Comparison
MemOS vs memvid
MemOS (Self-evolving memory OS for LLM & AI Agents) vs memvid (Memory layer for AI Agents) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · MemOS alternatives · memvid alternatives
GraphCanon updated today
Tagline
- MemOS
- Self-evolving memory OS for LLM & AI Agents
- memvid
- Memory layer for AI Agents
Stars
- MemOS
- 10k
- memvid
- 16k
Forks
- MemOS
- 920
- memvid
- 1.4k
Open issues
- MemOS
- 158
- memvid
- 21
Language
- MemOS
- TypeScript
- memvid
- Rust
Adopt for
- MemOS
- MemOS is a self-evolving memory operating system designed to enhance both Large Language Models (LLM) and AI agents. It offers ultra-persistent memory, hybrid-retrieval capabilities, and efficient cross-task skill reuse,
- memvid
- Memvid is a Rust-based single-file memory layer for AI agents that offers high accuracy, low latency, and portable long-term memory without the need for complex infrastructure.
Persona
- MemOS
- -
- memvid
- -
Runtime
- MemOS
- -
- memvid
- -
License
- MemOS
- Apache-2.0
- memvid
- Memvid is licensed under Apache-2.0, which allows free usage in both open-source and commercial projects with attribution.
Last pushed
- MemOS
- Jul 8, 2026
- memvid
- May 27, 2026
Categories
- MemOS
- AI Agents, Data & Retrieval
- memvid
- AI Agents
Trust and health
Maintenance
- MemOS
- Very active (96%)
- memvid
- Steady (60%)
Days since push
- MemOS
- 0d
- memvid
- 41d
Open issues (now)
- MemOS
- 158
- memvid
- 21
Security scan
- MemOS
- 2 low (2 low)
- memvid
- No lockfile
Full report
- MemOS
- Trust report
- memvid
- Trust report
Typed relationship
MemOS memvidMemvid is a memory layer for AI Agents similar to MemOS's focus on memory management, but both serve somewhat different aspects of memory infrastructure.
Choose MemOS if…
- MemOS is primarily TypeScript; memvid is Rust.
- Memvid is a memory layer for AI Agents similar to MemOS's focus on memory management, but both serve somewhat different aspects of memory infrastructure.
- Tags unique to MemOS: self-evolving, memory-management, agentic-ai, long-term-memory.
- Also covers Data & Retrieval.
- MemOS ships Docker support for self-hosted deployment.
- When you require significant token savings (up to 72%) in the context of OpenClaw or Hermes agents.
When NOT to use MemOS
- If your application does not leverage LLMs or AI agents that are compatible with MemOS, such as Hermes or OpenClaw.
- In scenarios where token savings are not a priority, since MemOS's core benefit is its ability to significantly reduce token usage.
Choose memvid if…
- memvid is primarily Rust; MemOS is TypeScript.
- Requirements: Operates independently of databases or server infrastructure..
- Memvid is a memory layer for AI Agents similar to MemOS's focus on memory management, but both serve somewhat different aspects of memory infrastructure.
- Tags unique to memvid: memory, vector-database, retrieval-augmented-generation.
- - Your use case requires ultra-low latency retrieval where every millisecond counts.
When NOT to use memvid
- - Your application demands real-time updates to memory contents across multiple agents without manual intervention.
- - The use case involves large-scale data that necessitates a distributed database for handling the scale.
Explore
MemOS trust report →memvid trust report →AI Agents category →Data & Retrieval category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between MemOS and memvid?
- MemOS: Self-evolving memory OS for LLM & AI Agents. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose MemOS over memvid?
- Choose MemOS over memvid when MemOS is primarily TypeScript; memvid is Rust; Memvid is a memory layer for AI Agents similar to MemOS's focus on memory management, but both serve somewhat different aspects of memory infrastructure; Tags unique to MemOS: self-evolving, memory-management, agentic-ai, long-term-memory; Also covers Data & Retrieval; MemOS ships Docker support for self-hosted deployment; When you require significant token savings (up to 72%) in the context of OpenClaw or Hermes agents.
- When should I choose memvid over MemOS?
- Choose memvid over MemOS when memvid is primarily Rust; MemOS is TypeScript; Requirements: Operates independently of databases or server infrastructure.; Memvid is a memory layer for AI Agents similar to MemOS's focus on memory management, but both serve somewhat different aspects of memory infrastructure; Tags unique to memvid: memory, vector-database, retrieval-augmented-generation; - Your use case requires ultra-low latency retrieval where every millisecond counts.
- When should I avoid MemOS?
- If your application does not leverage LLMs or AI agents that are compatible with MemOS, such as Hermes or OpenClaw. In scenarios where token savings are not a priority, since MemOS's core benefit is its ability to significantly reduce token usage.
- When should I avoid memvid?
- - Your application demands real-time updates to memory contents across multiple agents without manual intervention. - The use case involves large-scale data that necessitates a distributed database for handling the scale.
- Is MemOS or memvid more popular on GitHub?
- memvid has more GitHub stars (15,736 vs 10,135). Stars measure visibility, not whether either tool fits your constraints.
- Are MemOS and memvid open source?
- Yes - both are open-source projects on GitHub (MemOS: Apache-2.0, memvid: Apache-2.0).
- Where can I find alternatives to MemOS or memvid?
- GraphCanon lists graph-backed alternatives at /tools/memtensor-memos/alternatives and /tools/memvid-memvid/alternatives (/tools/memtensor-memos/alternatives.md, /tools/memvid-memvid/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 /compare/memtensor-memos-vs-memvid-memvid.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, MemOS or memvid?
- MemOS: Very active. memvid: Steady. 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 MemOS and memvid?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MemOS: /tools/memtensor-memos/trust; memvid: /tools/memvid-memvid/trust.