Comparison
memU vs automem
Verdict
Pick memU if memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Markdown twin · memU alternatives · automem alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | memU | automem |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Active (7d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- memU
- Personal memory for agents with fast retrieval and self-evolving skills
- automem
- Graph-vector memory service for durable, relational AI assistant memory
Stars
- memU
- 14k
- automem
- 802
Forks
- memU
- 1.0k
- automem
- 102
Open issues
- memU
- 94
- automem
- 15
Language
- memU
- Python
- automem
- Python
Adopt for
- memU
- memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs.
- automem
- AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Persona
- memU
- -
- automem
- -
Runtime
- memU
- -
- automem
- -
License
- memU
- Other
- automem
- AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met.
Last pushed
- memU
- Jul 26, 2026
- automem
- Aug 14, 2026
Categories
- memU
- AI Agents
- automem
- AI Agents, Vector Databases
Trust and health
Maintenance
- memU
- Very active (96%)
- automem
- Active (82%)
Days since push
- memU
- 0d
- automem
- 7d
Open issues (now)
- memU
- 94
- automem
- 15
Stars delta
- memU
- Unknown
- automem
- +9 (30d)
Open issues delta
- memU
- Unknown
- automem
- +4 (30d)
Full report
- memU
- Trust report
- automem
- Trust report
Choose memU if…
- License: memU is Other, automem is MIT.
- Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering.
- Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention.
When NOT to use memU
- Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU.
- memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features.
Choose automem if…
- License: automem is MIT, memU is Other.
- Pricing: Free for open-source use, with no explicit commercial licensing information provided..
- Tags unique to automem: ai-memory, anthropic, falkordb, graph-database.
- Also covers Vector Databases.
- automem ships Docker support for self-hosted deployment.
- Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
When NOT to use automem
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead.
- If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NevaMind-AI/memU) · observed Jul 26, 2026
- GitHub forks (NevaMind-AI/memU) · observed Jul 26, 2026
- Last push (NevaMind-AI/memU) · observed Jul 26, 2026
- License file (Other) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (verygoodplugins/automem) · observed Aug 21, 2026
- GitHub forks (verygoodplugins/automem) · observed Aug 21, 2026
- Last push (verygoodplugins/automem) · observed Aug 14, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: memU 14k · automem 802 (synced Jul 26, 2026).
Common questions
- What is the difference between memU and automem?
- memU: Personal memory for agents with fast retrieval and self-evolving skills. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories.
- When should I choose memU over automem?
- Choose memU over automem when License: memU is Other, automem is MIT; Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering; Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention.
- When should I choose automem over memU?
- Choose automem over memU when License: automem is MIT, memU is Other; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; Also covers Vector Databases; automem ships Docker support for self-hosted deployment; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
- When should I avoid memU?
- Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU. memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features.
- When should I avoid automem?
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
- Is memU or automem more popular on GitHub?
- memU has more GitHub stars (14,062 vs 802). Stars measure visibility, not whether either tool fits your constraints.
- Are memU and automem open source?
- Yes - both are open-source projects on GitHub (memU: Other, automem: MIT).
- Where can I find alternatives to memU or automem?
- GraphCanon lists graph-backed alternatives at memU alternatives and automem alternatives (memU markdown twin, automem 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, memU or automem?
- memU: Very active. automem: 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 memU and automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memU trust report; automem trust report.