployments.
Distributed processing
data processing
Enables parallel execution on remote infrastructure to process large datasets efficiently.
Agent memory
Provides persistent long-term memory for AI agents across sessions.
GraphRAG pipelines
Builds ontology-grounded knowledge graphs for retrieval-augmented generation.
Customer support agents
Powers internal copilots and support agents with connected context.
Claude Code
developer tools
MCP-compatible coding assistant integration for agent memory.
Cursor
developer tools
AI-powered IDE integration for persistent code context.
LangGraph
automation
Framework integration for building stateful, multi-actor applications.
n8n
automation
Workflow automation platform integration for agent memory workflows.
CrewAI
developer tools
Multi-agent framework integration for shared context.
OpenAI Agents SDK
developer tools
Official SDK integration for persistent memory in OpenAI agents.
Google ADK
developer tools
Google Agent Development Kit integration for agent memory.
Slack
communication
Data source integration for ingesting conversation history.
Notion
storage
Data source integration for ingesting documentation and notes.
Linear
CRM
Data source integration for ingesting project management data.
Google Drive
storage
Data source integration for ingesting documents and files.
cognee is an open-source memory platform for AI agents. It unifies vector search, knowledge graphs, and relational storage into one engine, turning your data into connected, queryable memory that agents can recall across sessions.
Yes. On Cognee Cloud, memory is self-improving — it learns from new data and interactions so retrieval gets more accurate as your agents are used.
Product FAQ information · View source
Cognee scores 75/100 for its open-source agent memory platform, with strong positioning, usability, design execution, and technical SEO. Its most material weaknesses are a 9.2-second mobile LCP and dense, difficult-to-scan copy across commercial, documentation, and blog pages.
75/100: strong platform, with performance and clarity gaps
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