#6363rd of 89 in Agent platformsFor science, health and research, science, research and papers
brainpilot
Multi-agent research workspace for brain science with an inspectable trace graph
- Stars
- 1.1k
- License
- AGPL-3.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- TypeScript
0 on 9 Jun 20261,073 on 10 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
BrainPilot is a human-in-the-loop research system for neuroscience. A PI agent plans the work and coordinates librarian, experimentalist, engineer, writer and auditor agents, using 72 bundled domain skills, MCP tools and paper databases. Each session is recorded as a Graph of Trace. It installs via npm (Node.js 22+) and serves a local web UI backed by an Anthropic, OpenAI or Azure provider.
Who it is for: Neuroscientists wanting agent-assisted literature review, analysis and audit
Strengths
- Auditor agent checks claims and citations; Graph of Trace records each session
- 72 bundled neuroscience skills, user-editable, loaded on demand from SKILL.md files
- One npm install; BP_MOCK=1 allows a smoke run without an API key
- Anthropic, OpenAI Completions/Responses and Azure providers; context up to 1M tokens
Weaknesses
- Local npm mode has no container isolation; agents read and write directly on the host
- Specific to brain science, a poor fit as a general agent builder
- Each runtime is single-user; multi-user hosting needs a separate data dir per user
- AGPL-3.0 license restricts closed-source network deployments
What it needs
- no GPU
- Docker + Compose
- Needs Node.js >= 22, Model provider API key, Docker (optional, for sandbox)
- Models: Anthropic Messages, OpenAI Completions, OpenAI Responses, Azure OpenAI Responses
What changed
From the release notes. No flag means the note does not say so, not that the upgrade is safe.
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