future-agi vs agent-starter-pack

Common questions

What is the difference between future-agi and agent-starter-pack?

future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. See the comparison table for live GitHub stats and shared categories.

When should I choose future-agi over agent-starter-pack?

Choose future-agi over agent-starter-pack when Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers LLM Frameworks; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.

When should I choose agent-starter-pack over future-agi?

Choose agent-starter-pack over future-agi when Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.; Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents; You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines.

When should I avoid future-agi?

You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.

When should I avoid agent-starter-pack?

Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups.

Is future-agi or agent-starter-pack more popular on GitHub?

agent-starter-pack has more GitHub stars (6,558 vs 2,032). Stars measure visibility, not whether either tool fits your constraints.

Are future-agi and agent-starter-pack open source?

Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, agent-starter-pack: Apache-2.0).

Where can I find alternatives to future-agi or agent-starter-pack?

GraphCanon lists graph-backed alternatives at future-agi alternatives and agent-starter-pack alternatives (future-agi markdown twin, agent-starter-pack 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, future-agi or agent-starter-pack?

future-agi: Very active. agent-starter-pack: Steady. 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 future-agi and agent-starter-pack?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; agent-starter-pack trust report.