Comparison
meme-search vs memsearch
Verdict
Pick meme-search if meme-search is an open-source meme search engine for self-hosting that uses Python, Ruby and Docker with semantic searching capabilities via machine learning algorithms; 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 · meme-search alternatives · memsearch alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | meme-search | memsearch |
|---|---|---|
| Maintenance | Active (16d since push) As of 4d · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · 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
- meme-search
- An open-source meme search engine designed for self-hosting using Python, Ruby and Docker.
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- meme-search
- 717
- memsearch
- 2.5k
Forks
- meme-search
- 27
- memsearch
- 231
Open issues
- meme-search
- 2
- memsearch
- 240
Language
- meme-search
- Ruby
- memsearch
- Python
Adopt for
- meme-search
- meme-search is an open-source meme search engine for self-hosting that uses Python, Ruby and Docker with semantic searching capabilities via machine learning algorithms.
- 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
- meme-search
- -
- memsearch
- -
Runtime
- meme-search
- -
- memsearch
- -
License
- meme-search
- Apache-2.0
- memsearch
- MIT
Last pushed
- meme-search
- Aug 5, 2026
- memsearch
- Aug 21, 2026
Categories
- meme-search
- Data & Retrieval, Vector Databases
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- meme-search
- Active (82%)
- memsearch
- Very active (96%)
Days since push
- meme-search
- 16d
- memsearch
- 0d
Open issues (now)
- meme-search
- 2
- memsearch
- 240
Stars delta
- meme-search
- +22 (30d)
- memsearch
- +155 (30d)
Open issues delta
- meme-search
- +2 (30d)
- memsearch
- +9 (30d)
Owner type
- meme-search
- User
- memsearch
- Organization
Full report
- meme-search
- Trust report
- memsearch
- Trust report
Choose meme-search if…
- meme-search is primarily Ruby; memsearch is Python.
- License: meme-search is Apache-2.0, memsearch is MIT.
- Tags unique to meme-search: ai, docker, homelab, machine-learning.
- meme-search ships Docker support for self-hosted deployment.
- You require a specialized tool designed to specifically locate memes in your collection or the web using a self-hosted solution.
When NOT to use meme-search
- The need arises for a ready-to-use cloud-based service without managing local hosting configurations, as meme-search requires setting up locally using Docker.
- If the focus is on general-purpose data retrieval or vector database management that does not involve memes or specific self-hosted setups.
Choose memsearch if…
- memsearch is primarily Python; meme-search is Ruby.
- License: memsearch is MIT, meme-search is Apache-2.0.
- Tags unique to memsearch: agent-memory, long-term-memory, milvus.
- 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 (neonwatty/meme-search) · observed Aug 22, 2026
- GitHub forks (neonwatty/meme-search) · observed Aug 22, 2026
- Last push (neonwatty/meme-search) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 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: meme-search 717 · memsearch 2.5k (synced Aug 22, 2026).
Common questions
- What is the difference between meme-search and memsearch?
- meme-search: An open-source meme search engine designed for self-hosting using Python, Ruby and Docker.. 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 meme-search over memsearch?
- Choose meme-search over memsearch when meme-search is primarily Ruby; memsearch is Python; License: meme-search is Apache-2.0, memsearch is MIT; Tags unique to meme-search: ai, docker, homelab, machine-learning; meme-search ships Docker support for self-hosted deployment; You require a specialized tool designed to specifically locate memes in your collection or the web using a self-hosted solution.
- When should I choose memsearch over meme-search?
- Choose memsearch over meme-search when memsearch is primarily Python; meme-search is Ruby; License: memsearch is MIT, meme-search is Apache-2.0; Tags unique to memsearch: agent-memory, long-term-memory, milvus; Also covers AI Agents; When you need robust integration with AI agents like Claude Code or Codex.
- When should I avoid meme-search?
- The need arises for a ready-to-use cloud-based service without managing local hosting configurations, as meme-search requires setting up locally using Docker. If the focus is on general-purpose data retrieval or vector database management that does not involve memes or specific self-hosted setups.
- 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 meme-search or memsearch more popular on GitHub?
- memsearch has more GitHub stars (2,491 vs 717). Stars measure visibility, not whether either tool fits your constraints.
- Are meme-search and memsearch open source?
- Yes - both are open-source projects on GitHub (meme-search: Apache-2.0, memsearch: MIT).
- Where can I find alternatives to meme-search or memsearch?
- GraphCanon lists graph-backed alternatives at meme-search alternatives and memsearch alternatives (meme-search 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, meme-search or memsearch?
- meme-search: Active. 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 meme-search and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: meme-search trust report; memsearch trust report.