Nanobot is a standalone MCP host: a service that connects MCP servers, a language model, and context to provide an agent interface such as a chatbot. It is for building deployable MCP- and MCP-UI-based agents, including dedicated assistants for games, shopping, and other services. Catalogue entries provide example agents and extensions.
Borrowing it
Nothing to install: this file belongs to obot-platform/nanobot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/obot-platform/nanobot/main/CLAUDE.mdgit clone --depth 1 https://github.com/obot-platform/nanobotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/obot-platform/nanobot/claude-md)<a href="https://agentmods.dev/instructions/obot-platform/nanobot/claude-md"><img src="https://agentmods.dev/badge/instructions/obot-platform/nanobot/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01662 | $0.01662 |
| Opus 5 | $0.00831 | $0.00831 |
| Sonnet 5 | $0.00332 | $0.00332 |
| Haiku 4.5 | $0.00166 | $0.00166 |
Grade A, and why
nanobot CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Nanobot is a standalone MCP (Model Context Protocol) host that enables building agents with MCP and MCP-UI. Unlike built-in MCP hosts in applications like VSCode, Claude, or ChatGPT, Nanobot is designed to be an open-source, deployable solution that combines MCP servers with LLMs to create agent experiences through external interfaces such as Obot. The project is written in Go.
Technology Stack:
- Go 1.26.0 with GORM (SQLite, MySQL, PostgreSQL) and goja (JavaScript runtime for hooks)
Build and Development Commands
Backend (Go)
# Build the nanobot binary
make
# Run nanobot with a configuration file
./bin/nanobot run ./nanobot.yaml
# Run Go tests
go test ./...
# Run a specific test
go test ./pkg/agents -run TestName
# Format Go code
gofmt -w .
Architecture Overview
Backend Architecture
Core Components:
-
Runtime (
pkg/runtime/) - Main orchestration layer that initializes the system. Creates and wires together the LLM client, tool service, agents, and sampling components. Manages the overall execution environment. -
Agents (
pkg/agents/) - Agent execution engine that handles tool mapping, request population, and agent interactions. Responsible for running agents backed by LLMs with access to tools. -
Tools Service (
pkg/tools/) - Central registry for tools and agents. Handles tool discovery, mapping, and execution delegation. Manages MCP server connections. -
MCP Layer (
pkg/mcp/) - MCP protocol implementation including sessions, clients, servers, and wire protocols. Handles both stdio and HTTP transports. Key types:Session- Manages MCP session lifecycle and message routingClient- MCP client implementation for connecting to serversWire- Protocol transport abstraction (stdio/HTTP)
-
LLM Integration (
pkg/llm/) - Abstraction over different LLM providers (OpenAI, Anthropic). Routes requests to appropriate providers based on model names. Handles both completion and response APIs.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 163 lines · 1,662 tokens per session scan A 11ebe1d25dc9
nanobot CLAUDE.md is an instructions file published in the GitHub repository obot-platform/nanobot (1,338 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,662 tokens to every session, about $0.0083 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.