--- title: "DBreeze vs cognee" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hhblaze-dbreeze-vs-topoteretes-cognee" tools: ["hhblaze-dbreeze", "topoteretes-cognee"] --- # DBreeze vs cognee *GraphCanon updated Aug 22, 2026* ## Verdict Pick DBreeze if dBreeze is an ACID-compliant C# .NET database management system that supports key-value storage and offers advanced search features alongside vector layer capabilities; pick cognee if when evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient. [DBreeze](https://github.com/hhblaze/DBreeze) reports 578 GitHub stars, 62 forks, and 1 open issues, last pushed Aug 21, 2026. [cognee](https://www.cognee.ai) has 30k stars, 2.9k forks, and 359 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [DBreeze's repository](https://github.com/hhblaze/DBreeze) and [cognee's repository](https://github.com/topoteretes/cognee). | | [DBreeze](/tools/hhblaze-dbreeze.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Tagline | C# .NET ACID-compliant multi-paradigm database management system | Cognee is the open-source AI memory platform for agents. | | Stars | 578 | 30,121 | | Forks | 62 | 2,937 | | Open issues | 1 | 359 | | Language | C# | Python | | Adopt for | DBreeze is an ACID-compliant C# .NET database management system that supports key-value storage and offers advanced search features alongside vector layer capabilities. | When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause license makes it suitable for commercial and open-source applications without constraints on distribution | Apache-2.0 | | Categories | Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DBreeze](/tools/hhblaze-dbreeze.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Open issues (now) | 1 | 359 | | Stars delta | +1 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | -265 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hhblaze-dbreeze/trust.md) | [trust report](/tools/topoteretes-cognee/trust.md) | ## Decision facts: DBreeze - **Pricing:** freemium - The BSD-2-Clause license under which DBreeze is released allows free usage, but there may be options for paid support or enhanced services not detailed here. - **Adopt for:** DBreeze is an ACID-compliant C# .NET database management system that supports key-value storage and offers advanced search features alongside vector layer capabilities. - **License detail:** BSD-2-Clause license makes it suitable for commercial and open-source applications without constraints on distribution ## Decision facts: cognee - **Adopt for:** When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient ## Choose when ### Choose DBreeze if… - DBreeze is primarily C#; cognee is Python. - License: DBreeze is BSD-2-Clause, cognee is Apache-2.0. - Pricing: The BSD-2-Clause license under which DBreeze is released allows free usage, but there may be options for paid support or enhanced services not detailed here.. - Tags unique to DBreeze: acid, c-sharp, clustering, database. - When developing applications in the C# .NET environment requiring robust, transactional (ACID) support. ### Choose cognee if… - cognee is primarily Python; DBreeze is C#. - License: cognee is Apache-2.0, DBreeze is BSD-2-Clause. - Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph. - Also covers AI Agents. - cognee ships Docker support for self-hosted deployment. - - You are developing AI agents that require persistent long-term memory across different sessions. ## When NOT to use DBreeze - If the project demands real-time scalability and distribution capabilities beyond what an embedded database can offer - In cases where Python, Java, or other non-.NET languages are preferred or required for development. - For environments that need a wider range of external connectivity as DBreeze specializes in embedded use. ## When NOT to use cognee - - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side. ## Common questions ### What is the difference between DBreeze and cognee? DBreeze: C# .NET ACID-compliant multi-paradigm database management system. cognee: Cognee is the open-source AI memory platform for agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose DBreeze over cognee? Choose DBreeze over cognee when DBreeze is primarily C#; cognee is Python; License: DBreeze is BSD-2-Clause, cognee is Apache-2.0; Pricing: The BSD-2-Clause license under which DBreeze is released allows free usage, but there may be options for paid support or enhanced services not detailed here.; Tags unique to DBreeze: acid, c-sharp, clustering, database; When developing applications in the C# .NET environment requiring robust, transactional (ACID) support. ### When should I choose cognee over DBreeze? Choose cognee over DBreeze when cognee is primarily Python; DBreeze is C#; License: cognee is Apache-2.0, DBreeze is BSD-2-Clause; Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; Also covers AI Agents; cognee ships Docker support for self-hosted deployment; - You are developing AI agents that require persistent long-term memory across different sessions. ### When should I avoid DBreeze? If the project demands real-time scalability and distribution capabilities beyond what an embedded database can offer In cases where Python, Java, or other non-.NET languages are preferred or required for development. For environments that need a wider range of external connectivity as DBreeze specializes in embedded use. ### When should I avoid cognee? - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side. ### Is DBreeze or cognee more popular on GitHub? cognee has more GitHub stars (30,121 vs 578). Stars measure visibility, not whether either tool fits your constraints. ### Are DBreeze and cognee open source? Yes - both are open-source projects on GitHub (DBreeze: BSD-2-Clause, cognee: Apache-2.0). ### Where can I find alternatives to DBreeze or cognee? GraphCanon lists graph-backed alternatives at [DBreeze alternatives](/tools/hhblaze-dbreeze/alternatives) and [cognee alternatives](/tools/topoteretes-cognee/alternatives) ([DBreeze markdown twin](/tools/hhblaze-dbreeze/alternatives.md), [cognee markdown twin](/tools/topoteretes-cognee/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/hhblaze-dbreeze-vs-topoteretes-cognee.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DBreeze or cognee? DBreeze: Very active. cognee: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for DBreeze and cognee? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DBreeze trust report](/tools/hhblaze-dbreeze/trust); [cognee trust report](/tools/topoteretes-cognee/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hhblaze-dbreeze`](/api/graphcanon/graph?tool=hhblaze-dbreeze) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_