Home/Compare/agent-starter-pack vs langchain-serve

Comparison

agent-starter-pack vs langchain-serve

Verdict

Pick agent-starter-pack when requirements: Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks.; pick langchain-serve when tags unique to langchain-serve: autogpt, llm, fastapi, autonomous-agents.

Markdown twin · agent-starter-pack alternatives · langchain-serve alternatives

GraphCanon updated today

agent-starter-pack logo

agent-starter-pack

GoogleCloudPlatform/agent-starter-pack

6.5kpushed Jul 10, 2026
vs
langchain-serve logo

langchain-serve

jina-ai/langchain-serve

1.6kpushed Sep 20, 2023

Trust & integrity

Signalagent-starter-packlangchain-serve
Maintenance
Very active (0d since push)
As of today · github_public_v1
Archived (1025d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · osv@v1

Tagline

agent-starter-pack
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
langchain-serve
⚡ Langchain apps in production using Jina & FastAPI

Stars

agent-starter-pack
6.5k
langchain-serve
1.6k

Forks

agent-starter-pack
1.5k
langchain-serve
133

Open issues

agent-starter-pack
48
langchain-serve
15

Language

agent-starter-pack
Python
langchain-serve
Python

Adopt for

agent-starter-pack
agent-starter-pack is a specialized toolset for deploying AI agents on the Google Cloud Platform with built-in CI/CD, evaluation tools, and observability features.
langchain-serve
-

Persona

agent-starter-pack
-
langchain-serve
-

Runtime

agent-starter-pack
-
langchain-serve
-

License

agent-starter-pack
Apache-2.0
langchain-serve
Apache-2.0

Last pushed

agent-starter-pack
Jul 10, 2026
langchain-serve
Sep 20, 2023

Categories

agent-starter-pack
AI Agents, LLM Frameworks, Inference & Serving
langchain-serve
AI Agents, LLM Frameworks, Inference & Serving

Trust and health

Maintenance

agent-starter-pack
Very active (96%)
langchain-serve
Archived (8%)

Days since push

agent-starter-pack
0d
langchain-serve
1025d

Archived on GitHub

agent-starter-pack
No
langchain-serve
Yes

Open issues (now)

agent-starter-pack
48
langchain-serve
15

Security scan

agent-starter-pack
No lockfile
langchain-serve
No criticals

Full report

agent-starter-pack
Trust report
langchain-serve
Trust report

Shared compatibility

  • Python · agent-starter-pack: Python runtime · langchain-serve: Python runtime

Choose agent-starter-pack if…

  • Requirements: Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks..
  • Tags unique to agent-starter-pack: llmops, agents, gemini, observability.
  • When you require production-ready templates specifically adapted for deployment to Google Cloud.

When NOT to use agent-starter-pack

  • If you are using another cloud provider (e.g., AWS, Azure) and do not plan on moving your operations to Google Cloud.
  • When your team lacks familiarity with Python 3.10+ or does not wish to install and manage dependencies such as the Google Cloud SDK locally.

Choose langchain-serve if…

  • Tags unique to langchain-serve: autogpt, llm, fastapi, autonomous-agents.
  • Leaner open-issue backlog (15).

When NOT to use langchain-serve

  • langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-starter-pack 6.5k · langchain-serve 1.6k (synced Jul 11, 2026).

Common questions

What is the difference between agent-starter-pack and langchain-serve?
agent-starter-pack: Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.. langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-starter-pack over langchain-serve?
Choose agent-starter-pack over langchain-serve when Requirements: Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks.; Tags unique to agent-starter-pack: llmops, agents, gemini, observability; When you require production-ready templates specifically adapted for deployment to Google Cloud.
When should I choose langchain-serve over agent-starter-pack?
Choose langchain-serve over agent-starter-pack when Tags unique to langchain-serve: autogpt, llm, fastapi, autonomous-agents; Leaner open-issue backlog (15).
When should I avoid agent-starter-pack?
If you are using another cloud provider (e.g., AWS, Azure) and do not plan on moving your operations to Google Cloud. When your team lacks familiarity with Python 3.10+ or does not wish to install and manage dependencies such as the Google Cloud SDK locally.
When should I avoid langchain-serve?
langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is agent-starter-pack or langchain-serve more popular on GitHub?
agent-starter-pack has more GitHub stars (6,514 vs 1,639). Stars measure visibility, not whether either tool fits your constraints.
Are agent-starter-pack and langchain-serve open source?
Yes - both are open-source projects on GitHub (agent-starter-pack: Apache-2.0, langchain-serve: Apache-2.0).
Where can I find alternatives to agent-starter-pack or langchain-serve?
GraphCanon lists graph-backed alternatives at agent-starter-pack alternatives and langchain-serve alternatives (agent-starter-pack markdown twin, langchain-serve markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, agent-starter-pack or langchain-serve?
agent-starter-pack: Very active. langchain-serve: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for agent-starter-pack and langchain-serve?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-starter-pack trust report; langchain-serve trust report.