---
title: "openfirma vs future-agi"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/firma-ai-openfirma-vs-future-agi-future-agi"
tools: ["firma-ai-openfirma", "future-agi-future-agi"]
---

# openfirma vs future-agi

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick openfirma if openfirma is a policy-enforcing sidecar for AI agents that uses Cedar policies to gate outbound calls, built in Rust under the GPL-3.0 license; 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,.

[openfirma](https://firma-ai.github.io/openfirma/) reports 135 GitHub stars, 9 forks, and 8 open issues, last pushed Sep 11, 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 [openfirma's repository](https://github.com/Firma-AI/openfirma) and [future-agi's repository](https://github.com/future-agi/future-agi).

| | [openfirma](/tools/firma-ai-openfirma.md) | [future-agi](/tools/future-agi-future-agi.md) |
| --- | --- | --- |
| Tagline | Runtime enforcement boundary for AI agents with local sidecar | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications |
| Stars | 135 | 2,032 |
| Forks | 9 | 627 |
| Open issues | 8 | 961 |
| Language | Rust | Python |
| Adopt for | Openfirma is a policy-enforcing sidecar for AI agents that uses Cedar policies to gate outbound calls, built in Rust under the GPL-3.0 license. | 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 | GPL-3.0 | 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._

| | [openfirma](/tools/firma-ai-openfirma.md) | [future-agi](/tools/future-agi-future-agi.md) |
| --- | --- | --- |
| Open issues (now) | 8 | 961 |
| Stars delta | +29 (30d) | +473 (30d) |
| Open issues delta | -9 (30d) | +365 (30d) |
| Full report | [trust report](/tools/firma-ai-openfirma/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) |

## Decision facts: openfirma

- **Adopt for:** Openfirma is a policy-enforcing sidecar for AI agents that uses Cedar policies to gate outbound calls, built in Rust under the GPL-3.0 license.

## 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 openfirma if…

- openfirma is primarily Rust; future-agi is Python.
- License: openfirma is GPL-3.0, future-agi is Apache-2.0.
- Tags unique to openfirma: access-control, agentic-ai, authorization, cedar-policy.
- When you need deterministic and call-level runtime enforcement that specifically leverages Cedar policies tailored for your needs.

### Choose future-agi if…

- future-agi is primarily Python; openfirma is Rust.
- License: future-agi is Apache-2.0, openfirma is GPL-3.0.
- 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 openfirma

- Avoid if you prefer a solution not tightly coupled to Cedar policies, as Openfirma exclusively supports this policy framework.
- Do not use if licensing is critical and you need permissive licenses, since Openfirma uses the GPL-3.0 license.

## 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 openfirma and future-agi?

openfirma: Runtime enforcement boundary for AI agents with local sidecar. 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 openfirma over future-agi?

Choose openfirma over future-agi when openfirma is primarily Rust; future-agi is Python; License: openfirma is GPL-3.0, future-agi is Apache-2.0; Tags unique to openfirma: access-control, agentic-ai, authorization, cedar-policy; When you need deterministic and call-level runtime enforcement that specifically leverages Cedar policies tailored for your needs.

### When should I choose future-agi over openfirma?

Choose future-agi over openfirma when future-agi is primarily Python; openfirma is Rust; License: future-agi is Apache-2.0, openfirma is GPL-3.0; 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 openfirma?

Avoid if you prefer a solution not tightly coupled to Cedar policies, as Openfirma exclusively supports this policy framework. Do not use if licensing is critical and you need permissive licenses, since Openfirma uses the GPL-3.0 license.

### 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 openfirma or future-agi more popular on GitHub?

future-agi has more GitHub stars (2,032 vs 135). Stars measure visibility, not whether either tool fits your constraints.

### Are openfirma and future-agi open source?

Yes - both are open-source projects on GitHub (openfirma: GPL-3.0, future-agi: Apache-2.0).

### Where can I find alternatives to openfirma or future-agi?

GraphCanon lists graph-backed alternatives at [openfirma alternatives](/tools/firma-ai-openfirma/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([openfirma markdown twin](/tools/firma-ai-openfirma/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/firma-ai-openfirma-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, openfirma or future-agi?

openfirma: 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 openfirma and future-agi?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openfirma trust report](/tools/firma-ai-openfirma/trust); [future-agi trust report](/tools/future-agi-future-agi/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=firma-ai-openfirma`](/api/graphcanon/graph?tool=firma-ai-openfirma)
- 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/_
