Is io.github.Wynelson94/longhand safe to use?

io.github.Wynelson94/longhand has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Wynelson94/longhand?

io.github.Wynelson94/longhand can be installed by cloning its GitHub repository and following the setup instructions in the README.

io.github.Wynelson94/longhand

Local memory for Claude Code. Semantic recall across session history with zero API calls.

UnknownNot tested

AI / ML Entertainment

GitHub

16FNo CVEsunknown

Quick Install

{
  "mcpServers": {
    "io-github-wynelson94-longhand": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

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Should you use this server?

Local memory for Claude Code. Semantic recall across session history with zero API calls.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

Is it maintained?

Commit history unknown.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

Longhand

Persistent local memory for Claude Code. Every tool call, every file edit, every thinking block from every Claude Code session — stored verbatim on your machine. Searchable, replayable, and recallable by fuzzy natural-language questions. Zero API calls. Zero summaries. Zero decisions made by an AI about what's worth remembering.

Claude Code quietly rotates your session files after a few weeks. Longhand captures them into SQLite before they're gone. Once ingested, your history stays forever — even after the source JSONL files are deleted. Install early; the past you don't capture is unrecoverable.

If you have 20+ Claude Code sessions in ~/.claude/projects/, Longhand can find any fix, decision, or conversation you've had in ~126ms — without a single API call.

Does it use a lot of tokens? No — every tool is capped by design. A full recall across 100+ sessions returns ~4K tokens. Reading one raw session JSONL costs 10–50× more. See Token budget.

pip install longhand
longhand setup        # ingest history + install hooks + configure MCP
longhand recall "that stripe webhook bug from last week"

Upgrading from 0.5.9? This release enriches how episode summaries are extracted. Existing stores need a one-time rebuild:

pip install --upgrade longhand
longhand reanalyze    # ~1 min per 100 sessions, idempotent, safe to re-run

Without reanalyze, episodes stored before the upgrade keep their old thin summaries and semantic recall returns weaker matches on that history. New sessions are unaffected.

Status: v0.5.10 — stable, daily-driver tested, security-audited (zero critical findings), on PyPI, available as a Claude Code plugin. Validated against 107 real Claude Code sessions / 53,668 events / 665 git operations / 376 problem→fix episodes / 299 conversation segments across 37 inferred projects. 170 unit tests passing.

Full docs: Longhand Wiki — getting started, CLI reference, MCP tools reference, architecture, and troubleshooting.

The Inversion

Everyone is solving AI memory by making the context window bigger. 1M tokens. 2M tokens. Context-infinite. The whole industry is racing in the same direction: make the model carry more state.

Longhand goes the other direction. The model doesn't need to carry the memory. The disk does.

	Bigger context windows	Longhand
Where it lives	Rented from a model provider	A SQLite file + ChromaDB on your laptop
Cost per query	Tokens × dollars	Zero
Privacy	Goes through someone else's servers	Never leaves your machine
Speed	Seconds to minutes for large contexts	~126ms
Loss	Attention degrades in the middle of long contexts	Every event from the source file, nothing dropped
Persistence	Dies when the window closes	Lives until you delete the file
Across model versions	Doesn't transfer	Same data, any mod

... View full README on GitHub

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score Breakdown

MCPpedia Score

Click each category to see evidence

16F

Last scored 1h ago

How we score →

Security

3/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

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Frequently Asked Questions

Is io.github.Wynelson94/longhand safe to use?: io.github.Wynelson94/longhand has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Wynelson94/longhand?: io.github.Wynelson94/longhand can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.Wynelson94/longhand?: io.github.Wynelson94/longhand is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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