Reasonbook runs on your own machine — the client starts it, so there is no endpoint to ping. 360 installs a week from npm. Last commit 16 Oct 2026.
Reasonbook: decisions that survive the session, in a local record AI agents keep.
What the code does
We read the source, 1 d ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const check = spawnSync(process.execPath, [ready.cliPath, '--version'], {
fs.existsSync(path.join(home, '.config', name))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add reasonbook -- npx -y @aquex/reasonbook{
"mcpServers": {
"reasonbook": {
"args": [
"-y",
"@aquex/reasonbook"
],
"command": "npx"
}
}
}[mcp_servers.reasonbook]
command = "npx"
args = ["-y", "@aquex/reasonbook"]{
"mcpServers": {
"reasonbook": {
"args": [
"-y",
"@aquex/reasonbook"
],
"command": "npx"
}
}
}{
"mcpServers": {
"reasonbook": {
"args": [
"-y",
"@aquex/reasonbook"
],
"command": "npx"
}
}
}Alternatives to Reasonbook
same job, measured the same wayA local causality ledger: records decisions and the reasons, for an agent to recall.
Project memory across sessions for AI agents. A queryable decision log in the repo.
Local-first, source-grounded memory that survives AI agent sessions.
Govern your AI coding agent: frame the work, review the changes, keep a signed decision record.
Session memory for AI coding agents: records decisions and dead ends, flags what went stale.
Human-in-the-loop for AI agents. Submit choices, get a human decision.
Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.
Docs for agent-manager, the terminal UI that runs AI coding agents as live tmux sessions.
Reasonbook — questions
Answers built from our own checks of this server.