Comparison
mempalace vs 3D-Mem
Verdict
Pick mempalace when tags unique to mempalace: memory, llm, chromadb; pick 3D-Mem when tags unique to 3D-Mem: spatial-intelligence, embodied-ai, python, computer-vision.
Markdown twin · mempalace alternatives · 3D-Mem alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mempalace | 3D-Mem |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (281d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- mempalace
- The best-benchmarked open-source AI memory system.
- 3D-Mem
- [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"
Stars
- mempalace
- 57k
- 3D-Mem
- 264
Forks
- mempalace
- 7.4k
- 3D-Mem
- 17
Open issues
- mempalace
- 616
- 3D-Mem
- 3
Language
- mempalace
- Python
- 3D-Mem
- Python
Adopt for
- mempalace
- MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency.
- 3D-Mem
- -
Persona
- mempalace
- -
- 3D-Mem
- -
Runtime
- mempalace
- -
- 3D-Mem
- -
License
- mempalace
- MIT
- 3D-Mem
- MIT
Last pushed
- mempalace
- Jul 10, 2026
- 3D-Mem
- Oct 2, 2025
Categories
- mempalace
- Model Training, Vector Databases
- 3D-Mem
- Model Training, Vector Databases, Computer Vision
Trust and health
Maintenance
- mempalace
- Very active (96%)
- 3D-Mem
- Slowing (36%)
Days since push
- mempalace
- 0d
- 3D-Mem
- 281d
Open issues (now)
- mempalace
- 616
- 3D-Mem
- 3
Security scan
- mempalace
- No MCP manifest
- 3D-Mem
- No lockfile
Full report
- mempalace
- Trust report
- 3D-Mem
- Trust report
Choose mempalace if…
- Tags unique to mempalace: memory, llm, chromadb.
- mempalace ships Docker support for self-hosted deployment.
- When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.
When NOT to use mempalace
- Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃
- "如果你的应用场景对内存管理层的完全透明或定制化需求不高,因为MemPalace是开源的,可能需要更深的技术介入来满足特定需求。"
- If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.
Choose 3D-Mem if…
- Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, python, computer-vision.
- Also covers Computer Vision.
- Leaner open-issue backlog (3).
When NOT to use 3D-Mem
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MemPalace/mempalace) · observed Jul 11, 2026
- GitHub forks (MemPalace/mempalace) · observed Jul 11, 2026
- Last push (MemPalace/mempalace) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- GitHub forks (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- Last push (UMass-Embodied-AGI/3D-Mem) · observed Oct 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mempalace 57k · 3D-Mem 264 (synced Jul 11, 2026).
Common questions
- What is the difference between mempalace and 3D-Mem?
- mempalace: The best-benchmarked open-source AI memory system.. 3D-Mem: [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning". See the comparison table for live GitHub stats and shared categories.
- When should I choose mempalace over 3D-Mem?
- Choose mempalace over 3D-Mem when Tags unique to mempalace: memory, llm, chromadb; mempalace ships Docker support for self-hosted deployment; When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.
- When should I choose 3D-Mem over mempalace?
- Choose 3D-Mem over mempalace when Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, python, computer-vision; Also covers Computer Vision; Leaner open-issue backlog (3).
- When should I avoid mempalace?
- Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃 "如果你的应用场景对内存管理层的完全透明或定制化需求不高,因为MemPalace是开源的,可能需要更深的技术介入来满足特定需求。" If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.
- When should I avoid 3D-Mem?
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is mempalace or 3D-Mem more popular on GitHub?
- mempalace has more GitHub stars (57,215 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are mempalace and 3D-Mem open source?
- Yes - both are open-source projects on GitHub (mempalace: MIT, 3D-Mem: MIT).
- Where can I find alternatives to mempalace or 3D-Mem?
- GraphCanon lists graph-backed alternatives at mempalace alternatives and 3D-Mem alternatives (mempalace markdown twin, 3D-Mem 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, mempalace or 3D-Mem?
- mempalace: Very active. 3D-Mem: Slowing. 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 mempalace and 3D-Mem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace trust report; 3D-Mem trust report.