Cognee
Cognee: Graph-based agent memory with cloud or self-hosted deployment and usage pricing. Ranked #5 of 34 in AI Agent Memory Tools by our editors (7.7/10); pricing: Free plan; best for teams building knowledge-graph agent memory.
At a glance
- Editor score7.7 / 10
- PricingFree plan
- Best forTeams building knowledge-graph agent memory
- Free planYes
- Paid from$1/unit usage-based
- Semantic memoryYes
- Facts checked13 Oct 2026
Where it wins
- Transforms varied data into searchable entities-and-relationships graphs
- Supports natural-language, temporal, completion, and chunk searches
- Offers open-source self-hosting plus managed Cognee Cloud
Where it doesn't
- Usage-based billing can make monthly costs harder to forecast
- BYOC and dedicated support are available only on Enterprise
- Graph-centered workflows may exceed the needs of simple memory stores
Our verdict on Cognee
Cognee is an open-source memory engine and knowledge-graph platform for developers building AI agents and other AI applications. It ingests text, documents, and structured data, then processes them into graphs with entities, relationships, and embeddings. Agents can share graph memory across sessions, while search supports natural-language and structured queries. Teams can run the open-source engine locally or on their own infrastructure, or use Cognee Cloud for managed hosting and configurable graphs, prompts, and ontologies.
The Free plan costs $0 per month and includes 1M tokens, one workspace, unlimited users, unlimited API calls, and no card requirement. Standard uses usage billing at $1 per 1M tokens processed and adds data-source integrations, code indexing, and in-app support; additional workspaces cost $5 each per month. Enterprise adds BYOC deployment, a dedicated support engineer, a support SLA, and personalization per user and agent. This structure suits teams that want to start without a subscription, while token volume and workspace needs should guide budgeting.
Cognee connects with Slack, Notion, Linear, Google Drive, Claude Code, Codex, and MCP, and exposes web, API, and self-hosted deployment options. Its standout breadth is search: graph completion, chunk retrieval, temporal search, deletion of data items or datasets, and custom graph structures support varied agent-memory designs. Support is available through email, community resources, and documentation. Choose Cognee when shared, graph-based memory and deployment control matter; teams seeking a narrowly scoped key-value memory layer may prefer a simpler tool.
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Cognee pricing
All 3 Cognee plans and prices →
Cognee fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $1/unit usage-based |
| Semantic memory | Yes |
| Episodic memory | Not verified |
| User/profile memory | Yes |
| Graph-based memory | Yes |
| Deployment options | Both |
| SDK languages | Not verified |
| Retention policy | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: Slack, Notion, Linear, Google Drive, Claude Code, Codex … |
| Pricing | Free plan (source) |
| Website | cognee.ai |
| Facts checked | 13 Oct 2026 |
Cognee integrations
Cognee lists 7 integrations on its own site.
- Slack
- Notion
- Linear
- Google Drive
- Claude Code
- Codex
- MCP
Alternatives to Cognee
- Cloudflare Agent MemoryA cloud API for scoped, searchable memory across AI agent profiles and conversations.9.2
- Mem0A flexible memory layer with semantic, graph, and self-hosted deployment options.8.8
- MCP Memory ServiceA broad open-source memory layer for teams that can manage deployment and configuration.7.9
Cognee vs the competition
- Cognee vs Cloudflare Agent Memory
- Cognee vs Mem0
- Cognee vs MCP Memory Service
- Cognee vs Hindsight
- Cognee vs MemOS
- Cognee vs Engrama
Compare Cognee with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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