Comparison
mem0 vs Memori
Verdict
Pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents; 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.
Markdown twin · mem0 alternatives · Memori alternatives
GraphCanon updated today
Trust & integrity
| Signal | mem0 | Memori |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of today · 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
- mem0
- Universal memory layer for AI Agents
- Memori
- Agent-native memory infrastructure for LLM systems
Stars
- mem0
- 63k
- Memori
- 16k
Forks
- mem0
- 7.3k
- Memori
- 3.2k
Open issues
- mem0
- 691
- Memori
- 33
Language
- mem0
- Python
- Memori
- Python
Adopt for
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
- 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
Persona
- mem0
- -
- Memori
- -
Runtime
- mem0
- -
- Memori
- -
License
- mem0
- Apache-2.0
- Memori
- Other
Last pushed
- mem0
- Aug 7, 2026
- Memori
- Aug 18, 2026
Categories
- mem0
- AI Agents
- Memori
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- mem0
- 691
- Memori
- 33
Stars delta
- mem0
- +2.4k (30d)
- Memori
- +515 (30d)
Open issues delta
- mem0
- +187 (30d)
- Memori
- +7 (30d)
Full report
- mem0
- Trust report
- Memori
- Trust report
Typed relationship
mem0 alternative MemoriMemori and mem0 both address the need for agent-native memory infrastructure in LLM systems, presenting them as alternatives with similar goals.
Shared compatibility
- Node.js · mem0: Node.js runtime · Memori: Node.js runtime
- Python · mem0: Python runtime · Memori: Python runtime
Choose mem0 if…
- License: mem0 is Apache-2.0, Memori is Other.
- Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs..
- Requirements: Min 4 GB RAM.
- Memori and mem0 both address the need for agent-native memory infrastructure in LLM systems, presenting them as alternatives with similar goals.
- Tags unique to mem0: agents, ai, chatbots, long-term-memory.
- - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
When NOT to use mem0
- - If your application does not require the retention of historical context for effective performance over multiple sessions.
- - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
Choose Memori if…
- License: Memori is Other, mem0 is Apache-2.0.
- Memori and mem0 both address the need for agent-native memory infrastructure in LLM systems, presenting them as alternatives with similar goals.
- Tags unique to Memori: agent-memory, enterprise, python, rag.
- 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。
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mem0ai/mem0) · observed Aug 7, 2026
- GitHub forks (mem0ai/mem0) · observed Aug 7, 2026
- Last push (mem0ai/mem0) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: mem0 63k · Memori 16k (synced Aug 7, 2026).
Common questions
- What is the difference between mem0 and Memori?
- mem0: Universal memory layer for AI Agents. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose mem0 over Memori?
- Choose mem0 over Memori when License: mem0 is Apache-2.0, Memori is Other; Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs.; Requirements: Min 4 GB RAM; Memori and mem0 both address the need for agent-native memory infrastructure in LLM systems, presenting them as alternatives with similar goals; Tags unique to mem0: agents, ai, chatbots, long-term-memory; - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
- When should I choose Memori over mem0?
- Choose Memori over mem0 when License: Memori is Other, mem0 is Apache-2.0; Memori and mem0 both address the need for agent-native memory infrastructure in LLM systems, presenting them as alternatives with similar goals; Tags unique to Memori: agent-memory, enterprise, python, rag; 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 avoid mem0?
- - If your application does not require the retention of historical context for effective performance over multiple sessions. - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
- When should I avoid Memori?
- （TypeScriptPython），MemoriSDK。
- Is mem0 or Memori more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 16,130). Stars measure visibility, not whether either tool fits your constraints.
- Are mem0 and Memori open source?
- Yes - both are open-source projects on GitHub (mem0: Apache-2.0, Memori: Other).
- Where can I find alternatives to mem0 or Memori?
- GraphCanon lists graph-backed alternatives at mem0 alternatives and Memori alternatives (mem0 markdown twin, Memori 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, mem0 or Memori?
- mem0: Very active. Memori: 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 mem0 and Memori?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mem0 trust report; Memori trust report.