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Brenner Bot

AI community

Description

Harness the scientific methods of Sydney Brenner using AI Agents

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Brenner Bot

**🌐 Live at [brennerbot.org](https://brennerbot.org)**

[![Coverage](https://codecov.io/gh/Dicklesworthstone/brenner_bot/branch/main/graph/badge.svg)](https://codecov.io/gh/Dicklesworthstone/brenner_bot)

BrennerBot Illustration
Harness the scientific methods of Sydney Brenner using AI Agents


**Brenner Bot is a research "seed crystal"**: a curated primary-source corpus (Sydney Brenner transcripts) plus multi-model syntheses, powering **collaborative scientific research conversations** that follow the "Brenner approach."

πŸ“Š **[End-to-End Test Report: Bio-Inspired Nanochat Session](./ANALYSIS_OF_USING_BRENNERBOT_FOR_BIO_INSPIRED_NANOCHAT.md)** β€” A complete walkthrough demonstrating the Brenner method in action on a real research question about biological vs. synthetic nanoparticle communication.

The north star

This repository integrates with **Agent Mail** (coordination + memory + workflow glue) so multiple coding agents can collaborate as a *research group*:

  • Claude Code running Opus 4.5
  • Codex CLI running GPT‑5.2 (extra-high reasoning)
  • Gemini CLI running Gemini 3

**Critical constraint (non-negotiable):** We do **not** call vendor AI APIs from code. Instead, we coordinate CLI tools via their **subscription tiers** (Claude Max / GPT Pro / Gemini Ultra) running in terminal sessions. Orchestration is *message passing + compilation*, not remote inference.

The agents run in parallel via **ntm** (Named Tmux Manager), coordinating through **Agent Mail** threads, producing structured deltas that get compiled into durable artifacts.

The system includes:

  • A Next.js web app at brennerbot.org β€” human interface for corpus browsing + session viewing (not agent execution)
  • A Bun CLI (brenner) β€” terminal-first workflows for power users
  • A cockpit runtime β€” ntm-based multi-agent