--- title: "audited-change-gate vs future-agi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/christoansek-audited-change-gate-vs-future-agi-future-agi" tools: ["christoansek-audited-change-gate", "future-agi-future-agi"] --- # audited-change-gate vs future-agi *GraphCanon updated Sep 20, 2026* ## Verdict Pick audited-change-gate if audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees; 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,. [audited-change-gate](https://github.com/ChristoAnsek/audited-change-gate) reports 116 GitHub stars, 0 forks, and 0 open issues, last pushed Sep 12, 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 [audited-change-gate's repository](https://github.com/ChristoAnsek/audited-change-gate) and [future-agi's repository](https://github.com/future-agi/future-agi). | | [audited-change-gate](/tools/christoansek-audited-change-gate.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Tagline | Automated Change Management for AIOps | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | | Stars | 116 | 2,032 | | Forks | 0 | 627 | | Open issues | 0 | 961 | | Language | HTML | Python | | Adopt for | audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees. | 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 | - | 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._ | | [audited-change-gate](/tools/christoansek-audited-change-gate.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Open issues (now) | 0 | 961 | | Stars delta | -35 (30d) | +473 (30d) | | Open issues delta | 0 (30d) | +365 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/christoansek-audited-change-gate/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) | ## Decision facts: audited-change-gate - **Adopt for:** audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees. ## 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 audited-change-gate if… - audited-change-gate is primarily HTML; future-agi is Python. - Tags unique to audited-change-gate: agentic-ai, ai-safety, change-management, verification. - - You require automated validation and execution of infrastructure changes by authorized AI agents ### Choose future-agi if… - future-agi is primarily Python; audited-change-gate is HTML. - 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 audited-change-gate - - If your infrastructure changes need real-time human approval beyond automated checks - - For environments where change immutability is preferred over mutable and reversible states ## 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 audited-change-gate and future-agi? audited-change-gate: Automated Change Management for AIOps. 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 audited-change-gate over future-agi? Choose audited-change-gate over future-agi when audited-change-gate is primarily HTML; future-agi is Python; Tags unique to audited-change-gate: agentic-ai, ai-safety, change-management, verification; - You require automated validation and execution of infrastructure changes by authorized AI agents. ### When should I choose future-agi over audited-change-gate? Choose future-agi over audited-change-gate when future-agi is primarily Python; audited-change-gate is HTML; 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 audited-change-gate? - If your infrastructure changes need real-time human approval beyond automated checks - For environments where change immutability is preferred over mutable and reversible states ### 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 audited-change-gate or future-agi more popular on GitHub? future-agi has more GitHub stars (2,032 vs 116). Stars measure visibility, not whether either tool fits your constraints. ### Are audited-change-gate and future-agi open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to audited-change-gate or future-agi? GraphCanon lists graph-backed alternatives at [audited-change-gate alternatives](/tools/christoansek-audited-change-gate/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([audited-change-gate markdown twin](/tools/christoansek-audited-change-gate/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/christoansek-audited-change-gate-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, audited-change-gate or future-agi? audited-change-gate: Very active. 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 audited-change-gate and future-agi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [audited-change-gate trust report](/tools/christoansek-audited-change-gate/trust); [future-agi trust report](/tools/future-agi-future-agi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=christoansek-audited-change-gate`](/api/graphcanon/graph?tool=christoansek-audited-change-gate) - 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/_