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markdown-memory

PyPIInfrastructure

PulseGate's liveness check found it on 30 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 30 Sep 2026. How this is checked

markdown-memory is an open-source MCP server that indexes Markdown files and returns the most relevant sections to coding agents. It combines BM25 keyword search with local ONNX embeddings in SQLite, requiring no API keys or network access.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Finding the relevant documentation section for coding-agent questions without sending files to a remote service.

Inferred · not functionally tested

Audience: developers building or using coding agents

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · 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.

markdown-memory is a RAG, search & retrieval project. Inferred · not functionally tested: It focuses on finding the relevant documentation section for coding-agent questions without sending files to a remote service. Inferred · not functionally tested: It is built as an open-source project for developers building or using coding agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

It is developed by Hisham Karam, and it first shipped in 2026. Development happens publicly on GitHub with 38 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are markdown indexing, hybrid search, and BM25 search. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Markdown indexing
  • Hybrid search
  • BM25 search
  • ONNX embeddings
  • SQLite storage
  • Semantic search

Topics: Inferred · not functionally tested

Tags
markdown-retrievalhybrid-searchbm25onnx-embeddingsmcp-server
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Written with
Claude CodeCursor
Connectors
MCP
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
.claude/
Cursor
.cursorrules

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

19

What PulseGate has recorded for this listing

  1. Indexed9 Oct · 06:18 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed8 Oct · 05:34 UTC
    markdown-memory seen via PyPI Fresh Feed
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  3. Indexed7 Oct · 20:31 UTC
    markdown-memory seen via PyPI Fresh Feed
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  4. Indexed7 Oct · 15:56 UTC
    markdown-memory seen via PyPI Fresh Feed
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  5. Indexed5 Oct · 07:02 UTC
    markdown-memory seen via PyPI Fresh Feed
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  6. Indexed4 Oct · 10:02 UTC
    markdown-memory seen via PyPI Fresh Feed
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  7. Indexed4 Oct · 05:13 UTC
    markdown-memory seen via PyPI Fresh Feed
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  8. Indexed3 Oct · 14:45 UTC
    markdown-memory seen via PyPI Fresh Feed
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  9. Indexed2 Oct · 20:32 UTC
    markdown-memory seen via PyPI Fresh Feed
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  10. Indexed2 Oct · 13:02 UTC
    markdown-memory seen via PyPI Fresh Feed
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  11. Indexed1 Oct · 08:54 UTC
    markdown-memory seen via PyPI Fresh Feed
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  12. Indexed1 Oct · 06:30 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  13. Indexed1 Oct · 05:41 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  14. Indexed30 Sep · 17:54 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  15. Indexed30 Sep · 17:06 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  16. Indexed30 Sep · 15:14 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  17. Indexed30 Sep · 11:13 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  18. Indexed30 Sep · 04:15 UTC
    markdown-memory seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  19. Indexed30 Sep · 03:43 UTC
    markdown-memory seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about markdown-memory

What does markdown-memory do?
Inferred · not functionally tested: Markdown-memory focuses on finding the relevant documentation section for coding-agent questions without sending files to a remote service. It is catalogued under RAG, search & retrieval on PulseGate.
Who is markdown-memory for?
Inferred · not functionally tested: markdown-memory is an open-source project built for developers building or using coding agents.
Is markdown-memory free?
Basis unknown · not verified: Yes — markdown-memory is open source under the MIT license and free to use.
What platforms does markdown-memory run on?
Basis unknown · not verified: markdown-memory runs on the command line. It can also be self-hosted.
Is markdown-memory still maintained?
PulseGate's liveness check found it on 30 Sep 2026. Its GitHub repository shows 38 commits in the last 90 days.
What are alternatives to markdown-memory?
Similar projects tracked by PulseGate include memory-boost, memtomem, and memo.memory-boostmemtomemmemo
Who develops markdown-memory?
markdown-memory is developed by Hisham Karam.
How long has markdown-memory been around?
markdown-memory first shipped in 2026.

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