---
title: "future-agi vs agent-guardrails-template"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-thearchitectit-agent-guardrails-template"
tools: ["future-agi-future-agi", "thearchitectit-agent-guardrails-template"]
---

# future-agi vs agent-guardrails-template

*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 agent-guardrails-template if agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines.

[future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [agent-guardrails-template](https://github.com/TheArchitectit/agent-guardrails-template) has 79 stars, 2 forks, and 1 open issues, last pushed Sep 8, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [agent-guardrails-template's repository](https://github.com/TheArchitectit/agent-guardrails-template).

| | [future-agi](/tools/future-agi-future-agi.md) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) |
| --- | --- | --- |
| Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Template repository with AI agent guardrails and safety protocols |
| Stars | 2,032 | 79 |
| Forks | 627 | 2 |
| Open issues | 961 | 1 |
| Language | Python | Go |
| 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, | agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines. |
| 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. | BSD-3-Clause |
| 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) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) |
| --- | --- | --- |
| Days since push | 0d | 4d |
| Open issues (now) | 961 | 1 |
| Stars delta | +473 (30d) | +7 (30d) |
| Open issues delta | +365 (30d) | +1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/thearchitectit-agent-guardrails-template/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: agent-guardrails-template

- **Adopt for:** agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines.

## Choose when

### Choose future-agi if…

- future-agi is primarily Python; agent-guardrails-template is Go.
- License: future-agi is Apache-2.0, agent-guardrails-template is BSD-3-Clause.
- 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.
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.

### Choose agent-guardrails-template if…

- agent-guardrails-template is primarily Go; future-agi is Python.
- License: agent-guardrails-template is BSD-3-Clause, future-agi is Apache-2.0.
- Tags unique to agent-guardrails-template: claude, gemini, gpt, llm.
- When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini.

## 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 agent-guardrails-template

- If your project does not require strict operational boundaries and focuses on open-ended exploration over controlled operation.
- When working exclusively outside environments where LLMs like Claude, GPT, or Gemini are employed; the template may not cover unique scenarios.

## Common questions

### What is the difference between future-agi and agent-guardrails-template?

future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. agent-guardrails-template: Template repository with AI agent guardrails and safety protocols. See the comparison table for live GitHub stats and shared categories.

### When should I choose future-agi over agent-guardrails-template?

Choose future-agi over agent-guardrails-template when future-agi is primarily Python; agent-guardrails-template is Go; License: future-agi is Apache-2.0, agent-guardrails-template is BSD-3-Clause; 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; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.

### When should I choose agent-guardrails-template over future-agi?

Choose agent-guardrails-template over future-agi when agent-guardrails-template is primarily Go; future-agi is Python; License: agent-guardrails-template is BSD-3-Clause, future-agi is Apache-2.0; Tags unique to agent-guardrails-template: claude, gemini, gpt, llm; When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini.

### 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 agent-guardrails-template?

If your project does not require strict operational boundaries and focuses on open-ended exploration over controlled operation. When working exclusively outside environments where LLMs like Claude, GPT, or Gemini are employed; the template may not cover unique scenarios.

### Is future-agi or agent-guardrails-template more popular on GitHub?

future-agi has more GitHub stars (2,032 vs 79). Stars measure visibility, not whether either tool fits your constraints.

### Are future-agi and agent-guardrails-template open source?

Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, agent-guardrails-template: BSD-3-Clause).

### Where can I find alternatives to future-agi or agent-guardrails-template?

GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [agent-guardrails-template alternatives](/tools/thearchitectit-agent-guardrails-template/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [agent-guardrails-template markdown twin](/tools/thearchitectit-agent-guardrails-template/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-thearchitectit-agent-guardrails-template.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, future-agi or agent-guardrails-template?

future-agi: Very active. agent-guardrails-template: 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 future-agi and agent-guardrails-template?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [agent-guardrails-template trust report](/tools/thearchitectit-agent-guardrails-template/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/_
