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Comparison

infinispan vs mem0

Verdict

Pick infinispan if infinispan serves as an open-source distributed NoSQL data grid with advanced in-memory caching and persistence features; pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.

Markdown twin · infinispan alternatives · mem0 alternatives

GraphCanon updated 1d

infinispan logo

infinispan

infinispan/infinispan

★ 1.3kpushed Aug 21, 2026
vs
mem0 logo

mem0

mem0ai/mem0

★ 63kpushed Aug 7, 2026

Trust & integrity

Signalinfinispanmem0
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 2w · 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
infinispan trust reportmem0 trust reportTrust methodology

Tagline

infinispan
Highly scalable NoSQL cloud data store and in-memory cache platform
mem0
Universal memory layer for AI Agents

Stars

infinispan
1.3k
mem0
63k

Forks

infinispan
652
mem0
7.3k

Open issues

infinispan
309
mem0
691

Language

infinispan
Java
mem0
Python

Adopt for

infinispan
Infinispan serves as an open-source distributed NoSQL data grid with advanced in-memory caching and persistence features.
mem0
Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.

Persona

infinispan
-
mem0
-

Runtime

infinispan
-
mem0
-

License

infinispan
Apache-2.0
mem0
Apache-2.0

Last pushed

infinispan
Aug 21, 2026
mem0
Aug 7, 2026

Categories

infinispan
Data & Retrieval, Vector Databases
mem0
AI Agents

Trust and health

Open issues (now)

infinispan
309
mem0
691

Stars delta

infinispan
+6 (30d)
mem0
+2.4k (30d)

Open issues delta

infinispan
-139 (30d)
mem0
+187 (30d)

Full report

infinispan
Trust report
mem0
Trust report

Typed relationship

infinispan alternative mem0Infinispan and mem0 are both memory layers or storage solutions designed to work with AI applications. However, Infinispan is a more general in-memory data grid while mem0 focuses specifically on universal memory for AI agents.

Choose infinispan if…

  • infinispan is primarily Java; mem0 is Python.
  • Infinispan and mem0 are both memory layers or storage solutions designed to work with AI applications. However, Infinispan is a more general in-memory data grid while mem0 focuses specifically on universal memory for AI agents.
  • Tags unique to infinispan: datagrid, infinispan, inmemory-cache, key-value-store.
  • Also covers Data & Retrieval, Vector Databases.
  • When you need a scalable in-memory cache platform paired with persistent storage capabilities

When NOT to use infinispan

  • If your application does not require high-speed in-memory lookups and caches
  • In scenarios where NoSQL integration is unnecessary or conflicts with existing relational databases
GitHubDetails

Choose mem0 if…

  • mem0 is primarily Python; infinispan is Java.
  • 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.
  • Infinispan and mem0 are both memory layers or storage solutions designed to work with AI applications. However, Infinispan is a more general in-memory data grid while mem0 focuses specifically on universal memory for AI agents.
  • Tags unique to mem0: agents, ai, chatbots, llm.
  • Also covers AI Agents.
  • - 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.
GitHubDetails

Explore

infinispan trust report →mem0 trust report →Data & Retrieval category →Vector Databases category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: infinispan 1.3k · mem0 63k (synced Aug 21, 2026).

Common questions

What is the difference between infinispan and mem0?
infinispan: Highly scalable NoSQL cloud data store and in-memory cache platform. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose infinispan over mem0?
Choose infinispan over mem0 when infinispan is primarily Java; mem0 is Python; Infinispan and mem0 are both memory layers or storage solutions designed to work with AI applications. However, Infinispan is a more general in-memory data grid while mem0 focuses specifically on universal memory for AI agents; Tags unique to infinispan: datagrid, infinispan, inmemory-cache, key-value-store; Also covers Data & Retrieval, Vector Databases; When you need a scalable in-memory cache platform paired with persistent storage capabilities.
When should I choose mem0 over infinispan?
Choose mem0 over infinispan when mem0 is primarily Python; infinispan is Java; 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; Infinispan and mem0 are both memory layers or storage solutions designed to work with AI applications. However, Infinispan is a more general in-memory data grid while mem0 focuses specifically on universal memory for AI agents; Tags unique to mem0: agents, ai, chatbots, llm; Also covers AI Agents; - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
When should I avoid infinispan?
If your application does not require high-speed in-memory lookups and caches In scenarios where NoSQL integration is unnecessary or conflicts with existing relational databases
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.
Is infinispan or mem0 more popular on GitHub?
mem0 has more GitHub stars (62,757 vs 1,345). Stars measure visibility, not whether either tool fits your constraints.
Are infinispan and mem0 open source?
Yes - both are open-source projects on GitHub (infinispan: Apache-2.0, mem0: Apache-2.0).
Where can I find alternatives to infinispan or mem0?
GraphCanon lists graph-backed alternatives at infinispan alternatives and mem0 alternatives (infinispan markdown twin, mem0 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, infinispan or mem0?
infinispan: Very active. mem0: 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 infinispan and mem0?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinispan trust report; mem0 trust report.

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