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
Trust & integrity
| Signal | agent-starter-pack | langchain-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 (GoogleCloudPlatform/agent-starter-pack) · observed Jul 11, 2026
- GitHub forks (GoogleCloudPlatform/agent-starter-pack) · observed Jul 11, 2026
- Last push (GoogleCloudPlatform/agent-starter-pack) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jina-ai/langchain-serve) · observed Jul 11, 2026
- GitHub forks (jina-ai/langchain-serve) · observed Jul 11, 2026
- Last push (jina-ai/langchain-serve) · observed Sep 20, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.