Skip to content
Sign in Submit your app

Isonapse vs Cognee

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

Isonapse compared with Cognee
DetailIsonapse logo Isonapse Cognee
What it doesThe governance layer for AI agents Open-source memory platform for AI agents
StageMVP Not given
Founded2026 Not given
Based inCH DE
Pricing modelNot given Not given
PricingAgent Hook for Claude Code (public beta, available now), Community Edition (public beta, early September 2026, free), Enterprise Edition (Q4 2026) 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
  • Policy-based rule definition for agent actions
  • Checkpoint enforcement before every action
  • Tamper-evident signed audit ledger
  • Vendor-neutral across models and harnesses
  • Deterministic decision-making without LLMs
  • Offline enforcement without network connectivity
  • Budget caps and cost control
  • Data tokenization and secret placeholder support
  • One-click installation for Claude Code
  • 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
  • Neutral layer enforcing policies across any agent, model, or harness
  • Self-hosted on your hardware with no telemetry or cloud dependency
  • Cryptographically verified audit trail you can check offline
  • 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 planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)5 +5 (up) since last check70 no change since last check
Trust Flow (Majestic)914
Citation Flow (Majestic)2443
Referring domains (Majestic)641089

5 details filled in for both companies.

More alternatives to Isonapse More alternatives to Cognee

Get help