AI项目模板目录

一个工具无关的AI项目模板目录,提供可扩展的起始点,适用于任何支持模板合约的脚手架工具。

  • by nanohype
  • TypeScript
  • 本地部署
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在 GitHub 查看 nanohype/nanohype

使用说明

nanohype

A tool-agnostic template catalog for AI-focused projects. Each template is a self-contained, scaffoldable starting point — consumable by any scaffolding tool that reads the template contract.

New here?

  • Building an AI client (Bedrock agent, Claude session, custom orchestrator) and want to ship software on this stack? Start with the Platform Reference and the per-repo AGENTS.md.
  • Scaffolding a project locally? Start with the Quick Start guide — find the right template, scaffold it, and run it in under 2 minutes.

Templates

Templates span four engineering categories plus composable modules. Beyond engineering, the catalog also carries cross-functional templates and agent briefs for design, QA, product, marketing, sales, operations, and customer success — see Cross-Functional Templates below.

AI Systems

Template Description Tags
agentic-loop Autonomous agent with tool registry, memory, provider abstraction, eval harness typescript agent llm
rag-pipeline TypeScript RAG pipeline with chunking, embedding, vector store, retrieval, generation typescript rag embeddings
mcp-server-ts TypeScript MCP server with tool/resource registration and Zod validation mcp typescript tools
mcp-server-python Python MCP server with tool/resource registration mcp python tools
eval-harness Standalone LLM evaluation framework with YAML suites, assertions, and reporters typescript eval testing
prompt-library Versioned prompt management with YAML frontmatter and optional TypeScript SDK prompts yaml versioning
a2a-agent Agent-to-Agent protocol peer with skill registry, transport abstraction, and discovery typescript a2a agents
guardrails Input/output safety filters — prompt injection, PII, content policy, token limits typescript safety filters
multimodal-pipeline Process images, audio, and video with AI models typescript multimodal ai
fine-tune-pipeline LLM fine-tuning pipeline with dataset preparation and training typescript fine-tuning llm
data-pipeline Data ingestion and transformation pipeline typescript data pipeline
agent-orchestrator Multi-agent orchestration with delegation and coordination typescript agents orchestrator
ci-eval CI-integrated LLM evaluation with GitHub Actions typescript eval ci

Applications

Template Description Tags
go-cli Cobra CLI with Viper config, slog logging, GoReleaser release workflow go cli cobra
ts-service Hono HTTP service with database drivers, JWT auth, and OpenTelemetry typescript hono api
go-service Go HTTP service with chi router, repository pattern, and OpenTelemetry go chi api
chrome-ext Chrome extension (Manifest V3) with React sidepanel for AI interactions chrome-extension react vite
vscode-ext VS Code extension with optional React webview and AI provider integration vscode extension typescript
next-app Next.js 15 App Router with streaming AI chat, Tailwind, auth, and database typescript nextjs react
slack-bot Slack bot with event handling and slash commands typescript slack bot
discord-bot Discord bot with command registration and event handling typescript discord bot
electron-app Electron desktop application with IPC and auto-updates typescript electron desktop
api-gateway API gateway with routing, rate limiting, and upstream management typescript gateway api
worker-service Background worker service with job processing typescript worker jobs
spring-boot-service Spring Boot 4 HTTP service on JDK 25 with Spring Data JPA, Flyway, Micrometer + OTel, structured logging java spring-boot api

Infrastructure

Template Description Tags
infra-druid Apache Druid cluster with ingestion and query configuration druid analytics infrastructure
k8s-deploy Kubernetes manifests and Helm chart with Ingress, HPA, and CI/CD kubernetes helm deployment
istio-policy Istio policy bundle — AuthorizationPolicy, RequestAuthentication, JWT issuer + JWKs wiring istio service-mesh auth
monorepo Turborepo/pnpm workspace with shared packages and CI monorepo turborepo pnpm
monitoring-stack Observability infrastructure with metrics, logs, and traces monitoring observability infrastructure

