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 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Markdown twin · infinispan alternatives · mem0 alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | infinispan | mem0 |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- infinispan
- Highly scalable NoSQL cloud data store and in-memory cache platform
- mem0
- Drop-in memory infrastructure for AI agents and apps
Stars
- infinispan
- 1.4k
- mem0
- 66k
Forks
- infinispan
- 654
- mem0
- 7.7k
Open issues
- infinispan
- 342
- mem0
- 754
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 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Persona
- infinispan
- -
- mem0
- -
Runtime
- infinispan
- -
- mem0
- -
License
- infinispan
- Apache-2.0
- mem0
- mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution.
Last pushed
- infinispan
- Sep 19, 2026
- mem0
- Sep 18, 2026
Categories
- infinispan
- Data & Retrieval, Vector Databases
- mem0
- AI Agents, Data & Retrieval
Trust and health
Days since push
- infinispan
- 1d
- mem0
- 0d
Open issues (now)
- infinispan
- 342
- mem0
- 754
Stars delta
- infinispan
- +13 (30d)
- mem0
- +2.8k (30d)
Open issues delta
- infinispan
- -106 (30d)
- mem0
- +63 (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 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
Choose mem0 if…
- mem0 is primarily Python; infinispan is Java.
- Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost..
- Requirements: Min 2 GB RAM; Python environment is required for installation and use..
- 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: agentic-memory, ai-agents, genai, long-term-memory.
- Also covers AI Agents.
- When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
When NOT to use mem0
- If your project is not in Python, as mem0 is specifically designed for Python environments.
- When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers.
- If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infinispan/infinispan) · observed Sep 20, 2026
- GitHub forks (infinispan/infinispan) · observed Sep 20, 2026
- Last push (infinispan/infinispan) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mem0ai/mem0) · observed Sep 20, 2026
- GitHub forks (mem0ai/mem0) · observed Sep 20, 2026
- Last push (mem0ai/mem0) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: infinispan 1.4k · mem0 66k (synced Sep 20, 2026).
Common questions
- What is the difference between infinispan and mem0?
- infinispan: Highly scalable NoSQL cloud data store and in-memory cache platform. mem0: Drop-in memory infrastructure for AI agents and apps. 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 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: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost.; Requirements: Min 2 GB RAM; Python environment is required for installation and use.; 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: agentic-memory, ai-agents, genai, long-term-memory; Also covers AI Agents; When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
- 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 project is not in Python, as mem0 is specifically designed for Python environments. When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers. If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
- Is infinispan or mem0 more popular on GitHub?
- mem0 has more GitHub stars (65,557 vs 1,352). 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.