Comparison
3D-Mem vs automem
Verdict
Pick 3D-Mem if 3D-Mem excels in environments where embodied AI needs spatial intelligence for exploration and reasoning in 3D scenes; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Markdown twin · 3D-Mem alternatives · automem alternatives
GraphCanon updated Sep 25, 2026
8views this month
vs
Trust & integrity
| Signal | 3D-Mem | automem |
|---|---|---|
| Maintenance | Slowing (357d since push) As of Sep 25, 2026 · github_public_v1 | Active (9d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 25, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 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 Jul 11, 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
- 3D-Mem
- 3D scene memory for embodied AI exploration and reasoning
- automem
- Graph-vector memory service for durable, relational AI assistant memory
Stars
- 3D-Mem
- 277
- automem
- 813
Forks
- 3D-Mem
- 19
- automem
- 105
Open issues
- 3D-Mem
- 3
- automem
- 12
Language
- 3D-Mem
- Python
- automem
- Python
Adopt for
- 3D-Mem
- 3D-Mem excels in environments where embodied AI needs spatial intelligence for exploration and reasoning in 3D scenes.
- automem
- AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Persona
- 3D-Mem
- -
- automem
- -
Runtime
- 3D-Mem
- -
- automem
- -
License
- 3D-Mem
- MIT
- 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
- 3D-Mem
- Oct 2, 2025
- automem
- Sep 10, 2026
Categories
- 3D-Mem
- Computer Vision
- automem
- AI Agents, Vector Databases
Trust and health
Maintenance
- 3D-Mem
- Slowing (36%)
- automem
- Active (82%)
Days since push
- 3D-Mem
- 357d
- automem
- 9d
Open issues (now)
- 3D-Mem
- 3
- automem
- 12
Stars delta
- 3D-Mem
- +7 (30d)
- automem
- +20 (30d)
Open issues delta
- 3D-Mem
- 0 (30d)
- automem
- +1 (30d)
Full report
- 3D-Mem
- Trust report
- automem
- Trust report
Choose 3D-Mem if…
- Tags unique to 3D-Mem: ai, embodied-ai, spatial-intelligence.
- Also covers Computer Vision.
- Use if your project involves embodied AI systems that require detailed scene understanding in 3D
When NOT to use 3D-Mem
- Avoid for environments where 2D image analysis suffices over deeper 3D spatial reasoning
- This may not be suitable if real-time performance is more critical than the richness of 3D scene intelligence
Choose automem if…
- 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 AI Agents, 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 (UMass-Embodied-AGI/3D-Mem) · observed Sep 25, 2026
- GitHub forks (UMass-Embodied-AGI/3D-Mem) · observed Sep 25, 2026
- Last push (UMass-Embodied-AGI/3D-Mem) · observed Oct 2, 2025
- License file (MIT) · observed Sep 25, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (verygoodplugins/automem) · observed Sep 20, 2026
- GitHub forks (verygoodplugins/automem) · observed Sep 20, 2026
- Last push (verygoodplugins/automem) · observed Sep 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: 3D-Mem 277 · automem 813 (synced Sep 25, 2026).
Common questions
- What is the difference between 3D-Mem and automem?
- 3D-Mem: 3D scene memory for embodied AI exploration and reasoning. 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 3D-Mem over automem?
- Choose 3D-Mem over automem when Tags unique to 3D-Mem: ai, embodied-ai, spatial-intelligence; Also covers Computer Vision; Use if your project involves embodied AI systems that require detailed scene understanding in 3D.
- When should I choose automem over 3D-Mem?
- Choose automem over 3D-Mem when 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 AI Agents, 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 3D-Mem?
- Avoid for environments where 2D image analysis suffices over deeper 3D spatial reasoning This may not be suitable if real-time performance is more critical than the richness of 3D scene intelligence
- 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 3D-Mem or automem more popular on GitHub?
- automem has more GitHub stars (813 vs 277). Stars measure visibility, not whether either tool fits your constraints.
- Are 3D-Mem and automem open source?
- Yes - both are open-source projects on GitHub (3D-Mem: MIT, automem: MIT).
- Where can I find alternatives to 3D-Mem or automem?
- GraphCanon lists graph-backed alternatives at 3D-Mem alternatives and automem alternatives (3D-Mem 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, 3D-Mem or automem?
- 3D-Mem: Slowing. 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 3D-Mem and automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: 3D-Mem trust report; automem trust report.