--- title: "agent-skills-eval vs future-agi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/darkrishabh-agent-skills-eval-vs-future-agi-future-agi" tools: ["darkrishabh-agent-skills-eval", "future-agi-future-agi"] --- # agent-skills-eval vs future-agi *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-skills-eval if agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript; pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,. [agent-skills-eval](https://darkrishabh.github.io/agent-skills-eval/) reports 790 GitHub stars, 42 forks, and 15 open issues, last pushed Aug 5, 2026. [future-agi](https://futureagi.com) has 2.0k stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agent-skills-eval's repository](https://github.com/darkrishabh/agent-skills-eval) and [future-agi's repository](https://github.com/future-agi/future-agi). | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Tagline | A test runner for agentskills.io-style AI agent skills | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | | Stars | 790 | 2,032 | | Forks | 42 | 627 | | Open issues | 15 | 961 | | Language | TypeScript | Python | | Adopt for | agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. | Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-skills-eval](/tools/darkrishabh-agent-skills-eval.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 45d | 0d | | Open issues (now) | 15 | 961 | | Stars delta | +153 (30d) | +473 (30d) | | Open issues delta | +4 (30d) | +365 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/darkrishabh-agent-skills-eval/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) | ## Decision facts: agent-skills-eval - **Adopt for:** agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript. ## Decision facts: future-agi - **Pricing:** freemium - 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. - **Adopt for:** Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, - **License detail:** Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. ## Choose when ### Choose agent-skills-eval if… - 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. ### Choose future-agi if… - 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 NOT to use 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 NOT to use 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. ## 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](/tools/darkrishabh-agent-skills-eval/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([agent-skills-eval markdown twin](/tools/darkrishabh-agent-skills-eval/alternatives.md), [future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md)), 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](/compare/darkrishabh-agent-skills-eval-vs-future-agi-future-agi.md) 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](/tools/darkrishabh-agent-skills-eval/trust); [future-agi trust report](/tools/future-agi-future-agi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval`](/api/graphcanon/graph?tool=darkrishabh-agent-skills-eval) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_