Comparison
agent-starter-pack vs magentic
Verdict
Pick agent-starter-pack when license: agent-starter-pack is Apache-2.0, magentic is MIT; pick magentic when license: magentic is MIT, agent-starter-pack is Apache-2.0.
Markdown twin · agent-starter-pack alternatives · magentic alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agent-starter-pack | magentic |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (121d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
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.
- magentic
- Seamlessly integrate LLMs as Python functions
Stars
- agent-starter-pack
- 6.5k
- magentic
- 2.4k
Forks
- agent-starter-pack
- 1.5k
- magentic
- 127
Open issues
- agent-starter-pack
- 48
- magentic
- 49
Language
- agent-starter-pack
- Python
- magentic
- 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.
- magentic
- -
Persona
- agent-starter-pack
- -
- magentic
- -
Runtime
- agent-starter-pack
- -
- magentic
- -
License
- agent-starter-pack
- Apache-2.0
- magentic
- MIT
Last pushed
- agent-starter-pack
- Jul 10, 2026
- magentic
- Mar 11, 2026
Categories
- agent-starter-pack
- AI Agents, LLM Frameworks, Inference & Serving
- magentic
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agent-starter-pack
- Very active (96%)
- magentic
- Slowing (36%)
Days since push
- agent-starter-pack
- 0d
- magentic
- 121d
Open issues (now)
- agent-starter-pack
- 48
- magentic
- 49
Owner type
- agent-starter-pack
- Organization
- magentic
- User
Full report
- agent-starter-pack
- Trust report
- magentic
- Trust report
Shared compatibility
- Python · agent-starter-pack: Python runtime · magentic: Python runtime
Choose agent-starter-pack if…
- License: agent-starter-pack is Apache-2.0, magentic is MIT.
- 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.
- Also covers Inference & Serving.
- 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 magentic if…
- License: magentic is MIT, agent-starter-pack is Apache-2.0.
- Tags unique to magentic: llm, ai, magenta, chatgpt.
When NOT to use magentic
- Last GitHub push was 122 days ago (slowing maintenance, Mar 11, 2026). Validate activity before betting a new project on magentic.
- 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.
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 (jackmpcollins/magentic) · observed Jul 11, 2026
- GitHub forks (jackmpcollins/magentic) · observed Jul 11, 2026
- Last push (jackmpcollins/magentic) · observed Mar 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-starter-pack 6.5k · magentic 2.4k (synced Jul 11, 2026).
Common questions
- What is the difference between agent-starter-pack and magentic?
- agent-starter-pack: Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.. magentic: Seamlessly integrate LLMs as Python functions. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-starter-pack over magentic?
- Choose agent-starter-pack over magentic when License: agent-starter-pack is Apache-2.0, magentic is MIT; 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; Also covers Inference & Serving; When you require production-ready templates specifically adapted for deployment to Google Cloud.
- When should I choose magentic over agent-starter-pack?
- Choose magentic over agent-starter-pack when License: magentic is MIT, agent-starter-pack is Apache-2.0; Tags unique to magentic: llm, ai, magenta, chatgpt.
- 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 magentic?
- Last GitHub push was 122 days ago (slowing maintenance, Mar 11, 2026). Validate activity before betting a new project on magentic. 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.
- Is agent-starter-pack or magentic more popular on GitHub?
- agent-starter-pack has more GitHub stars (6,514 vs 2,412). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-starter-pack and magentic open source?
- Yes - both are open-source projects on GitHub (agent-starter-pack: Apache-2.0, magentic: MIT).
- Where can I find alternatives to agent-starter-pack or magentic?
- GraphCanon lists graph-backed alternatives at agent-starter-pack alternatives and magentic alternatives (agent-starter-pack markdown twin, magentic 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 magentic?
- agent-starter-pack: Very active. magentic: Slowing. 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 magentic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-starter-pack trust report; magentic trust report.