Comparison
memfree vs memsearch
Verdict
Pick memfree if memfree; pick memsearch if memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Markdown twin · memfree alternatives · memsearch alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | memfree | memsearch |
|---|---|---|
| Maintenance | Steady (32d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- memfree
- Hybrid AI Search Engine & AI Page Generator
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- memfree
- 1.5k
- memsearch
- 2.5k
Forks
- memfree
- 209
- memsearch
- 231
Open issues
- memfree
- 17
- memsearch
- 240
Language
- memfree
- TypeScript
- memsearch
- Python
Adopt for
- memfree
- memfree
- memsearch
- memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Persona
- memfree
- -
- memsearch
- -
Runtime
- memfree
- -
- memsearch
- -
License
- memfree
- MIT
- memsearch
- MIT
Last pushed
- memfree
- Jul 6, 2026
- memsearch
- Aug 21, 2026
Categories
- memfree
- Data & Retrieval, Vector Databases
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- memfree
- Steady (60%)
- memsearch
- Very active (96%)
Days since push
- memfree
- 32d
- memsearch
- 0d
Open issues (now)
- memfree
- 17
- memsearch
- 240
Stars delta
- memfree
- Unknown
- memsearch
- +155 (30d)
Open issues delta
- memfree
- Unknown
- memsearch
- +9 (30d)
Full report
- memfree
- Trust report
- memsearch
- Trust report
Choose memfree if…
- memfree is primarily TypeScript; memsearch 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 memsearch if…
- memsearch is primarily Python; memfree is TypeScript.
- Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search.
- Also covers AI Agents.
- When you need robust integration with AI agents like Claude Code or Codex
When NOT to use memsearch
- If your application doesn't require integration with specific AI agents like Claude Code
- In cases where only simple text data storage without semantic search is needed
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 Aug 8, 2026
- GitHub forks (memfreeme/memfree) · observed Aug 8, 2026
- Last push (memfreeme/memfree) · observed Jul 6, 2026
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/memsearch) · observed Aug 22, 2026
- GitHub forks (zilliztech/memsearch) · observed Aug 22, 2026
- Last push (zilliztech/memsearch) · observed Aug 21, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: memfree 1.5k · memsearch 2.5k (synced Aug 8, 2026).
Common questions
- What is the difference between memfree and memsearch?
- memfree: Hybrid AI Search Engine & AI Page Generator. memsearch: A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories.
- When should I choose memfree over memsearch?
- Choose memfree over memsearch when memfree is primarily TypeScript; memsearch 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 memsearch over memfree?
- Choose memsearch over memfree when memsearch is primarily Python; memfree is TypeScript; Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search; Also covers AI Agents; When you need robust integration with AI agents like Claude Code or Codex.
- 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 memsearch?
- If your application doesn't require integration with specific AI agents like Claude Code In cases where only simple text data storage without semantic search is needed
- Is memfree or memsearch more popular on GitHub?
- memsearch has more GitHub stars (2,491 vs 1,508). Stars measure visibility, not whether either tool fits your constraints.
- Are memfree and memsearch open source?
- Yes - both are open-source projects on GitHub (memfree: MIT, memsearch: MIT).
- Where can I find alternatives to memfree or memsearch?
- GraphCanon lists graph-backed alternatives at memfree alternatives and memsearch alternatives (memfree markdown twin, memsearch 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 memsearch?
- memfree: Steady. memsearch: 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 memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memfree trust report; memsearch trust report.