Comparison
Memori vs memvid
Verdict
Pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云; 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.
Markdown twin · Memori alternatives · memvid alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | Memori | memvid |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Steady (34d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Memori
- Agent-native memory infrastructure for LLM systems
- memvid
- Memory layer for AI Agents
Stars
- Memori
- 16k
- memvid
- 16k
Forks
- Memori
- 3.2k
- memvid
- 1.4k
Open issues
- Memori
- 33
- memvid
- 34
Language
- Memori
- Python
- memvid
- Rust
Adopt for
- Memori
- Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云
- 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.
Persona
- Memori
- -
- memvid
- -
Runtime
- Memori
- -
- memvid
- -
License
- Memori
- Other
- memvid
- Memvid is distributed under the Apache License 2.0, providing users with permission to use, modify, distribute, and sell the software.
Last pushed
- Memori
- Aug 18, 2026
- memvid
- Jul 14, 2026
Categories
- Memori
- AI Agents, Data & Retrieval
- memvid
- AI Agents, Vector Databases
Trust and health
Maintenance
- Memori
- Very active (96%)
- memvid
- Steady (60%)
Days since push
- Memori
- 0d
- memvid
- 34d
Open issues (now)
- Memori
- 33
- memvid
- 34
Stars delta
- Memori
- +515 (30d)
- memvid
- +398 (30d)
Open issues delta
- Memori
- +7 (30d)
- memvid
- +13 (30d)
Full report
- Memori
- Trust report
- memvid
- Trust report
Typed relationship
Choose Memori if…
- Memori is primarily Python; memvid is Rust.
- License: Memori is Other, memvid is Apache-2.0.
- Both Memvid and Memori offer memory infrastructure for AI agents with persistent states, but approach it differently, with Memvid focusing on simplicity (single-file) while Memori emphasizes structured capture of actions and conversations.
- Tags unique to Memori: agent-memory, enterprise, memory-management, python.
- Also covers Data & Retrieval.
- Memori ships Docker support for self-hosted deployment.
- 您需要一个可以在多种部署环境中工作的内存基础设施,包括云端和本地环境时。
When NOT to use Memori
- (TypeScriptPython),MemoriSDK。
Choose memvid if…
- memvid is primarily Rust; Memori is Python.
- License: memvid is Apache-2.0, Memori is Other.
- Requirements: Requires Rust version 1.85.0 or higher..
- Both Memvid and Memori offer memory infrastructure for AI agents with persistent states, but approach it differently, with Memvid focusing on simplicity (single-file) while Memori emphasizes structured capture of actions and conversations.
- Tags unique to memvid: ai, context, embedded, faiss.
- Also covers Vector Databases.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MemoriLabs/Memori) · observed Aug 18, 2026
- GitHub forks (MemoriLabs/Memori) · observed Aug 18, 2026
- Last push (MemoriLabs/Memori) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (memvid/memvid) · observed Aug 18, 2026
- GitHub forks (memvid/memvid) · observed Aug 18, 2026
- Last push (memvid/memvid) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Memori 16k · memvid 16k (synced Aug 18, 2026).
Common questions
- What is the difference between Memori and memvid?
- Memori: Agent-native memory infrastructure for LLM systems. memvid: Memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose Memori over memvid?
- Choose Memori over memvid when Memori is primarily Python; memvid is Rust; License: Memori is Other, memvid is Apache-2.0; Both Memvid and Memori offer memory infrastructure for AI agents with persistent states, but approach it differently, with Memvid focusing on simplicity (single-file) while Memori emphasizes structured capture of actions and conversations; Tags unique to Memori: agent-memory, enterprise, memory-management, python; Also covers Data & Retrieval; Memori ships Docker support for self-hosted deployment; 您需要一个可以在多种部署环境中工作的内存基础设施,包括云端和本地环境时。.
- When should I choose memvid over Memori?
- Choose memvid over Memori when memvid is primarily Rust; Memori is Python; License: memvid is Apache-2.0, Memori is Other; Requirements: Requires Rust version 1.85.0 or higher.; Both Memvid and Memori offer memory infrastructure for AI agents with persistent states, but approach it differently, with Memvid focusing on simplicity (single-file) while Memori emphasizes structured capture of actions and conversations; Tags unique to memvid: ai, context, embedded, faiss; Also covers Vector Databases; 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 avoid Memori?
- (TypeScriptPython),MemoriSDK。
- 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
- Is Memori or memvid more popular on GitHub?
- memvid has more GitHub stars (16,386 vs 16,130). Stars measure visibility, not whether either tool fits your constraints.
- Are Memori and memvid open source?
- Yes - both are open-source projects on GitHub (Memori: Other, memvid: Apache-2.0).
- Where can I find alternatives to Memori or memvid?
- GraphCanon lists graph-backed alternatives at Memori alternatives and memvid alternatives (Memori markdown twin, memvid 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, Memori or memvid?
- Memori: 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 Memori and memvid?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Memori trust report; memvid trust report.