Home/Compare/airweave vs mem0

Comparison

airweave vs mem0

Verdict

Pick airweave if airweave is an open-source library for AI agents to retrieve and integrate context, offering a search API; pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.

Markdown twin · airweave alternatives · mem0 alternatives

GraphCanon updated 3d

airweave logo

airweave

airweave-ai/airweave

6.6kpushed Jun 5, 2026
vs
mem0 logo

mem0

mem0ai/mem0

63kpushed Aug 7, 2026

Trust & integrity

Signalairweavemem0
Maintenance
Steady (74d since push)
As of 3d · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · 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

Tagline

airweave
Open-source context retrieval layer for AI agents
mem0
Universal memory layer for AI Agents

Stars

airweave
6.6k
mem0
63k

Forks

airweave
819
mem0
7.3k

Open issues

airweave
119
mem0
691

Language

airweave
Python
mem0
Python

Adopt for

airweave
Airweave is an open-source library for AI agents to retrieve and integrate context, offering a search API.
mem0
Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.

Persona

airweave
-
mem0
-

Runtime

airweave
-
mem0
-

License

airweave
Airweave is available under the permissive MIT License, allowing for free redistribution and modification as long as original copyright and license information are retained.
mem0
Apache-2.0

Last pushed

airweave
Jun 5, 2026
mem0
Aug 7, 2026

Categories

airweave
AI Agents, Data & Retrieval
mem0
AI Agents

Trust and health

Maintenance

airweave
Steady (60%)
mem0
Very active (96%)

Days since push

airweave
74d
mem0
0d

Open issues (now)

airweave
119
mem0
691

Stars delta

airweave
+70 (30d)
mem0
+2.4k (30d)

Open issues delta

airweave
-12 (30d)
mem0
+187 (30d)

Full report

airweave
Trust report

Typed relationship

airweave alternative mem0Both Airweave and Mem0 provide a memory layer for AI agents, solving similar problems but with different approaches in context retrieval and augmentation.

Choose airweave if…

  • License: airweave is MIT, mem0 is Apache-2.0.
  • Pricing: Open-source (MIT License); community support; enterprise support packages potentially available..
  • Requirements: - Requires Python for development and deployment.; - Necessitates setup for various data connectors depending on the use case..
  • Both Airweave and Mem0 provide a memory layer for AI agents, solving similar problems but with different approaches in context retrieval and augmentation.
  • Tags unique to airweave: agent-infrastructure, ai-agents, context-retrieval, data-connectors.
  • Also covers Data & Retrieval.
  • - When you need a versatile retrieval layer that supports multiple data connectors.

When NOT to use airweave

  • - For projects requiring proprietary or closed-source solutions, as Airweave operates under an MIT license.
  • - If your project demands a tightly integrated solution without reliance on external libraries or connectors.
  • - When you prefer less customizable options and are seeking out-of-the-box functionality without the need to handle multiple connectors.

Choose mem0 if…

  • License: mem0 is Apache-2.0, airweave is MIT.
  • 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.
  • Both Airweave and Mem0 provide a memory layer for AI agents, solving similar problems but with different approaches in context retrieval and augmentation.
  • 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.

Explore

Sources

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

GitHub stars on cards: airweave 6.6k · mem0 63k (synced Aug 18, 2026).

Common questions

What is the difference between airweave and mem0?
airweave: Open-source context retrieval layer for AI agents. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose airweave over mem0?
Choose airweave over mem0 when License: airweave is MIT, mem0 is Apache-2.0; Pricing: Open-source (MIT License); community support; enterprise support packages potentially available.; Requirements: - Requires Python for development and deployment.; - Necessitates setup for various data connectors depending on the use case.; Both Airweave and Mem0 provide a memory layer for AI agents, solving similar problems but with different approaches in context retrieval and augmentation; Tags unique to airweave: agent-infrastructure, ai-agents, context-retrieval, data-connectors; Also covers Data & Retrieval; - When you need a versatile retrieval layer that supports multiple data connectors.
When should I choose mem0 over airweave?
Choose mem0 over airweave when License: mem0 is Apache-2.0, airweave is MIT; 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; Both Airweave and Mem0 provide a memory layer for AI agents, solving similar problems but with different approaches in context retrieval and augmentation; 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 avoid airweave?
- For projects requiring proprietary or closed-source solutions, as Airweave operates under an MIT license. - If your project demands a tightly integrated solution without reliance on external libraries or connectors. - When you prefer less customizable options and are seeking out-of-the-box functionality without the need to handle multiple connectors.
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 airweave or mem0 more popular on GitHub?
mem0 has more GitHub stars (62,757 vs 6,558). Stars measure visibility, not whether either tool fits your constraints.
Are airweave and mem0 open source?
Yes - both are open-source projects on GitHub (airweave: MIT, mem0: Apache-2.0).
Where can I find alternatives to airweave or mem0?
GraphCanon lists graph-backed alternatives at airweave alternatives and mem0 alternatives (airweave 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, airweave or mem0?
airweave: Steady. 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 airweave and mem0?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airweave trust report; mem0 trust report.

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