Cognee

Name: Cognee
Brand: Cognee
Price: 35 USD

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Build AI agents with persistent, structured graph memory

From $35/mo, billed monthly (free plan available)

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Tracked since 2026

The Bottom Line

Updated Oct 27, 2026

Price: From $35/mo, billed monthly (free plan available). Compare plans

Key facts

Provides open-source, persistent memory for AI agents.
Transforms diverse data sources into structured graph memory.
Enables agents to recall context and learn across sessions.

Pros

Provides durable, shared memory for AI agents, improving their consistency and intelligence.
Supports a wide range of data sources and agent frameworks, offering flexibility.
Offers both open-source local development and scalable cloud/on-premise deployment options.
Automatically generates and updates ontologies, keeping knowledge structures fresh.
Ensures data security and compliance with options for private cloud or on-premise deployment.

Cons

Requires integration and configuration with existing agent systems.
The complexity of graph memory and ontology management may have a learning curve for new users.
Scalability and advanced features are primarily available in paid tiers.

What is Cognee?

Cognee is an open-source memory platform designed for AI agents, enabling them to capture context, transform it into graph memory, and recall it consistently across multiple sessions. It addresses the challenge of providing agents with durable, structured knowledge beyond immediate prompts by integrating various data sources like files, databases, APIs, and chat logs. Cognee parses, chunks, embeds, and tracks provenance for all ingested data. The platform models raw data into graph memory by extracting entities, relationships, and domain rules, allowing agents to search by meaning rather than just keyword matching. This memory layer is compatible with various agent frameworks and custom runtimes, ensuring agents can read and write to a shared, persistent knowledge base. Cognee is suitable for individual developers, data and platform teams, and product engineers looking to build intelligent, context-aware agents that improve over time.

Data compiled by Toolradar Pricing checked Oct 27, 2026 · How we evaluate

Source cognee.ai

Preview

Key Features

Context Capture from diverse sources (files, databases, APIs, chat logs)
Automated Parsing, Chunking, and Embedding
Provenance Tracking for all ingested data
Graph Memory Modeling (entities, relationships, ontologies)
Recall Tuning and Permissions Control
Compatibility with leading agent frameworks (e.g., LangGraph, OpenClaw)
Local Development Environment
Automated Ontology Generation and Updates

Pricing Plans

Pricing checked Oct 27, 2026. Source: cognee.ai/pricing, read Oct 27, 2026

Cognee plans and prices, checked October 2026
Plan	Price	Details
Free	Free	Build and run memory workflows with tasks and pipelines Auto-generate knowledge structures from your data Integrated evaluations +2 more Show less More than 28 data sources supported Community support
Developer	$35 / per month	1,000 documents or 1 GB of data included Everything in Free 1 user +5 more Show less Fully hosted on AWS, GCP, and Azure Comprehensive API endpoints Automated scaling and parallel processing Automatic updates 10,000 API calls included
Cloud (Team)	$200 / per month	2,500 documents or 2 GB of data included Everything in Developer 10 users +4 more Show less Multi-tenant architecture Ability to group memories per user and domain Dedicated Slack channel 10,000 API calls included
On-Prem (Enterprise)	Custom	Everything in Cloud On-prem or private cloud deployment Security, data isolation, and optimal latency +4 more Show less Dedicated architecture review Premium Support Plan / SLA Access to AI FDE Engineers Roadmap prioritization

Calculate your cost View full pricing

Is Cognee worth the price?

Good value

Cognee's pricing is fair, offering a generous Free tier for basic experimentation.

The Developer tier at $35/month provides good value for individual developers, while the Cloud (Team) tier at $200/month scales reasonably for small teams. It's best for developers and small teams looking for a hosted, scalable memory platform for AI agents.

Full Cognee pricing: every plan, hidden costs and alternatives

How Cognee's pricing compares

At $35/mo, billed monthly, Cognee is the most premium of its 4 comparable direct competitors.

$19

$19

$19

$25

Cognee

$35

Entry paid plan, monthly price, billed monthly. Pricing checked Oct 27, 2026.

Cognee by the numbers

Toolradar data: Cognee's entry paid plan ($35/mo, billed monthly) ranks #22 of 33 for price among the Knowledge Base tools with a verified entry price and no stated unit, where the median is $19/mo. As of Oct 2026.

Cognee compared with 122 Knowledge Base tools on Toolradar, as of Oct 2026
Metric	Cognee	Peer median	Position (1 is best)
Entry paid plan	$35/mo, billed monthly	$19/mo	#22 of 33 tools with no stated price unit, verified price
Free plan	Yes	61% have one	n/a
Listed as an alternative to	6 tools	1	#27 of 122 (joint)
Compare-page visits, last 30 days	22 visits	35	#32 of 33 tools with 20+ compare-page visits

Visitors most often compare Cognee with Supermemory (last 30 days, Oct 2026).

Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All Knowledge Base data · How we compute this. Advertising and placement fees are not inputs to any position. Visit counts include visits from every source.

Cite this: Toolradar, “Cognee by the numbers”, Oct 2026.

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Cognee FAQ

How does Cognee transform raw data into a usable memory for AI agents?

Cognee captures context from various sources, then processes this raw data by parsing, chunking, and embedding it. It subsequently models this data into a graph memory by extracting entities, relationships, and domain rules, allowing agents to search and recall information based on meaning and context rather than just keyword matches.

What kind of AI agent frameworks or runtimes can integrate with Cognee's memory layer?

Cognee is compatible with various agent frameworks, including Claude Code, LangGraph, OpenClaw, and MCP-compatible clients. It also supports custom runtimes, allowing a broad range of agents to read and write to the same durable memory across sessions.

Can Cognee automatically update its knowledge structures as new data becomes available?

Yes, Cognee continuously updates its ontologies as data changes. This feature ensures that the knowledge structure remains fresh and aligned with the latest information without requiring manual rebuilds or taxonomy updates.

What are the deployment options for Cognee, and what are their primary benefits?

Cognee offers flexible deployment options: users can start locally with the open-source version, scale on Cognee Cloud for serverless operation, or deploy on-premise for dedicated infrastructure, full data control, and enhanced security. The cloud option provides scalability and performance, while on-premise ensures data isolation and compliance.

How does Cognee ensure the security and privacy of the data it manages?

Cognee ensures data security and privacy by encrypting data at rest and in transit. For enterprise clients, it supports air-gapped deployments on private clouds or on-premise, giving organizations complete control over their data and aiding in regulatory compliance like GDPR.

What is the purpose of the 'provenance' feature in Cognee's context capture?

The provenance feature in Cognee tracks the origin and history of captured context. This allows agents to inspect and reuse cited memory, ensuring transparency and enabling them to verify the source of information, which is crucial for building trustworthy and reliable AI systems.

How does Cognee's graph memory approach differ from traditional vector store searches for agents?

Unlike traditional vector stores that primarily rely on nearest chunk searches, Cognee's graph memory extracts entities, relationships, and domain rules. This enables agents to search by meaning and understand the connections between pieces of information, leading to more accurate and contextually relevant recall.

Can I customize the data model or ontologies within Cognee for specific domain needs?

Yes, Cognee allows for customization of both custom ontologies and custom data models. This flexibility enables users to tailor the memory structure to their specific domain rules and business needs, ensuring the agent's knowledge base is highly relevant and accurate.

How does Cognee pricing compare with other Knowledge Base tools?

Cognee's entry paid plan ($35/mo, billed monthly) ranks #22 of 33 for price among the Knowledge Base tools with a verified entry price and no stated unit, where the median is $19/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Oct 2026.

Source: cognee.ai

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