--- title: "future-agi vs pentagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-vxcontrol-pentagi" tools: ["future-agi-future-agi", "vxcontrol-pentagi"] --- # future-agi vs pentagi *GraphCanon updated Aug 20, 2026* ## Verdict Pick future-agi if future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails; pick pentagi if pentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. [future-agi](https://futureagi.com) reports 1.6k GitHub stars, 449 forks, and 596 open issues, last pushed Aug 1, 2026. [pentagi](https://pentagi.com) has 22k stars, 2.9k forks, and 46 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [pentagi's repository](https://github.com/vxcontrol/pentagi). | | [future-agi](/tools/future-agi-future-agi.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Tagline | End-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Fully autonomous AI Agents system for complex penetration testing tasks | | Stars | 1,559 | 21,902 | | Forks | 449 | 2,904 | | Open issues | 596 | 46 | | Language | Python | Go | | Adopt for | Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. | PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 13d | | Open issues (now) | 596 | 46 | | Stars delta | Unknown | +910 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/vxcontrol-pentagi/trust.md) | ## Decision facts: future-agi - **Pricing:** freemium - Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. ## Decision facts: pentagi - **Requirements:** Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed. - **Adopt for:** PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. ## Choose when ### Choose future-agi if… - future-agi is primarily Python; pentagi is Go. - License: future-agi is Apache-2.0, pentagi is MIT. - Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to future-agi: ai-gateway, docker-compose, evals, llm. - - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds. ### Choose pentagi if… - pentagi is primarily Go; future-agi is Python. - License: pentagi is MIT, future-agi is Apache-2.0. - Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.. - Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools. - Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ## When NOT to use future-agi - - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'. ## When NOT to use pentagi - Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step. - Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license. ## Common questions ### What is the difference between future-agi and pentagi? future-agi: End-to-end platform for evaluating, observing, and improving LLM and AI agent applications. pentagi: Fully autonomous AI Agents system for complex penetration testing tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over pentagi? Choose future-agi over pentagi when future-agi is primarily Python; pentagi is Go; License: future-agi is Apache-2.0, pentagi is MIT; Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, llm; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds. ### When should I choose pentagi over future-agi? Choose pentagi over future-agi when pentagi is primarily Go; future-agi is Python; License: pentagi is MIT, future-agi is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.; Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools; Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ### When should I avoid future-agi? - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'. ### When should I avoid pentagi? Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step. Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license. ### Is future-agi or pentagi more popular on GitHub? pentagi has more GitHub stars (21,902 vs 1,559). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and pentagi open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, pentagi: MIT). ### Where can I find alternatives to future-agi or pentagi? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [pentagi alternatives](/tools/vxcontrol-pentagi/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [pentagi markdown twin](/tools/vxcontrol-pentagi/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-vxcontrol-pentagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or pentagi? future-agi: Very active. pentagi: 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 future-agi and pentagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [pentagi trust report](/tools/vxcontrol-pentagi/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/_