Home/Compare/memory-os vs TencentDB-Agent-Memory

Comparison

memory-os vs TencentDB-Agent-Memory

Verdict

Pick memory-os if memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database; 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.

Markdown twin · memory-os alternatives · TencentDB-Agent-Memory alternatives

GraphCanon updated Sep 20, 2026

11views this month

memory-os logo

memory-os

ClaudioDrews/memory-os

★ 1.4kpushed Jun 10, 2026
vs
TencentDB-Agent-Memory logo

TencentDB-Agent-Memory

TencentCloud/TencentDB-Agent-Memory

★ 27kpushed Sep 18, 2026

Trust & integrity

Signalmemory-osTencentDB-Agent-Memory
Maintenance
Slowing (101d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

memory-os
A 7-layer memory operating system for Hermes Agent with persistent memory and context injection
TencentDB-Agent-Memory
A team-level memory hub for AI Agents, transforming conversations, documents, and code into reusable memory assets.

Stars

memory-os
1.4k
TencentDB-Agent-Memory
27k

Forks

memory-os
128
TencentDB-Agent-Memory
2.6k

Open issues

memory-os
9
TencentDB-Agent-Memory
781

Language

memory-os
Python
TencentDB-Agent-Memory
TypeScript

Adopt for

memory-os
Memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database.
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.

Persona

memory-os
-
TencentDB-Agent-Memory
-

Runtime

memory-os
-
TencentDB-Agent-Memory
-

License

memory-os
MIT
TencentDB-Agent-Memory
The license for TencentDB-Agent-Memory is categorized as 'Other', indicating a license that is not standard or widely recognized.

Last pushed

memory-os
Jun 10, 2026
TencentDB-Agent-Memory
Sep 18, 2026

Categories

memory-os
AI Agents, Vector Databases
TencentDB-Agent-Memory
AI Agents, Vector Databases

Trust and health

Maintenance

memory-os
Slowing (36%)
TencentDB-Agent-Memory
Very active (96%)

Days since push

memory-os
101d
TencentDB-Agent-Memory
0d

Open issues (now)

memory-os
9
TencentDB-Agent-Memory
781

Stars delta

memory-os
+75 (30d)
TencentDB-Agent-Memory
+18k (30d)

Open issues delta

memory-os
+2 (30d)
TencentDB-Agent-Memory
+446 (30d)

Owner type

memory-os
User
TencentDB-Agent-Memory
Organization

Full report

memory-os
Trust report
TencentDB-Agent-Memory
Trust report

Choose memory-os if…

  • memory-os is primarily Python; TencentDB-Agent-Memory is TypeScript.
  • License: memory-os is MIT, TencentDB-Agent-Memory is Other.
  • Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth.
  • - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.

When NOT to use memory-os

  • - If you are looking for a completely cloud-managed service without any local setup or maintenance needs.
  • - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.

Choose TencentDB-Agent-Memory if…

  • TencentDB-Agent-Memory is primarily TypeScript; memory-os is Python.
  • License: TencentDB-Agent-Memory is Other, memory-os 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, llm.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: memory-os 1.4k · TencentDB-Agent-Memory 27k (synced Sep 20, 2026).

Common questions

What is the difference between memory-os and TencentDB-Agent-Memory?
memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. TencentDB-Agent-Memory: A team-level memory hub for AI Agents, transforming conversations, documents, and code into reusable memory assets.. See the comparison table for live GitHub stats and shared categories.
When should I choose memory-os over TencentDB-Agent-Memory?
Choose memory-os over TencentDB-Agent-Memory when memory-os is primarily Python; TencentDB-Agent-Memory is TypeScript; License: memory-os is MIT, TencentDB-Agent-Memory is Other; Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
When should I choose TencentDB-Agent-Memory over memory-os?
Choose TencentDB-Agent-Memory over memory-os when TencentDB-Agent-Memory is primarily TypeScript; memory-os is Python; License: TencentDB-Agent-Memory is Other, memory-os 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, llm; 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 avoid memory-os?
- If you are looking for a completely cloud-managed service without any local setup or maintenance needs. - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.
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.
Is memory-os or TencentDB-Agent-Memory more popular on GitHub?
TencentDB-Agent-Memory has more GitHub stars (26,924 vs 1,366). Stars measure visibility, not whether either tool fits your constraints.
Are memory-os and TencentDB-Agent-Memory open source?
Yes - both are open-source projects on GitHub (memory-os: MIT, TencentDB-Agent-Memory: Other).
Where can I find alternatives to memory-os or TencentDB-Agent-Memory?
GraphCanon lists graph-backed alternatives at memory-os alternatives and TencentDB-Agent-Memory alternatives (memory-os markdown twin, TencentDB-Agent-Memory 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, memory-os or TencentDB-Agent-Memory?
memory-os: Slowing. TencentDB-Agent-Memory: 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 memory-os and TencentDB-Agent-Memory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memory-os trust report; TencentDB-Agent-Memory trust report.

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