--- title: "cognee vs Keras-TextClassification" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/topoteretes-cognee-vs-yongzhuo-keras-textclassification" tools: ["topoteretes-cognee", "yongzhuo-keras-textclassification"] --- # cognee vs Keras-TextClassification *GraphCanon updated Jul 11, 2026* ## Verdict Pick cognee when license: cognee is Apache-2.0, Keras-TextClassification is MIT; pick Keras-TextClassification when license: Keras-TextClassification is MIT, cognee is Apache-2.0. [cognee](https://www.cognee.ai) reports 28k GitHub stars, 2.7k forks, and 620 open issues, last pushed Jul 11, 2026. [Keras-TextClassification](https://blog.csdn.net/rensihui) has 1.8k stars, 398 forks, and 4 open issues, last pushed Jun 17, 2024. Figures are from public GitHub metadata via [cognee's repository](https://github.com/topoteretes/cognee) and [Keras-TextClassification's repository](https://github.com/yongzhuo/Keras-TextClassification). | | [cognee](/tools/topoteretes-cognee.md) | [Keras-TextClassification](/tools/yongzhuo-keras-textclassification.md) | | --- | --- | --- | | Tagline | Cognee is the open-source AI memory platform for agents. | 中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RC | | Stars | 27,564 | 1,811 | | Forks | 2,737 | 398 | | Open issues | 620 | 4 | | Language | Python | Python | | 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 | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Vector Databases | Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cognee](/tools/topoteretes-cognee.md) | [Keras-TextClassification](/tools/yongzhuo-keras-textclassification.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 753d | | Open issues (now) | 620 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/topoteretes-cognee/trust.md) | [trust report](/tools/yongzhuo-keras-textclassification/trust.md) | ## 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 cognee if… - License: cognee is Apache-2.0, Keras-TextClassification is MIT. - 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. ### Choose Keras-TextClassification if… - License: Keras-TextClassification is MIT, cognee is Apache-2.0. - Tags unique to Keras-TextClassification: albert, bert, capsule, charcnn. - Also covers Model Training. ## 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. ## When NOT to use Keras-TextClassification - Last GitHub push was 754 days ago (dormant maintenance, Jun 17, 2024). Validate activity before betting a new project on Keras-TextClassification. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between cognee and Keras-TextClassification? cognee: Cognee is the open-source AI memory platform for agents.. Keras-TextClassification: 中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RC. See the comparison table for live GitHub stats and shared categories. ### When should I choose cognee over Keras-TextClassification? Choose cognee over Keras-TextClassification when License: cognee is Apache-2.0, Keras-TextClassification is MIT; 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 choose Keras-TextClassification over cognee? Choose Keras-TextClassification over cognee when License: Keras-TextClassification is MIT, cognee is Apache-2.0; Tags unique to Keras-TextClassification: albert, bert, capsule, charcnn; Also covers Model Training. ### 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. ### When should I avoid Keras-TextClassification? Last GitHub push was 754 days ago (dormant maintenance, Jun 17, 2024). Validate activity before betting a new project on Keras-TextClassification. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is cognee or Keras-TextClassification more popular on GitHub? cognee has more GitHub stars (27,564 vs 1,811). Stars measure visibility, not whether either tool fits your constraints. ### Are cognee and Keras-TextClassification open source? Yes - both are open-source projects on GitHub (cognee: Apache-2.0, Keras-TextClassification: MIT). ### Where can I find alternatives to cognee or Keras-TextClassification? GraphCanon lists graph-backed alternatives at [cognee alternatives](/tools/topoteretes-cognee/alternatives) and [Keras-TextClassification alternatives](/tools/yongzhuo-keras-textclassification/alternatives) ([cognee markdown twin](/tools/topoteretes-cognee/alternatives.md), [Keras-TextClassification markdown twin](/tools/yongzhuo-keras-textclassification/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/topoteretes-cognee-vs-yongzhuo-keras-textclassification.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cognee or Keras-TextClassification? cognee: Very active. Keras-TextClassification: Dormant. 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 cognee and Keras-TextClassification? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cognee trust report](/tools/topoteretes-cognee/trust); [Keras-TextClassification trust report](/tools/yongzhuo-keras-textclassification/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=topoteretes-cognee`](/api/graphcanon/graph?tool=topoteretes-cognee) - 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/_