Comparison
OpenMemory vs memvid
OpenMemory (Local persistent memory store for LLM applications) vs memvid (Memory layer for AI Agents) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · OpenMemory alternatives · memvid alternatives
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vs
Tagline
- OpenMemory
- Local persistent memory store for LLM applications
- memvid
- Memory layer for AI Agents
Stars
- OpenMemory
- 4.3k
- memvid
- 16k
Forks
- OpenMemory
- 489
- memvid
- 1.4k
Open issues
- OpenMemory
- 13
- memvid
- 21
Language
- OpenMemory
- TypeScript
- memvid
- Rust
Adopt for
- OpenMemory
- Decision-critical facts for OpenMemory: Local persistent memory store for LLM applications.
- 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
- OpenMemory
- -
- memvid
- -
Runtime
- OpenMemory
- -
- memvid
- -
License
- OpenMemory
- OpenMemory is distributed under the Apache-2.0 license.
- memvid
- Memvid is licensed under Apache-2.0, which allows free usage in both open-source and commercial projects with attribution.
Last pushed
- OpenMemory
- Jun 27, 2026
- memvid
- May 27, 2026
Categories
- OpenMemory
- AI Agents, Evaluation & Observability, Data & Retrieval, Model Training
- memvid
- AI Agents
Trust and health
Maintenance
- OpenMemory
- Active (82%)
- memvid
- Steady (60%)
Days since push
- OpenMemory
- 11d
- memvid
- 41d
Open issues (now)
- OpenMemory
- 13
- memvid
- 21
Full report
- OpenMemory
- Trust report
- memvid
- Trust report
Typed relationship
OpenMemory alternative memvidMemvid and OpenMemory both aim to provide a memory layer for AI Agents, focusing on state persistence over sessions.
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; memvid is Rust.
- Requirements: Requires Python or Node.js for SDK usage; Local SQLite support by default with optional configuration for external DB like Postgres; Dependencies include TypeScript environment for setup and use.
- Memvid and OpenMemory both aim to provide a memory layer for AI Agents, focusing on state persistence over sessions.
- Tags unique to OpenMemory: self-hosted, llm, ai-infrastructure, python.
- Also covers Evaluation & Observability, Data & Retrieval, Model Training.
- OpenMemory ships Docker support for self-hosted deployment.
- - You require real long-term memory capabilities that go beyond simple embeddings in a table
When NOT to use OpenMemory
- - When a fully managed cloud service with no local setup and self-hosted capabilities is preferred
- - If the project specifically requires integration only with vector databases or RAG (Retrieval-Augmented Generation) systems
- - Projects that are not compatible with TypeScript for backend or JavaScript for application use, as OpenMemory's SDKs are built for these environments
- - Situations where the project cannot benefit from local-first data storage and prefers cloud-based solutions
Choose memvid if…
- memvid is primarily Rust; OpenMemory is TypeScript.
- Requirements: Operates independently of databases or server infrastructure..
- Memvid and OpenMemory both aim to provide a memory layer for AI Agents, focusing on state persistence over sessions.
- Tags unique to memvid: memory, 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
OpenMemory trust report →memvid trust report →AI Agents category →Evaluation & Observability category →Data & Retrieval category →Model Training category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between OpenMemory and memvid?
- OpenMemory: Local persistent memory store for LLM applications. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over memvid?
- Choose OpenMemory over memvid when OpenMemory is primarily TypeScript; memvid is Rust; Requirements: Requires Python or Node.js for SDK usage; Local SQLite support by default with optional configuration for external DB like Postgres; Dependencies include TypeScript environment for setup and use; Memvid and OpenMemory both aim to provide a memory layer for AI Agents, focusing on state persistence over sessions; Tags unique to OpenMemory: self-hosted, llm, ai-infrastructure, python; Also covers Evaluation & Observability, Data & Retrieval, Model Training; OpenMemory ships Docker support for self-hosted deployment; - You require real long-term memory capabilities that go beyond simple embeddings in a table.
- When should I choose memvid over OpenMemory?
- Choose memvid over OpenMemory when memvid is primarily Rust; OpenMemory is TypeScript; Requirements: Operates independently of databases or server infrastructure.; Memvid and OpenMemory both aim to provide a memory layer for AI Agents, focusing on state persistence over sessions; Tags unique to memvid: memory, retrieval-augmented-generation; - Your use case requires ultra-low latency retrieval where every millisecond counts.
- When should I avoid OpenMemory?
- - When a fully managed cloud service with no local setup and self-hosted capabilities is preferred - If the project specifically requires integration only with vector databases or RAG (Retrieval-Augmented Generation) systems - Projects that are not compatible with TypeScript for backend or JavaScript for application use, as OpenMemory's SDKs are built for these environments - Situations where the project cannot benefit from local-first data storage and prefers cloud-based solutions
- 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 OpenMemory or memvid more popular on GitHub?
- memvid has more GitHub stars (15,736 vs 4,315). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and memvid open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, memvid: Apache-2.0).
- Where can I find alternatives to OpenMemory or memvid?
- GraphCanon lists graph-backed alternatives at /tools/caviraoss-openmemory/alternatives and /tools/memvid-memvid/alternatives (/tools/caviraoss-openmemory/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/caviraoss-openmemory-vs-memvid-memvid.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, OpenMemory or memvid?
- OpenMemory: 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 OpenMemory and memvid?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory: /tools/caviraoss-openmemory/trust; memvid: /tools/memvid-memvid/trust.