Comparison
memfree vs mempalace
Verdict
Pick memfree if memfree; pick mempalace if mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options.
Markdown twin · memfree alternatives · mempalace alternatives
GraphCanon updated Oct 4, 2026
9views this month
vs
Trust & integrity
| Signal | memfree | mempalace |
|---|---|---|
| Maintenance | Steady (62d since push) As of Sep 7, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 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 Oct 4, 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
- memfree
- Hybrid AI Search Engine & AI Page Generator
- mempalace
- The best-benchmarked open-source AI memory system
Stars
- memfree
- 1.5k
- mempalace
- 59k
Forks
- memfree
- 211
- mempalace
- 7.6k
Open issues
- memfree
- 19
- mempalace
- 735
Language
- memfree
- TypeScript
- mempalace
- Python
Adopt for
- memfree
- memfree
- mempalace
- mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options.
Persona
- memfree
- -
- mempalace
- -
Runtime
- memfree
- -
- mempalace
- -
License
- memfree
- MIT
- mempalace
- MIT
Last pushed
- memfree
- Jul 6, 2026
- mempalace
- Sep 18, 2026
Categories
- memfree
- Data & Retrieval, Vector Databases
- mempalace
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- memfree
- Steady (60%)
- mempalace
- Very active (96%)
Days since push
- memfree
- 62d
- mempalace
- 0d
Open issues (now)
- memfree
- 19
- mempalace
- 735
Stars delta
- memfree
- -3 (30d)
- mempalace
- +743 (30d)
Open issues delta
- memfree
- +2 (30d)
- mempalace
- +31 (30d)
Full report
- memfree
- Trust report
- mempalace
- Trust report
Choose memfree if…
- memfree is primarily TypeScript; mempalace is Python.
- Pricing: Open-Source under MIT License, but commercial support might come with additional costs.
- Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation..
- Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector.
- When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying.
When NOT to use memfree
- When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods.
- If you do not need an integrated page generator as part of your AI search capabilities.
Choose mempalace if…
- mempalace is primarily Python; memfree is TypeScript.
- Tags unique to mempalace: ai, chromadb, embedding, llm.
- mempalace ships Docker support for self-hosted deployment.
- When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model.
When NOT to use mempalace
- If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher.
- When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (memfreeme/memfree) · observed Sep 20, 2026
- GitHub forks (memfreeme/memfree) · observed Sep 20, 2026
- Last push (memfreeme/memfree) · observed Jul 6, 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 (MemPalace/mempalace) · observed Sep 20, 2026
- GitHub forks (MemPalace/mempalace) · observed Sep 20, 2026
- Last push (MemPalace/mempalace) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: memfree 1.5k · mempalace 59k (synced Sep 20, 2026).
Common questions
- What is the difference between memfree and mempalace?
- memfree: Hybrid AI Search Engine & AI Page Generator. mempalace: The best-benchmarked open-source AI memory system. See the comparison table for live GitHub stats and shared categories.
- When should I choose memfree over mempalace?
- Choose memfree over mempalace when memfree is primarily TypeScript; mempalace is Python; Pricing: Open-Source under MIT License, but commercial support might come with additional costs; Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation.; Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector; When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying.
- When should I choose mempalace over memfree?
- Choose mempalace over memfree when mempalace is primarily Python; memfree is TypeScript; Tags unique to mempalace: ai, chromadb, embedding, llm; mempalace ships Docker support for self-hosted deployment; When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model.
- When should I avoid memfree?
- When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods. If you do not need an integrated page generator as part of your AI search capabilities.
- When should I avoid mempalace?
- If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher. When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model.
- Is memfree or mempalace more popular on GitHub?
- mempalace has more GitHub stars (59,143 vs 1,505). Stars measure visibility, not whether either tool fits your constraints.
- Are memfree and mempalace open source?
- Yes - both are open-source projects on GitHub (memfree: MIT, mempalace: MIT).
- Where can I find alternatives to memfree or mempalace?
- GraphCanon lists graph-backed alternatives at memfree alternatives and mempalace alternatives (memfree markdown twin, mempalace 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, memfree or mempalace?
- memfree: Steady. mempalace: 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 memfree and mempalace?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memfree trust report; mempalace trust report.