--- title: "TencentDB-Agent-Memory vs cognee" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tencentcloud-tencentdb-agent-memory-vs-topoteretes-cognee" tools: ["tencentcloud-tencentdb-agent-memory", "topoteretes-cognee"] --- # TencentDB-Agent-Memory vs cognee *GraphCanon updated Aug 19, 2026* ## Verdict Pick TencentDB-Agent-Memory if tencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies; 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. [TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) reports 9.2k GitHub stars, 871 forks, and 335 open issues, last pushed Jul 22, 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 [TencentDB-Agent-Memory's repository](https://github.com/TencentCloud/TencentDB-Agent-Memory) and [cognee's repository](https://github.com/topoteretes/cognee). | | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Tagline | Fully local long-term memory for AI Agents via 4-tier pipeline | Cognee is the open-source AI memory platform for agents. | | Stars | 9,234 | 30,121 | | Forks | 871 | 2,937 | | Open issues | 335 | 359 | | Language | TypeScript | Python | | Adopt for | TencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies. | 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 | Other | Apache-2.0 | | Categories | AI Agents, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 335 | 359 | | Stars delta | Unknown | +1.5k (30d) | | Open issues delta | Unknown | -265 (30d) | | Full report | [trust report](/tools/tencentcloud-tencentdb-agent-memory/trust.md) | [trust report](/tools/topoteretes-cognee/trust.md) | ## Decision facts: TencentDB-Agent-Memory - **Adopt for:** TencentDB-Agent-Memory offers fully local long-term memory capabilities for AI agents with a specialized 4-tier pipeline, ensuring no reliance on external API dependencies. ## 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 TencentDB-Agent-Memory if… - TencentDB-Agent-Memory is primarily TypeScript; cognee is Python. - License: TencentDB-Agent-Memory is Other, cognee is Apache-2.0. - Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, llm. - You are prioritizing data sovereignty and need to ensure all memory functions operate locally without internet connectivity or external service dependence. ### Choose cognee if… - cognee is primarily Python; TencentDB-Agent-Memory is TypeScript. - License: cognee is Apache-2.0, TencentDB-Agent-Memory is Other. - Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph. - 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 TencentDB-Agent-Memory - If your application involves frequent synchronization of memory content across multiple environments, as this tool is designed for local operations only. - In scenarios where accessing a large-scale distributed database is necessary because TencentDB-Agent-Memory is built around standalone local capabilities. ## 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 TencentDB-Agent-Memory and cognee? TencentDB-Agent-Memory: Fully local long-term memory for AI Agents via 4-tier pipeline. 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 TencentDB-Agent-Memory over cognee? Choose TencentDB-Agent-Memory over cognee when TencentDB-Agent-Memory is primarily TypeScript; cognee is Python; License: TencentDB-Agent-Memory is Other, cognee is Apache-2.0; Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, llm; You are prioritizing data sovereignty and need to ensure all memory functions operate locally without internet connectivity or external service dependence. ### When should I choose cognee over TencentDB-Agent-Memory? Choose cognee over TencentDB-Agent-Memory when cognee is primarily Python; TencentDB-Agent-Memory is TypeScript; License: cognee is Apache-2.0, TencentDB-Agent-Memory is Other; Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; 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 TencentDB-Agent-Memory? If your application involves frequent synchronization of memory content across multiple environments, as this tool is designed for local operations only. In scenarios where accessing a large-scale distributed database is necessary because TencentDB-Agent-Memory is built around standalone local capabilities. ### 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 TencentDB-Agent-Memory or cognee more popular on GitHub? cognee has more GitHub stars (30,121 vs 9,234). Stars measure visibility, not whether either tool fits your constraints. ### Are TencentDB-Agent-Memory and cognee open source? Yes - both are open-source projects on GitHub (TencentDB-Agent-Memory: Other, cognee: Apache-2.0). ### Where can I find alternatives to TencentDB-Agent-Memory or cognee? GraphCanon lists graph-backed alternatives at [TencentDB-Agent-Memory alternatives](/tools/tencentcloud-tencentdb-agent-memory/alternatives) and [cognee alternatives](/tools/topoteretes-cognee/alternatives) ([TencentDB-Agent-Memory markdown twin](/tools/tencentcloud-tencentdb-agent-memory/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/tencentcloud-tencentdb-agent-memory-vs-topoteretes-cognee.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TencentDB-Agent-Memory or cognee? TencentDB-Agent-Memory: 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 TencentDB-Agent-Memory and cognee? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TencentDB-Agent-Memory trust report](/tools/tencentcloud-tencentdb-agent-memory/trust); [cognee trust report](/tools/topoteretes-cognee/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tencentcloud-tencentdb-agent-memory`](/api/graphcanon/graph?tool=tencentcloud-tencentdb-agent-memory) - 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/_