Is io.github.bolnet/memwright safe to use?

io.github.bolnet/memwright 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.bolnet/memwright?

io.github.bolnet/memwright supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.bolnet/memwright do?

io.github.bolnet/memwright provides 8 tools: memory_add, memory_recall, memory_search, memory_update, memory_health and 3 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.bolnet/memwright?

io.github.bolnet/memwright is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.bolnet/memwright actively maintained?

io.github.bolnet/memwright is actively maintained — last commit was 9 days ago. It has 13 GitHub stars.

io.github.bolnet/memwright

memwright

Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.

13 8 tools GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 9d ago

Works with most clients

Transport: stdio, sse, http

8 tools · ~532 tok

Grade B · 0.3% of 200K ctx

Edit this pageView history

Data AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory": {
      "args": [
        "mcp"
      ],
      "command": "memwright"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-bolnet-memwright)](https://mcppedia.org/s/io-github-bolnet-memwright)

Read me

What io.github.bolnet/memwright does

AI agents forget everything between sessions. Every new conversation starts from zero — no memory of what you built yesterday, what decisions you made, or what your project even does.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'memwright' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked memwright against OSV.dev.

Inventory

Tools (8)

Click any tool to inspect its schema.

~532 tokens total

Inventory

Resources (2)

memory_store

Access to the agent's persistent memory store

memory://store

memory_graph

Access to the entity relationship graph

memory://graph

Inventory

Prompts (2)

session_context

Injects relevant memories into context at session start with 20K token budget

session_summary

Generates a session summary at stop

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.bolnet/memwright safe to use?: io.github.bolnet/memwright 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.bolnet/memwright?: io.github.bolnet/memwright supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.bolnet/memwright do?: io.github.bolnet/memwright provides 8 tools: memory_add, memory_recall, memory_search, memory_update, memory_health and 3 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.bolnet/memwright?: io.github.bolnet/memwright is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.bolnet/memwright actively maintained?: io.github.bolnet/memwright is actively maintained — last commit was 9 days ago. It has 13 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Data AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory": {
      "args": [
        "mcp"
      ],
      "command": "memwright"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-bolnet-memwright)](https://mcppedia.org/s/io-github-bolnet-memwright)

Read me

What io.github.bolnet/memwright does

AI agents forget everything between sessions. Every new conversation starts from zero — no memory of what you built yesterday, what decisions you made, or what your project even does.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'memwright' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Attestor

The memory layer for agent teams. Self-hosted, deterministic retrieval, zero LLM in the critical path.

pip install attestor


Version	`4.0.0` (stable; greenfield rebuild — no v3 migration path)
PyPI	`attestor`
Import	`attestor`
Live site	https://attestor.dev/
Repo	https://github.com/bolnet/attestor
License	MIT

Designed and built by Surendra Singh — building auditable infrastructure for multi-agent AI, with fifteen years of production-systems discipline brought to the memory layer. Companion projects: claude-finance (Claude-powered financial analytics) · private-equity (PE × AI workshop). Reach out if you're hiring senior IC for AI infrastructure.

What it is

Attestor is a memory store for agent teams that need a shared, tenant-isolated memory with bi-temporal replay, deterministic retrieval, and an auditable supersession chain. It runs as a Python library, a Starlette REST service, or an MCP server — same API in all three.

It is built around three claims, each grounded in code:

Bi-temporal — replay any past state. Every memory has both event time (valid_from / valid_until) and transaction time (t_created / t_expired). Nothing is deleted; everything is queryable forever (attestor/temporal/manager.py:43-73, core.py:888-890).
Semantic-first retrieval, no LLM in the hot path. A six-step deterministic pipeline. Same query → same ranking. Unit-testable (attestor/retrieval/orchestrator.py:1-14).
Conversation ingest with auditable conflict resolution. Two-pass speaker-locked extraction, then a four-decision (ADD / UPDATE / INVALIDATE / NOOP) resolver per fact. Every supersession carries an evidence_episode_id (attestor/extraction/conflict_resolver.py:98).

Designed for

Multi-agent products where many LLMs write to the same memory store
Regulated chat systems that need point-in-time reconstruction (compliance, audit, FOIA-style queries)
Self-hosted deployments — your VPC, your Postgres, your Neo4j

Not designed for

A general-purpose vector database
A RAG framework with built-in chunking, reranking, and orchestration
An LLM agent runtime — Attestor is the memory backend; the agent loop is yours

Quick start

1. Install

pip install attestor                 # or: pipx install attestor

Or pull the container (introspection-grade image, single layer over python:3.12-slim, currently linux/amd64):

docker pull ghcr.io/bolnet/attestor:latest      # recommended — anonymous pull, mirrored to all registries below

Same image is mirrored to:

Registry	Pull address
GHCR	`ghcr.io/bolnet/attestor:latest`

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked memwright against OSV.dev.

Inventory

Tools (8)

Click any tool to inspect its schema.

~532 tokens total

Inventory

Resources (2)

memory_store

Access to the agent's persistent memory store

memory://store

memory_graph

Access to the entity relationship graph

memory://graph

Inventory

Prompts (2)

session_context

Injects relevant memories into context at session start with 20K token budget

session_summary

Generates a session summary at stop

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.bolnet/memwright safe to use?: io.github.bolnet/memwright 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.bolnet/memwright?: io.github.bolnet/memwright supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.bolnet/memwright do?: io.github.bolnet/memwright provides 8 tools: memory_add, memory_recall, memory_search, memory_update, memory_health and 3 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.bolnet/memwright?: io.github.bolnet/memwright is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.bolnet/memwright actively maintained?: io.github.bolnet/memwright is actively maintained — last commit was 9 days ago. It has 13 GitHub stars.