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
Trust & integrity
| Signal | airweave | mem0 |
|---|---|---|
| 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
- mem0
- Trust report
Typed relationship
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 (airweave-ai/airweave) · observed Aug 18, 2026
- GitHub forks (airweave-ai/airweave) · observed Aug 18, 2026
- Last push (airweave-ai/airweave) · observed Jun 5, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 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.