agent-skills-eval vs future-agi

Common questions

What is the difference between agent-skills-eval and future-agi?

agent-skills-eval: A test runner for agentskills.io-style AI agent skills. future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories.

When should I choose agent-skills-eval over future-agi?

Choose agent-skills-eval over future-agi when agent-skills-eval is primarily TypeScript; future-agi is Python; License: agent-skills-eval is MIT, future-agi is Apache-2.0; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli; When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.

When should I choose future-agi over agent-skills-eval?

Choose future-agi over agent-skills-eval when future-agi is primarily Python; agent-skills-eval is TypeScript; License: future-agi is Apache-2.0, agent-skills-eval is MIT; 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-evals, ai-gateway, ai-optimization, ai-simulations; 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 avoid agent-skills-eval?

This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework. If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial.

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.

Is agent-skills-eval or future-agi more popular on GitHub?

future-agi has more GitHub stars (2,032 vs 790). Stars measure visibility, not whether either tool fits your constraints.

Are agent-skills-eval and future-agi open source?

Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, future-agi: Apache-2.0).

Where can I find alternatives to agent-skills-eval or future-agi?

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

agent-skills-eval: Steady. future-agi: Very active. 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-skills-eval and future-agi?

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