Memoweft MCP server
io.github.memoweft/memoweft·v0.2.3·4 starsPortable AI memory as MCP tools: five reads and three controlled writes.
4 stars30 downloads/wk
Reviews
Write oneNobody has reviewed Memoweft yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Memoweft tools (8)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
memoweft_graphBuild a memory graph payload (nodes, edges, stats) for a subject. Read-only. Archived cognitions are excluded unless includeArchived is true.
memoweft_ingest_tool_resultStore the verbatim result payload returned by a tool execution as evidence (source kind: tool).
memoweft_ingest_user_messageStore a single verbatim user message as spoken evidence. This only records the raw message; it does not update the profile, run consolidation, or grant any cloud-read authorization.
memoweft_list_cognitionsList all stored cognitions for a subject, each with its evidence links and a read-time effective confidence. Read-only.
memoweft_list_eventsList all stored events for a subject, each with the ids of the evidence it covers. Read-only.
memoweft_list_evidenceList all stored evidence (raw sources) for a subject. Read-only; does not expose or change authorization bits.
memoweft_mute_cognitionToggle whether a single cognition is excluded from recall (recall negative feedback).
memoweft_recallRecall stored knowledge relevant to a query. Returns cognitions with confidence and credibility status; low-credibility items are guesses, not established facts.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- Code scan12 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 10 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
How Memoweft compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 89/100
- higher than 80% of 48,255 servers
- Tools
- 8
- the typical server has 7
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 4
- more than 82% of 28,688 servers
- Downloads a week
- 30
- more than 18% of 12,191 servers with a package
What its tools let an agent do: 8 read
Install Memoweft in Claude Code, Cursor or VS Code
Runs npx -y @memoweft/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add memoweft -- npx -y @memoweft/mcp-server
What the publisher says
From the Memoweft repository's README, as published. We do not edit it. Read it on GitHub
MemoWeft
Give your AI a memory—without turning its guesses into your facts.
MemoWeft is an open-source long-term memory engine for TypeScript AI applications. It keeps what users said, what systems observed, what models inferred, and what remains conflicted as distinct records—so memory can be inspected, corrected, managed, and moved between hosts in SQLite controlled by your application.
Why · Offline demo · Quickstart · Integrations · Trust · Docs
English · 简体中文
[!IMPORTANT]
MemoWeft is a library your application imports—not a chat product, hosted memory service, persona framework, vector database, or agent framework.
Why AI memory needs a paper trail
AI can already hold a convincing conversation. What it often lacks is reliable continuity.
Across conversations, important context can disappear. New information may quietly replace old information. A model's guess may return later as if the user had stated it. Move to another model or host, and the accumulated memory may be left behind.
MemoWeft does not ask a model to declare the truth. It preserves where information came from, when it appeared, what contradicts it, and why a memory was formed—so applications and users can inspect the path from evidence to recall.
Evidence stays evidence User statements, observations, tool results, and model inferences keep distinct provenance. Conflict stays visible Corrections retain history. Unresolved contradictions are exposed instead of silently overwritten. Memory stays yours Hosts can inspect, manage, export, validate, and import versioned memory bundles.
Confidence is computed by rule rather than copied from a model's self-assessment. Transient states can age faster than durable facts and preferences. Built-in ingestion paths do not turn an assistant's own reply into user evidence simply because the assistant said it.
Explore the six memory-discipline rules · Read the architecture
Try it without an API key
With Node 24 installed:
git clone https://github.com/memoweft/memoweft.git
cd memoweft
npm ci
npm run build
node examples/no-key-demo.tsAfter dependencies are installed, this deterministic demo needs no API key, makes no network calls, uses an in-memory database, and writes nothing to disk.
[limited ] conf 600/1000 The user lives in Osaka — stated memory
[conflicted] conf 480/1000 The user lives in Tokyo — conflict kept, not overwritten
[candidate ] conf 200/1000 The user probably works somewhere central — guess (low confidence)Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Memoweft: common questions
- Is Memoweft MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the Memoweft safety report
- How do I install Memoweft?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Memoweft need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Memoweft maintained?
- The last commit was 51 days ago (2026-09-13). The latest release is v0.2.3.
- What can I use instead of Memoweft?
- Servers from other publishers that do the same job: Deja Vu MCP server.
- How does Memoweft compare with other MCP servers?
- safety score 89/100 (higher than 80% of 48,255 servers); tools 8 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Memoweft
Same job from other publishers: the closest match first, then the best rated.
- Deja Vudeja-vu: local memory over the session histories of forty-three coding agents.not reviewedEstablishedA