Composable Modules

Template Description Tags
module-auth-ts Authentication middleware with pluggable providers (JWT, Clerk, Auth0, Supabase, API key) auth middleware jwt
module-auth-go Go HTTP auth middleware with pluggable providers (JWT/JWKS, Auth0, Clerk, Supabase, API key) auth go middleware
module-database-ts Drizzle ORM with pluggable drivers (PostgreSQL, SQLite, Turso) database drizzle orm
module-observability-ts OpenTelemetry instrumentation with pluggable exporters (console, OTLP, Datadog) observability opentelemetry tracing
module-storage-ts Blob storage abstraction with pluggable backends (local, S3, R2) storage s3 blob
module-queue-ts Background job processing with pluggable brokers (in-memory, BullMQ, SQS) queue jobs workers
module-cache-ts Caching layer with pluggable backends (memory, Redis) cache redis performance
module-rate-limit-ts Rate limiting with pluggable algorithms (token bucket, sliding window) rate-limit throttle middleware
module-webhook-ts Webhook ingestion and delivery with signature verification webhook events middleware
module-notifications-ts Multi-channel notifications (email, SMS, push) notifications email messaging
module-oauth-delegation-ts Outbound OAuth 2.0 with PKCE, HMAC-signed state cookies, per-user token storage, refresh-before-expiry oauth delegation pkce
module-search-ts Full-text search with pluggable backends (Algolia, Typesense, Meilisearch) search full-text algolia
module-knowledge-base-ts Knowledge base providers (Notion, Confluence, Google Docs, Coda) normalized to markdown knowledge-base notion confluence
module-project-mgmt-ts Project management providers (Linear, Jira, Asana, Shortcut) linear jira pm
module-analytics-ts Product analytics with pluggable backends (Segment, PostHog, Mixpanel, Amplitude) analytics events posthog
module-media-ts Media processing and delivery (Cloudinary, Uploadcare, imgix) media images cdn
module-llm-gateway LLM provider gateway with routing and fallback llm gateway ai
module-llm-providers Shared LLM provider pack (Anthropic, OpenAI, Groq core; Bedrock/Vertex/HF/Ollama optional) llm providers ai
module-vector-store Vector store abstraction with pluggable backends vectors embeddings ai
module-semantic-cache Semantic caching for LLM responses using embeddings cache semantic ai
module-llm-observability LLM-specific observability with cost and latency tracking observability llm cost
module-billing-ts Usage-based billing and subscription management billing payments saas
module-feature-flags-ts Feature flag management with evaluation rules feature-flags toggles configuration
module-spring-security Drop-in Spring Security module — OIDC JWT resource server, header API keys, multi-provider filter chain java spring-security oidc

Cross-Functional Templates

Beyond engineering, the catalog ships templates and agent briefs for design, QA, product, marketing, sales, operations, and customer success. Examples: prd-template, test-plan, design-system, brand-guidelines, runbook, incident-postmortem, onboarding-playbook, proposal-template. Agent briefs (brief-*) scaffold structured instruction documents instead of static files — one per non-engineering persona.

See the catalog reference for the decision matrix and the full per-persona breakdown.

How It Works

Every template lives in templates/<name>/ and contains:

  • template.yaml — declares metadata, variables, conditionals, and hooks per the template contract spec
  • skeleton/ — the file tree to scaffold, with placeholder strings for variable interpolation
  • README.md — when and why to reach for this template

Scaffolding tools read template.yaml, collect variable values from the user, and render skeleton/ with those values substituted for their declared placeholders. The contract is generic — no tool-specific coupling.

Composites

Pre-configured multi-template stacks in composites/:

Composite Use case
proof-of-concept Minimal AI agent + evals — fastest path to a working prototype
ai-chatbot Customer-facing chatbot with agent, service, auth, and deployment
document-intelligence Document search and Q&A with RAG, storage, and database
rag-agent AI agent using RAG as a knowledge tool
safe-ai-agent Agent with guardrails, evals, and prompt management
multi-agent A2A protocol peers with MCP tools, guardrails, and orchestration
ai-web-app Full-stack Next.js app with RAG, auth, database, and observability
mcp-toolkit MCP server with prompts and evals
chrome-ai-extension Chrome extension backed by MCP tools
vscode-ai-extension VS Code extension with AI, MCP, and prompts
production-api Full-stack API with auth, database, cache, rate limiting, queue, observability
go-microservice Go service with evals and Fly.io deployment
background-processor Async job processing with queue, storage, and database
internal-tool CLI or browser extension with MCP tools
enterprise-ai Full enterprise stack — agents, RAG, guardrails, evals, K8s
eval-suite Standalone eval infrastructure with prompts and safety testing
cost-optimized-ai LLM gateway with cost-aware routing, semantic caching, and cost tracking
ai-platform Full AI platform with service, gateway, vectors, pipeline, auth, billing, monitoring
agent-team Multi-agent system with orchestrator, specialized agents, evals, and MCP tools
spring-boot-microservice Spring Boot 4 service on JDK 25 with K8s deploy and optional Grafana + Prometheus + Loki
identity-aware-service Spring Boot 4 service with Istio mesh-edge auth plus Spring Security resource server (defense in depth)
client-engagement Proposal, battle cards, brand guidelines, campaign brief, onboarding playbook (non-engineering)
product-launch Cross-functional launch spanning eng through marketing — Next.js app, design system, PRD, campaign, runbook
research-to-prototype PRD + agentic-loop prototype + optional test plan — idea to validated POC

Composites define which templates to scaffold, where to nest them, and how variables flow across templates. See the composite contract for the specification.

SDK

@nanohype/sdk is the reference implementation of the template rendering contract. Install it as a dependency to build your own scaffolding tool, CLI, MCP server, or CI pipeline on top of nanohype templates.

import { LocalSource, renderTemplate } from '@nanohype/sdk';

const source = new LocalSource({ rootDir: './nanohype' });
const { manifest, files } = await source.fetchTemplate('agentic-loop');
const result = renderTemplate(manifest, files, { ProjectName: 'my-agent' });
// result.files — rendered SkeletonFile[] ready to write to disk

The SDK lives at sdk/ in this repo. See the Consumer Implementation Guide for the full scaffolding algorithm.

Docs

Reference Architectures

Diagrams

Validation

npm install
npm run validate:schema

Or validate a single template:

./scripts/validate.sh templates/go-cli

License

Apache 2.0