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memdoctor

PyPIInfrastructure

PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 5 Oct 2026. How this is checked

memdoctor is a command-line tool for checking and repairing long-term memory stores used by AI agents. It targets memory systems built with vector databases and SQLite-vec, with observability-oriented diagnostics for developers.

Inferred · not functionally tested

Open SourceUnlicenseCLISelf-hosted
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Overview

5 features

Purpose: Diagnosing and repairing corrupted or inconsistent long-term memory stores for AI agents.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Unlicense · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Memory & skills space, memdoctor takes a focused approach. Inferred · not functionally tested: It focuses on diagnosing and repairing corrupted or inconsistent long-term memory stores for AI agents. Inferred · not functionally tested: memdoctor is an open-source project aimed at AI agent developers. Basis unknown · not verified: memdoctor is open source under the Unlicense. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by Maxime Poitevin, and it first shipped in 2026. The project is developed in the open on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are memory checks, memory repair, and vector database support.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Memory checks
  • Memory repair
  • Vector database support
  • SQLite-vec support
  • Observability diagnostics

Topics: Inferred · not functionally tested

Tags
agent-memoryvector-databasesqlite-vecmemory-repair

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Unlicense
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Oct · 14:21 UTC
    memdoctor seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about memdoctor

What is memdoctor?
Inferred · not functionally tested: Memdoctor focuses on diagnosing and repairing corrupted or inconsistent long-term memory stores for AI agents. It is catalogued under Memory & skills on PulseGate.
Who is memdoctor for?
Inferred · not functionally tested: memdoctor is an open-source project built for AI agent developers.
Does memdoctor have a free plan?
Basis unknown · not verified: Yes — memdoctor is open source under the Unlicense and free to use.
What platforms does memdoctor run on?
Basis unknown · not verified: memdoctor runs on the command line. It can also be self-hosted.
Is memdoctor still maintained?
PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 14 commits in the last 90 days.
What are alternatives to memdoctor?
Similar projects tracked by PulseGate include agent-memory-doctor, supermem, and memd.agent-memory-doctorsupermemmemd
Who develops memdoctor?
memdoctor is developed by Maxime Poitevin.
When did memdoctor launch?
memdoctor first shipped in 2026.

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