--- title: "future-agi vs promptguard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-mturac-promptguard" tools: ["future-agi-future-agi", "mturac-promptguard"] --- # future-agi vs promptguard *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 promptguard if promptGuard audits prompts for AI agents to ensure safe code generation. [future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [promptguard](https://github.com/mturac/promptguard) has 86 stars, 1 forks, and 0 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [promptguard's repository](https://github.com/mturac/promptguard). | | [future-agi](/tools/future-agi-future-agi.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Audits prompts as behavioral contracts for AI agents. | | Stars | 2,032 | 86 | | Forks | 627 | 1 | | Open issues | 961 | 0 | | Language | Python | Python | | 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, | PromptGuard audits prompts for AI agents to ensure safe code generation. | | 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. | MIT | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 51d | | Open issues (now) | 961 | 0 | | Stars delta | +473 (30d) | +5 (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/mturac-promptguard/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: promptguard - **Adopt for:** PromptGuard audits prompts for AI agents to ensure safe code generation. ## Choose when ### Choose future-agi if… - License: future-agi is Apache-2.0, promptguard 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. ### Choose promptguard if… - License: promptguard is MIT, future-agi is Apache-2.0. - Tags unique to promptguard: audit, prompt-engineering, safety. - When developing AI agents that generate code and need strict adherence to safety standards ## 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 promptguard - If your project does not involve prompting AI for code generation or execution - In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ## Common questions ### What is the difference between future-agi and promptguard? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. promptguard: Audits prompts as behavioral contracts for AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over promptguard? Choose future-agi over promptguard when License: future-agi is Apache-2.0, promptguard 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 choose promptguard over future-agi? Choose promptguard over future-agi when License: promptguard is MIT, future-agi is Apache-2.0; Tags unique to promptguard: audit, prompt-engineering, safety; When developing AI agents that generate code and need strict adherence to safety standards. ### 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 promptguard? If your project does not involve prompting AI for code generation or execution In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ### Is future-agi or promptguard more popular on GitHub? future-agi has more GitHub stars (2,032 vs 86). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and promptguard open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, promptguard: MIT). ### Where can I find alternatives to future-agi or promptguard? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [promptguard alternatives](/tools/mturac-promptguard/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [promptguard markdown twin](/tools/mturac-promptguard/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-mturac-promptguard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or promptguard? future-agi: Very active. promptguard: 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 promptguard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [promptguard trust report](/tools/mturac-promptguard/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/_