
nanohype
Updated todayby nanohype
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 |
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