full-stack-ai-agent-template vs go-zero
Two of the top projects in Backend and cloud templates, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
full-stack-ai-agent-template
Project generator for FastAPI and Next.js apps with agents and RAG
go-zero
Go web and RPC microservice framework with goctl code generation
Verdict
full-stack-ai-agent-template ranks higher, 78 to 73. Of the 4 score parts we measure for both, full-stack-ai-agent-template leads on 2, go-zero on 1 and 1 is even.
- Adoptiongo-zero leads by 48 points, 91 to 43: a wide gap.
- FreshnessEven at 100.
- Maintenancefull-stack-ai-agent-template leads by 39 points, 92 to 53: a wide gap.
- Agent-readyfull-stack-ai-agent-template leads by 70 points, 70 to 0: a wide gap.
Pick full-stack-ai-agent-template if you are
Python teams scaffolding a full-stack agent product
- Wizard and presets pick framework, vector store, auth and billing per project
- Template upgrades merge into generated projects on a branch
Pick go-zero if you are
Go developers building HTTP or RPC microservices, including AI backends
- goctl generates Go server code and multi-language clients from one .api file
- Adaptive circuit breaker, load shedding and rate limiting built in, no configuration needed
| What we compare | full-stack-ai-agent-template | go-zero |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 43, known | 91, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 92, healthy | 53, fair |
| Agent-ready | 70, partly | 0, none |
| Facts from GitHub and the README | ||
| Stars | 2k | 33.4k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Nov 2026 |
| Last release | Oct 2026 | Aug 2026 |
| Language | Python | Go |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
full-stack-ai-agent-template
CLI (pip install fastapi-fullstack) scaffolding a FastAPI backend and Next.js frontend via a wizard or presets, with Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph or DeepAgents, RAG on Milvus, Qdrant, pgvector or Chroma, WebSocket chat, JWT, OAuth, admin, teams, Stripe billing, Celery, Docker and K8s. make bootstrap starts Postgres, migrations and a seeded admin; projects can pull template upgrades later.
Who it is for: Python teams scaffolding a full-stack agent product
Strengths
- Wizard and presets pick framework, vector store, auth and billing per project
- Template upgrades merge into generated projects on a branch
- Chat UI renders tool calls, plans, subagents, charts and Python execution
- 100% coverage badge and CI on the generator
Weaknesses
- Generator, not a repo to fork; output size depends on options chosen
- Seeds admin@example.com with a fixed password; rotate before exposing
- Optional services (Milvus, Redis, Celery) raise the local footprint
- Windows needs GNU Make or WSL2
- Python, Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph
- Needs PostgreSQL, Redis (optional), Milvus, Qdrant, pgvector or ChromaDB (RAG), Stripe (billing), LLM provider API key
go-zero
go-zero is a Go framework for HTTP and RPC services. Its goctl tool generates server code from .api or .proto files, and client code for Java, Dart, TypeScript, Kotlin and others. It ships built-in timeout control, rate limiting, adaptive circuit breaking and load shedding. It is not an AI project; the README only links optional guidance repos for AI coding assistants.
Who it is for: Go developers building HTTP or RPC microservices, including AI backends
Strengths
- goctl generates Go server code and multi-language clients from one .api file
- Adaptive circuit breaker, load shedding and rate limiting built in, no configuration needed
- Request parameters validated automatically from struct tags in the .api file
- API layer is compatible with net/http; MIT license
Weaknesses
- Not AI-specific; AI tooling lives in separate ai-context, zero-skills and mcp-zero repos
- Services are Go only; other languages get generated clients, not servers
- Opinionated project layout and .api DSL to learn before writing handlers
- Benchmark results are given only as an image, no numbers in the README
- Go
- Needs Go, goctl
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