Vayl

Name: Vayl
Author: ac12644

by ac12644version 0.10.0i★ –iRuns on your computer

Registry nameio.github.ac12644/vayl

Install

Overview

Description from the maker (original English)

Reconciling memory for AI agents: a changed fact retires the old value, with history and approval.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: OPENAI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: OPENAI_API_KEY, VAYL_DB

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "vayl": {
      "command": "uvx",
      "args": [
        "vayl-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "VAYL_DB": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add vayl --env OPENAI_API_KEY=your-value --env VAYL_DB=your-value -- uvx vayl-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "vayl": {
      "command": "uvx",
      "args": [
        "vayl-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "VAYL_DB": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "vayl": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vayl-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "VAYL_DB": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

OPENAI_API_KEY secret env
OpenAI key for extraction and embeddings. Leave unset to use a local Ollama model.
VAYL_DB env
Absolute path of the SQLite memory database.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ac12644, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7270 servers in this category
Published to the registry more recently than 71% of the other 7270 servers in this category
Basic checks equal to or better than 100% of the other 7270 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Vayl safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OPENAI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.10.0) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Vayl

The reconciling memory layer for AI agents.

When a fact changes, most agent memory keeps both versions and lets the model guess which is current. Vayl replaces the old value, keeps it in history, and can hold high-stakes changes until a person approves them. It runs locally on SQLite and works with any MCP client: Claude Code, Cursor, Claude Desktop, or your own agent.

A real run with gpt-6-luna and the clinical preset. The patient is fictional. Script: assets/demo/clinical_demo.py

Features

Reconciles changes. A new value supersedes the old one, and "we stopped X" retracts X. A retired fact is never returned as current.
Keeps history. Ask what is true now or what was true before. Every change goes on a signed, tamper-evident audit chain.
Human approval where it matters. Mark slots such as medications as confirm-required, and changes wait in a queue. check_before_act blocks an action that depends on a disputed, stale or just-changed fact.
Small and local. SQLite by default, Postgres for teams. One model call to store a fact and one to answer. Any OpenAI-compatible model, Anthropic, Groq or a local Ollama model.
Built-in presets for clinical, support, finance, sales, coding and assistant memory.

Install

pip install vayl-mcp

Add it to Claude Code:

claude mcp add vayl -e LLM_PROVIDER=openai -e OPENAI_API_KEY=sk-... -e VAYL_DB=$HOME/.vayl/vayl.db -- vayl-mcp

For Cursor, Claude Desktop and other clients, see the quickstart. Run vayl-demo to try reconciliation with no API key.

Use it from code

from vayl import Vayl

with Vayl(user_id="cust_5521") as m: m.remember("Acme's invoice bounced. Account suspended until payment clears.") print(m.recall("Is Acme's account in good standing?"))

No. Acme's account is suspended until payment clears.

Integrations

Agent frameworks. Backends plug into the framework's own memory, so facts are stored and recalled on every turn. Tool adapters give the agent memory tools to call.

Framework	Install	Use
Google ADK	`pip install 'vayl-mcp[adk]'`	`from vayl.integrations.adk import VaylMemoryService` (memory backend)
LlamaIndex	`pip install 'vayl-mcp[llamaindex]'`	`from vayl.integrations.llamaindex import VaylMemory` (memory block)
AutoGen	`pip install 'vayl-mcp[autogen]'`	`from vayl.integrations.autogen import VaylMemory` (memory backend)
LangGraph / LangChain	`pip install 'vayl-mcp[langgraph]'`	`from vayl.integrations.langgraph import VaylMemory` (tools)
OpenAI Agents SDK	`pip install 'vayl-mcp[openai-agents]'`	`from vayl.integrations.openai_agents import VaylMemory` (tools)
CrewAI	`pip install 'vayl-mcp[crewai]'`	`from vayl.integrations.crewai import VaylMemory` (tools)
Pydantic AI	`pip install vayl-mcp 'pydantic-ai-slim[openai,mcp]'`	`MCPToolset` over MCP, no adapter
Agno	`pip install vayl-mcp agno openai`	`MCPTools` over MCP, no adapter
Vercel AI SDK	`npm i @vayl.dev/client ai zod`	`import { vaylTools } from "@vayl.dev/client/vercel"`
Mastra	`npm i @vayl.dev/client @mastra/core zod`	`import { vaylTools } from "@vayl.dev/client/mastra"`

Examples for each are in Agent frameworks.

MCP clients. Install vayl-mcp, then add it to your client: Claude Code · Cursor · VS Code · Windsurf · Zed · Cline · Continue · Codex CLI · Gemini CLI. For a shared team memory, run vayl-server and call it over MCP or REST.

Documentation


Quickstart	Install and connect a client
How Vayl works	Extraction, reconciliation and retrieval
Tutorial: a hospital medication assistant	Clinical preset, critical facts and approval
Tutorial: a customer-support assistant	Account state and safety checks
MCP tools	All 30+ tools
Deploying vayl-server	Team server, auth, Docker, Postgres
Benchmarks	Stale-value and retraction results against Mem0 and Graphiti

Contributing

See CONTRIBUTING.md. The unit tests run offline, with no API key. Good starting points are labeled good first issue.

Security

Data is encrypted at rest by default, and Vayl sends nothing anywhere except to the model endpoints you configure. Vayl is not certified for clinical use and has not been audited by a third party. Report vulnerabilities as described in SECURITY.md.

License

Apache-2.0

Vayl

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Vayl

Features

Install

Use it from code

No. Acme's account is suspended until payment clears.

Integrations

Documentation

Contributing

Security

License