tollbooth runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 16 Aug 2026.
Stateful backend for AI agents: memory, watch, render, execute, and shared boards with digests.
What the code does
We read the source, 3 d ago · rules 995398eba69f
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 child = spawn(lang.cmd, lang.args(file), { cwd: dir, detached: true });
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.
Alternatives to tollbooth
same job, measured the same wayProject memory for AI agents: read and keep the user's Listspace boards up to date.
Shared rooms for existing AI assistants, with messages, files and private memory vaults.
Shared, source-backed memory for AI agents on your own Postgres, with an optional document engine.
Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
Project tracker for teams working with AI agents: issues, cycles, docs and shared agent memory.
Shared records for AI agents: engineering decisions, bug history, rules, and work state through MCP.
Shared memory for teams that work with AI agents: meetings, email and calendar in one brain.
Shared, persistent memory for AI agents, with semantic recall and live updates.
tollbooth — questions
Answers built from our own checks of this server.