Comparison
TencentDB-Agent-Memory vs automem
Verdict
Pick TencentDB-Agent-Memory if tencentDB-Agent-Memory is a team-level memory hub for AI Agents, designed to transform conversations, documents, and code into reusable memory assets, including chat memory, skills, LLM-Wiki, and code-graph; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Markdown twin · TencentDB-Agent-Memory alternatives · automem alternatives
GraphCanon updated Sep 20, 2026
19views this month
vs
Trust & integrity
| Signal | TencentDB-Agent-Memory | automem |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (9d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- TencentDB-Agent-Memory
- A team-level memory hub for AI Agents, transforming conversations, documents, and code into reusable memory assets.
- automem
- Graph-vector memory service for durable, relational AI assistant memory
Stars
- TencentDB-Agent-Memory
- 27k
- automem
- 813
Forks
- TencentDB-Agent-Memory
- 2.6k
- automem
- 105
Open issues
- TencentDB-Agent-Memory
- 781
- automem
- 12
Language
- TencentDB-Agent-Memory
- TypeScript
- automem
- Python
Adopt for
- TencentDB-Agent-Memory
- TencentDB-Agent-Memory is a team-level memory hub for AI Agents, designed to transform conversations, documents, and code into reusable memory assets, including chat memory, skills, LLM-Wiki, and code-graph.
- automem
- AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Persona
- TencentDB-Agent-Memory
- -
- automem
- -
Runtime
- TencentDB-Agent-Memory
- -
- automem
- -
License
- TencentDB-Agent-Memory
- The license for TencentDB-Agent-Memory is categorized as 'Other', indicating a license that is not standard or widely recognized.
- automem
- AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met.
Last pushed
- TencentDB-Agent-Memory
- Sep 18, 2026
- automem
- Sep 10, 2026
Categories
- TencentDB-Agent-Memory
- AI Agents, Vector Databases
- automem
- AI Agents, Vector Databases
Trust and health
Maintenance
- TencentDB-Agent-Memory
- Very active (96%)
- automem
- Active (82%)
Days since push
- TencentDB-Agent-Memory
- 0d
- automem
- 9d
Open issues (now)
- TencentDB-Agent-Memory
- 781
- automem
- 12
Stars delta
- TencentDB-Agent-Memory
- +18k (30d)
- automem
- +20 (30d)
Open issues delta
- TencentDB-Agent-Memory
- +446 (30d)
- automem
- +1 (30d)
Full report
- TencentDB-Agent-Memory
- Trust report
- automem
- Trust report
Choose TencentDB-Agent-Memory if…
- TencentDB-Agent-Memory is primarily TypeScript; automem is Python.
- License: TencentDB-Agent-Memory is Other, automem is MIT.
- Pricing: The tool is free to use, but premium features or support may come at an additional cost..
- Requirements: Min 4 GB RAM; Requires Docker; The MongoDB storage backend is experimental and off by default, which may affect the tool's performance and reliability in certain scenarios..
- Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, local-first.
- Use TencentDB-Agent-Memory when you need a tool that can manage memory assets for AI Agents, particularly in a team setting where governance, sharing, and equipping across agents and frameworks are a须
When NOT to use TencentDB-Agent-Memory
- Avoid using TencentDB-Agent-Memory if your project does not require the management of memory assets such as chat memory, skills, LLM-Wiki, and code-graph.
- Do not use this tool if you are looking for a solution that does not support TypeScript or requires a different license type.
Choose automem if…
- automem is primarily Python; TencentDB-Agent-Memory is TypeScript.
- License: automem is MIT, TencentDB-Agent-Memory is Other.
- Pricing: Free for open-source use, with no explicit commercial licensing information provided..
- Tags unique to automem: ai-memory, anthropic, falkordb, graph-database.
- automem ships Docker support for self-hosted deployment.
- Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
When NOT to use automem
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead.
- If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (TencentCloud/TencentDB-Agent-Memory) · observed Sep 20, 2026
- GitHub forks (TencentCloud/TencentDB-Agent-Memory) · observed Sep 20, 2026
- Last push (TencentCloud/TencentDB-Agent-Memory) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (verygoodplugins/automem) · observed Sep 20, 2026
- GitHub forks (verygoodplugins/automem) · observed Sep 20, 2026
- Last push (verygoodplugins/automem) · observed Sep 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TencentDB-Agent-Memory 27k · automem 813 (synced Sep 20, 2026).
Common questions
- What is the difference between TencentDB-Agent-Memory and automem?
- TencentDB-Agent-Memory: A team-level memory hub for AI Agents, transforming conversations, documents, and code into reusable memory assets.. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories.
- When should I choose TencentDB-Agent-Memory over automem?
- Choose TencentDB-Agent-Memory over automem when TencentDB-Agent-Memory is primarily TypeScript; automem is Python; License: TencentDB-Agent-Memory is Other, automem is MIT; Pricing: The tool is free to use, but premium features or support may come at an additional cost.; Requirements: Min 4 GB RAM; Requires Docker; The MongoDB storage backend is experimental and off by default, which may affect the tool's performance and reliability in certain scenarios.; Tags unique to TencentDB-Agent-Memory: agent, ai-agent, embedding, local-first; Use TencentDB-Agent-Memory when you need a tool that can manage memory assets for AI Agents, particularly in a team setting where governance, sharing, and equipping across agents and frameworks are a须.
- When should I choose automem over TencentDB-Agent-Memory?
- Choose automem over TencentDB-Agent-Memory when automem is primarily Python; TencentDB-Agent-Memory is TypeScript; License: automem is MIT, TencentDB-Agent-Memory is Other; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; automem ships Docker support for self-hosted deployment; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
- When should I avoid TencentDB-Agent-Memory?
- Avoid using TencentDB-Agent-Memory if your project does not require the management of memory assets such as chat memory, skills, LLM-Wiki, and code-graph. Do not use this tool if you are looking for a solution that does not support TypeScript or requires a different license type.
- When should I avoid automem?
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
- Is TencentDB-Agent-Memory or automem more popular on GitHub?
- TencentDB-Agent-Memory has more GitHub stars (26,924 vs 813). Stars measure visibility, not whether either tool fits your constraints.
- Are TencentDB-Agent-Memory and automem open source?
- Yes - both are open-source projects on GitHub (TencentDB-Agent-Memory: Other, automem: MIT).
- Where can I find alternatives to TencentDB-Agent-Memory or automem?
- GraphCanon lists graph-backed alternatives at TencentDB-Agent-Memory alternatives and automem alternatives (TencentDB-Agent-Memory markdown twin, automem markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, TencentDB-Agent-Memory or automem?
- TencentDB-Agent-Memory: Very active. automem: 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 automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TencentDB-Agent-Memory trust report; automem trust report.