agent-service-toolkit 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.
agent-service-toolkit
LangGraph agent served by FastAPI with a Streamlit chat front end
go-zero
Go web and RPC microservice framework with goctl code generation
Verdict
agent-service-toolkit ranks higher, 74 to 73. Of the 4 score parts we measure for both, agent-service-toolkit leads on 2, go-zero on 1 and 1 is even.
- Adoptiongo-zero leads by 23 points, 91 to 68: a wide gap.
- FreshnessEven at 100.
- Maintenanceagent-service-toolkit leads by 9 points, 62 to 53.
- Agent-readyagent-service-toolkit leads by 55 points, 55 to 0: a wide gap.
Pick agent-service-toolkit if you are
Python developers building LangGraph agents who want a service and chat UI
- Full path from agent to API, client and UI in one repo
- Multiple agents routed by URL path, listed at /info
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 | agent-service-toolkit | go-zero |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 68, popular | 91, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 62, fair | 53, fair |
| Agent-ready | 55, partly | 0, none |
| Facts from GitHub and the README | ||
| Stars | 4.6k | 33.4k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Nov 2026 |
| Last release | None published | Aug 2026 |
| Language | Python | Go |
| Docker | Yes | No |
| GPU | Optional | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
agent-service-toolkit
Python template that wires a LangGraph agent to a FastAPI service with streaming and non-streaming endpoints, a reusable AgentClient, and a Streamlit chat app. It also serves every agent over the AG-UI protocol and includes a ChromaDB RAG agent, chat history via /threads, and LangSmith feedback. Fork it and add agents under src/agents.
Who it is for: Python developers building LangGraph agents who want a service and chat UI
Strengths
- Full path from agent to API, client and UI in one repo
- Multiple agents routed by URL path, listed at /info
- Token and message streaming, plus AG-UI endpoint for CopilotKit-style frontends
- Unit and integration tests, plus smoke tests for Postgres, MongoDB and AG-UI
Weaknesses
- Tied to LangGraph; no other agent framework supported
- Streamlit UI must be edited by hand to match new agents
- Content moderation requires a Groq API key
- Solo maintainer, issues triaged roughly biweekly; no tagged releases
- Python, OpenAI, Ollama, VertexAI, vLLM
- Needs LLM provider API key (e.g. OpenAI), PostgreSQL (in docker compose), ChromaDB (RAG agent), Groq API key (content moderation), LangSmith (optional)
- GitHub template
- Docker
- env example file
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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