trovex Compare Answers Setup star on GitHub

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trovex for a fleet of agents

Run several coding agents on one repo — Claude Code, Cursor, your own — and each one re-derives the same context from scratch. Point the whole fleet at one trovex store and what one agent learns, the rest read back. About 60% fewer tokens, and no re-derivation.

The idea

trovex is one local store with a shared write path. Every agent reads the same canonical answer and writes records the others pick up — so the fleet behaves like a team with one memory, not a room of strangers each starting from zero.

trovex is open source and in public beta. The five steps below run in about a minute — no account, no keys to start.

Quickstart: one store, the whole fleet

  1. Install trovex.
    uv tool install git+https://github.com/TsukumoHQ/trovex
  2. Index your repo — the shared store.

    One index every agent reads from. Embeds your markdown locally (SQLite + ONNX), about a minute.

    trovex index /path/to/repo
  3. Point every agent at it.

    Run one server; each agent connects over MCP at http://localhost:8765/mcp. Wire each client with its guide — Claude Code, Cursor, Windsurf.

    trovex serve
  4. See the shared savings.

    One agent figures something out and writes a record once. Every other agent — and your teammates — read it back instead of working it out again. The per-query savings (~60% fewer tokens) compound across the whole fleet. That compounding is the point.

  5. Run it for a team.

    Local and keyless by default. For a team, add an API key so one shared trovex server backs every developer's agents — same store, same canonical answers. See the README for the team setup.

Why a fleet wants it

The cost of running many agents is re-derivation: each session, each agent, each teammate re-reads the repo and works out the same answer again. trovex keeps the answer canonical and serves the one current doc — down to the section, with a freshness marker — and lets any agent write a record the rest read back. So the fleet pays for an answer once, not once per agent. See one source of truth for a fleet of agents for the full pattern.

One store for the whole fleet.

Install, index once, point every agent at it, watch the savings compound — about a minute.

Open source. No cloud, no API keys to start. Your docs never leave your machine.