Home/Compare/automem vs memsearch

Comparison

automem vs memsearch

Verdict

Pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory; 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 · automem alternatives · memsearch alternatives

GraphCanon updated 4w

automem logo

automem

verygoodplugins/automem

793pushed Jul 18, 2026
vs
memsearch logo

memsearch

zilliztech/memsearch

2.3kpushed Jul 22, 2026

Trust & integrity

Signalautomemmemsearch
Maintenance
Very active (3d since push)
As of 4w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 4w · github_public_v1
Not a fork · Organization account
As of 4w · 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

automem
Graph-vector memory service for durable, relational AI assistant memory
memsearch
A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.

Stars

automem
793
memsearch
2.3k

Forks

automem
99
memsearch
205

Open issues

automem
11
memsearch
231

Language

automem
Python
memsearch
Python

Adopt for

automem
AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
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

automem
-
memsearch
-

Runtime

automem
-
memsearch
-

License

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.
memsearch
MIT

Last pushed

automem
Jul 18, 2026
memsearch
Jul 22, 2026

Categories

automem
AI Agents, Vector Databases
memsearch
AI Agents, Data & Retrieval, Vector Databases

Trust and health

Days since push

automem
3d
memsearch
0d

Open issues (now)

automem
11
memsearch
231

Full report

memsearch
Trust report

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.
  • 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.

Choose memsearch if…

  • Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search.
  • Also covers Data & Retrieval.
  • 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 on cards: automem 793 · memsearch 2.3k (synced Jul 22, 2026).

Common questions

What is the difference between automem and memsearch?
automem: Graph-vector memory service for durable, relational AI assistant memory. 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 automem over memsearch?
Choose automem over memsearch when Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; 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 choose memsearch over automem?
Choose memsearch over automem when Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search; Also covers Data & Retrieval; When you need robust integration with AI agents like Claude Code or Codex.
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.
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 automem or memsearch more popular on GitHub?
memsearch has more GitHub stars (2,336 vs 793). Stars measure visibility, not whether either tool fits your constraints.
Are automem and memsearch open source?
Yes - both are open-source projects on GitHub (automem: MIT, memsearch: MIT).
Where can I find alternatives to automem or memsearch?
GraphCanon lists graph-backed alternatives at automem alternatives and memsearch alternatives (automem 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, automem or memsearch?
automem: Very 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 automem and memsearch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automem trust report; memsearch trust report.

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