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Cognee vs Lanes
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 Lanes
Detail C
Cognee
Lanes
What it does Open-source memory platform for AI agents
Run your agentic fleet at scale
Stage Not given
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Founded Not given
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Based in DE
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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: $0 per month for 1 user. Pro: $19/month for up to 10 members. Enterprise: custom pricing.
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
Run multiple coding agents in parallel on separate git worktrees and branches Task board with live terminals for each agent session Access Profiles to control permissions for each agent Integration with 100+ providers Audit logs of all agent actions and refusals Self-hostable access layer On-demand GPU compute by the second Local-first execution keeping source code and output on user's machine Support for Claude Code, Codex, and other agentic clients
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-source access layer under Apache-2.0 so you can read the security model Enforce access permissions at the system level, not through prompts Centralized access control across all agents and platforms simultaneously Keep data portable with plain files on your own disk, no vendor lock-in Complete audit visibility of what every agent accessed and was denied
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Open source Not given
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Community votes 0 0
DR (Domain Rating by Ahrefs)70 ● no change since last check 7 ● no change since last check
Trust Flow (Majestic) 14 6
Citation Flow (Majestic) 43 39
Referring domains (Majestic) 1089 192
4 details filled in for both companies.
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