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Mnemosyne

Stores and recalls agent memories in a local SQLite file, using vector and full-text search for retrieval.

Actively maintained

Developer toolsOpen sourceFor developers
mnemosyne.site ↗XGitHubProduct HuntLaunched on Product Hunt · Jun 1, 2026
Open mnemosyne.siteAlternativesSet it up for my teamIs Mnemosyne yours? Claim the card →
At a glanceswept Oct 18, 2026

≈ 3visits/mo

Established · estimate, read Oct 18, 2026

For
Developers building AI agents who need persistent, local, private memory without running servers.
Activity
Actively maintainedrelease 4 days ago
Runs as
SDK
Used for
  • store user preferences as memories for an agent
  • recall relevant past context before an agent responds
  • keep agent memory offline in a local SQLite file
Worth knowingcomputed from what we read · each with its source
  • 3,461 stars on GitHubGitHub ↗
  • 33,765 installs a month on pypipublic registry
  • Publishes llms.txt, a file written for AI assistantsmnemosyne.site ↗
  • Launched on Product Hunt on Jun 1, 2026Product Hunt ↗
Alternatives in Developer toolsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Mnemosyne?

    Stores and recalls agent memories in a local SQLite file, using vector and full-text search for retrieval. It is listed in the Atlas under Developer tools.

  • Who is Mnemosyne for?

    Developers building AI agents who need persistent, local, private memory without running servers.

  • Do people use Mnemosyne?

    Established: ≈ 3 visits/mo · estimate, 2026-10 · 33.8k installs/mo (pypi).

  • Is Mnemosyne still maintained?

    Actively maintained: release 4 days ago.

  • What are alternatives to Mnemosyne?

    In Developer tools, by use: Paragon, Axiom, Mem0, Hindsight, Cosmic, Tavily.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk