Comparison
memvid vs TencentDB-Agent-Memory
Verdict
Pick memvid if memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency; 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.
Markdown twin · memvid alternatives · TencentDB-Agent-Memory alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | memvid | TencentDB-Agent-Memory |
|---|---|---|
| Maintenance | Steady (34d since push) As of Aug 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 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
- memvid
- Memory layer for AI Agents
- TencentDB-Agent-Memory
- A team-level memory hub for AI Agents, transforming conversations, documents, and code into reusable memory assets.
Stars
- memvid
- 16k
- TencentDB-Agent-Memory
- 27k
Forks
- memvid
- 1.4k
- TencentDB-Agent-Memory
- 2.6k
Open issues
- memvid
- 34
- TencentDB-Agent-Memory
- 781
Language
- memvid
- Rust
- TencentDB-Agent-Memory
- TypeScript
Adopt for
- memvid
- Memvid is a Rust-based serverless memory layer that offers instant retrieval and long-term capabilities for AI agents, focusing on simplicity and efficiency.
- 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
- memvid
- -
- TencentDB-Agent-Memory
- -
Runtime
- memvid
- -
- TencentDB-Agent-Memory
- -
License
- memvid
- Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software.
- 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
- memvid
- Jul 14, 2026
- TencentDB-Agent-Memory
- Sep 18, 2026
Categories
- memvid
- AI Agents, Vector Databases
- TencentDB-Agent-Memory
- AI Agents, Vector Databases
Trust and health
Maintenance
- memvid
- Steady (60%)
- TencentDB-Agent-Memory
- Very active (96%)
Days since push
- memvid
- 34d
- TencentDB-Agent-Memory
- 0d
Open issues (now)
- memvid
- 34
- TencentDB-Agent-Memory
- 781
Stars delta
- memvid
- +398 (30d)
- TencentDB-Agent-Memory
- +18k (30d)
Open issues delta
- memvid
- +13 (30d)
- TencentDB-Agent-Memory
- +446 (30d)
Full report
- memvid
- Trust report
- TencentDB-Agent-Memory
- Trust report
Choose memvid if…
- memvid is primarily Rust; TencentDB-Agent-Memory is TypeScript.
- License: memvid is Apache-2.0, TencentDB-Agent-Memory is Other.
- Requirements: Requires Rust version 1.85.0 or higher..
- Tags unique to memvid: ai, context, embedded, faiss.
- When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f
When NOT to use memvid
- If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages.
- In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a
Choose TencentDB-Agent-Memory if…
- TencentDB-Agent-Memory is primarily TypeScript; memvid is Rust.
- License: TencentDB-Agent-Memory is Other, memvid is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (memvid/memvid) · observed Sep 20, 2026
- GitHub forks (memvid/memvid) · observed Sep 20, 2026
- Last push (memvid/memvid) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: memvid 16k · TencentDB-Agent-Memory 27k (synced Sep 20, 2026).
Common questions
- What is the difference between memvid and TencentDB-Agent-Memory?
- memvid: Memory layer for AI Agents. 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 memvid over TencentDB-Agent-Memory?
- Choose memvid over TencentDB-Agent-Memory when memvid is primarily Rust; TencentDB-Agent-Memory is TypeScript; License: memvid is Apache-2.0, TencentDB-Agent-Memory is Other; Requirements: Requires Rust version 1.85.0 or higher.; Tags unique to memvid: ai, context, embedded, faiss; When you need a lightweight yet efficient memory solution integrated into your Rust-based AI agents that can manage both short-term and long-term information without requiring complex setup or multi-f.
- When should I choose TencentDB-Agent-Memory over memvid?
- Choose TencentDB-Agent-Memory over memvid when TencentDB-Agent-Memory is primarily TypeScript; memvid is Rust; License: TencentDB-Agent-Memory is Other, memvid is Apache-2.0; 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 avoid memvid?
- If you're working with another programming language besides Rust, as Memvid is solely based on Rust and might not integrate seamlessly with other languages. In environments where RAG (Retrieval-Augmented Generation) pipelines are already deeply integrated and optimized, as switching to Memvid might require additional refactoring and could potentially be a
- 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 memvid or TencentDB-Agent-Memory more popular on GitHub?
- TencentDB-Agent-Memory has more GitHub stars (26,924 vs 16,386). Stars measure visibility, not whether either tool fits your constraints.
- Are memvid and TencentDB-Agent-Memory open source?
- Yes - both are open-source projects on GitHub (memvid: Apache-2.0, TencentDB-Agent-Memory: Other).
- Where can I find alternatives to memvid or TencentDB-Agent-Memory?
- GraphCanon lists graph-backed alternatives at memvid alternatives and TencentDB-Agent-Memory alternatives (memvid 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, memvid or TencentDB-Agent-Memory?
- memvid: Steady. 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 memvid and TencentDB-Agent-Memory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memvid trust report; TencentDB-Agent-Memory trust report.