--- title: "rebuff vs agent-guardrails-template" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/protectai-rebuff-vs-thearchitectit-agent-guardrails-template" tools: ["protectai-rebuff", "thearchitectit-agent-guardrails-template"] --- # rebuff vs agent-guardrails-template *GraphCanon updated Aug 9, 2026* ## Verdict Pick rebuff if rebuff is a detector for prompt injection attacks on large language models and operates in TypeScript under an Apache-2.0 license; pick agent-guardrails-template if agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines. [rebuff](https://playground.rebuff.ai) reports 1.5k GitHub stars, 141 forks, and 33 open issues, last pushed Aug 7, 2024. [agent-guardrails-template](https://github.com/TheArchitectit/agent-guardrails-template) has 72 stars, 3 forks, and 0 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [rebuff's repository](https://github.com/protectai/rebuff) and [agent-guardrails-template's repository](https://github.com/TheArchitectit/agent-guardrails-template). | | [rebuff](/tools/protectai-rebuff.md) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) | | --- | --- | --- | | Tagline | LLM Prompt Injection Detector | Template repository with AI agent guardrails and safety protocols | | Stars | 1,516 | 72 | | Forks | 141 | 3 | | Open issues | 33 | 0 | | Language | TypeScript | Go | | Adopt for | Rebuff is a detector for prompt injection attacks on large language models and operates in TypeScript under an Apache-2.0 license. | agent-guardrails-template is designed to ensure that AI agents operate within defined boundaries and follow safety guidelines. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-3-Clause | | Categories | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rebuff](/tools/protectai-rebuff.md) | [agent-guardrails-template](/tools/thearchitectit-agent-guardrails-template.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Active (82%) | | Days since push | 727d | 10d | | Archived on GitHub | Yes | No | | Open issues (now) | 33 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/protectai-rebuff/trust.md) | [trust report](/tools/thearchitectit-agent-guardrails-template/trust.md) | ## Decision facts: rebuff - **Adopt for:** Rebuff is a detector for prompt injection attacks on large language models and operates in TypeScript under an Apache-2.0 license. ## 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 rebuff if… - rebuff is primarily TypeScript; agent-guardrails-template is Go. - License: rebuff is Apache-2.0, agent-guardrails-template is BSD-3-Clause. - Tags unique to rebuff: llmops, prompt-engineering, prompt-injection, prompts. - Use Rebuff when you need precise detection of prompt injection vulnerabilities specific to your deployment, especially if it relies heavily on interactions with large language models. ### Choose agent-guardrails-template if… - agent-guardrails-template is primarily Go; rebuff is TypeScript. - License: agent-guardrails-template is BSD-3-Clause, rebuff is Apache-2.0. - Tags unique to agent-guardrails-template: ai-agents, claude, gemini, gpt. - Also covers AI Agents. - agent-guardrails-template ships Docker support for self-hosted deployment. - When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini. ## When NOT to use rebuff - Do not use Rebuff if setting up and managing multiple provider services like Supabase, OpenAI, Pinecone, or Chroma is inconvenient or infeasible for your project requirements. ## 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 rebuff and agent-guardrails-template? rebuff: LLM Prompt Injection Detector. 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 rebuff over agent-guardrails-template? Choose rebuff over agent-guardrails-template when rebuff is primarily TypeScript; agent-guardrails-template is Go; License: rebuff is Apache-2.0, agent-guardrails-template is BSD-3-Clause; Tags unique to rebuff: llmops, prompt-engineering, prompt-injection, prompts; Use Rebuff when you need precise detection of prompt injection vulnerabilities specific to your deployment, especially if it relies heavily on interactions with large language models. ### When should I choose agent-guardrails-template over rebuff? Choose agent-guardrails-template over rebuff when agent-guardrails-template is primarily Go; rebuff is TypeScript; License: agent-guardrails-template is BSD-3-Clause, rebuff is Apache-2.0; Tags unique to agent-guardrails-template: ai-agents, claude, gemini, gpt; Also covers AI Agents; agent-guardrails-template ships Docker support for self-hosted deployment; When developing an AI agent where safety and controlled operations are paramount for LLMs like Claude, GPT, or Gemini. ### When should I avoid rebuff? Do not use Rebuff if setting up and managing multiple provider services like Supabase, OpenAI, Pinecone, or Chroma is inconvenient or infeasible for your project requirements. ### 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 rebuff or agent-guardrails-template more popular on GitHub? rebuff has more GitHub stars (1,516 vs 72). Stars measure visibility, not whether either tool fits your constraints. ### Are rebuff and agent-guardrails-template open source? Yes - both are open-source projects on GitHub (rebuff: Apache-2.0, agent-guardrails-template: BSD-3-Clause). ### Where can I find alternatives to rebuff or agent-guardrails-template? GraphCanon lists graph-backed alternatives at [rebuff alternatives](/tools/protectai-rebuff/alternatives) and [agent-guardrails-template alternatives](/tools/thearchitectit-agent-guardrails-template/alternatives) ([rebuff markdown twin](/tools/protectai-rebuff/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/protectai-rebuff-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, rebuff or agent-guardrails-template? rebuff: Archived. agent-guardrails-template: 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 rebuff and agent-guardrails-template? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rebuff trust report](/tools/protectai-rebuff/trust); [agent-guardrails-template trust report](/tools/thearchitectit-agent-guardrails-template/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=protectai-rebuff`](/api/graphcanon/graph?tool=protectai-rebuff) - 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/_