--- title: "future-agi vs skyagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-litanlitudan-skyagi" tools: ["future-agi-future-agi", "litanlitudan-skyagi"] --- # future-agi vs skyagi *GraphCanon updated Sep 20, 2026* ## Verdict 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,; pick skyagi if skyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license. [future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [skyagi](https://skyagi.ai) has 777 stars, 57 forks, and 42 open issues, last pushed Sep 21, 2023. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [skyagi's repository](https://github.com/litanlitudan/skyagi). | | [future-agi](/tools/future-agi-future-agi.md) | [skyagi](/tools/litanlitudan-skyagi.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | SkyAGI provides emerging human-behavior simulation capability in LLM. | | Stars | 2,032 | 777 | | Forks | 627 | 57 | | Open issues | 961 | 42 | | Language | Python | TypeScript | | 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, | SkyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | 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. | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [skyagi](/tools/litanlitudan-skyagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1094d | | Open issues (now) | 961 | 42 | | Stars delta | +473 (30d) | -1 (30d) | | Open issues delta | +365 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/litanlitudan-skyagi/trust.md) | ## 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. ## Decision facts: skyagi - **Requirements:** It requires a valid OpenAI API key for operational purposes. - **Adopt for:** SkyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license. ## Choose when ### Choose future-agi if… - future-agi is primarily Python; skyagi is TypeScript. - 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 Evaluation & Observability. - 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. ### Choose skyagi if… - skyagi is primarily TypeScript; future-agi is Python. - Requirements: It requires a valid OpenAI API key for operational purposes.. - Tags unique to skyagi: ai-agent, aigc, langchain, language-model. - if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application ## 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. ## When NOT to use skyagi - if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations - when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function ## Common questions ### What is the difference between future-agi and skyagi? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. skyagi: SkyAGI provides emerging human-behavior simulation capability in LLM.. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over skyagi? Choose future-agi over skyagi when future-agi is primarily Python; skyagi is TypeScript; 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 Evaluation & Observability; 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 skyagi over future-agi? Choose skyagi over future-agi when skyagi is primarily TypeScript; future-agi is Python; Requirements: It requires a valid OpenAI API key for operational purposes.; Tags unique to skyagi: ai-agent, aigc, langchain, language-model; if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application. ### 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 skyagi? if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function ### Is future-agi or skyagi more popular on GitHub? future-agi has more GitHub stars (2,032 vs 777). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and skyagi open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, skyagi: Apache-2.0). ### Where can I find alternatives to future-agi or skyagi? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [skyagi alternatives](/tools/litanlitudan-skyagi/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [skyagi markdown twin](/tools/litanlitudan-skyagi/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/future-agi-future-agi-vs-litanlitudan-skyagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or skyagi? future-agi: Very active. skyagi: Dormant. 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 skyagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [skyagi trust report](/tools/litanlitudan-skyagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-future-agi`](/api/graphcanon/graph?tool=future-agi-future-agi) - 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/_