nano-step/nano-brain

nano-step

Go6updated 4mo ago

Persistent memory & code intelligence server for AI coding agents. Deploy on VPS for shared memory across machines. Hybrid search (BM25 + pgvector), knowledge graph, impact analysis. 14 MCP tools. Works with Claude Code, OpenCode, Cursor, and any MCP client.

ClaudeCodexCursorMCP

ai-agentsai-memoryclaude-codegolanghybrid-searchknowledge-graphmcpopencodepgvectorrag

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README

nano-brain

Persistent memory and code intelligence for AI coding agents.

What It Does
Use Cases
Key Features
Prerequisites
Recommended Models & Free Providers
Quick Start
Verifying Downloads
Configuration
REST API
CLI Commands
MCP Tools
Search Pipeline
Architecture
Migration from V1
Tech Stack
License

What It Does

nano-brain is a persistent memory server for AI coding agents that solves session amnesia. It automatically ingests AI sessions, notes, and codebase files, indexes everything with hybrid search (BM25 + pgvector), and serves memories via MCP tools and REST API. Built in Go with PostgreSQL — single static binary, zero CGO dependencies.

Use Cases

Multi-machine developer (primary use case)

You work on your office PC, home machine, and personal laptop — each with a different Claude Code or OpenCode session. Without shared memory, your AI agent forgets everything between machines.

Deploy nano-brain on a VPS (or any always-on server) with a PostgreSQL instance. Every session you run on any machine gets harvested and indexed there. When you switch machines, your agent picks up exactly where you left off — decisions, context, code knowledge, all there.

Office PC ──┐
             ├──► nano-brain on VPS ──► shared PostgreSQL
Home Mac ───┘

Persistent AI agent memory

AI agents forget everything