--- title: "awesome-llm-security vs futureagi-sdk" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/corca-ai-awesome-llm-security-vs-future-agi-futureagi-sdk" tools: ["corca-ai-awesome-llm-security", "future-agi-futureagi-sdk"] --- # awesome-llm-security vs futureagi-sdk *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages. [awesome-llm-security](https://github.com/corca-ai/awesome-llm-security) reports 1.6k GitHub stars, 294 forks, and 161 open issues, last pushed Aug 20, 2025. [futureagi-sdk](https://app.futureagi.com) has 48 stars, 5 forks, and 3 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security) and [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk). | | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | | --- | --- | --- | | Tagline | A curation of tools, documents and projects about LLM Security | Production-grade AI evaluation, prompt management & observability SDK | | Stars | 1,637 | 48 | | Forks | 294 | 5 | | Open issues | 161 | 3 | | Language | - | Python | | Adopt for | Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and | Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. | | Persona | - | - | | Runtime | - | - | | License | - | The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 325d | 3d | | Open issues (now) | 161 | 3 | | Full report | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | ## Decision facts: awesome-llm-security - **Hosting:** unknown - **Pricing:** freemium - As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided). - **Adopt for:** Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and ## Decision facts: futureagi-sdk - **Requirements:** Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails - **Adopt for:** Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. - **License detail:** The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. ## Choose when ### Choose awesome-llm-security if… - Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).. - Tags unique to awesome-llm-security: llm, awesome-list, security. - When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs. ### Choose futureagi-sdk if… - Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails. - Tags unique to futureagi-sdk: development, evaluation, dataset, machine-learning. - Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ## When NOT to use awesome-llm-security - When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. - If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications. ## When NOT to use futureagi-sdk - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between awesome-llm-security and futureagi-sdk? awesome-llm-security: A curation of tools, documents and projects about LLM Security. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llm-security over futureagi-sdk? Choose awesome-llm-security over futureagi-sdk when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: llm, awesome-list, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs. ### When should I choose futureagi-sdk over awesome-llm-security? Choose futureagi-sdk over awesome-llm-security when Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: development, evaluation, dataset, machine-learning; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ### When should I avoid awesome-llm-security? When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications. ### When should I avoid futureagi-sdk? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is awesome-llm-security or futureagi-sdk more popular on GitHub? awesome-llm-security has more GitHub stars (1,637 vs 48). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llm-security and futureagi-sdk open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-llm-security or futureagi-sdk? GraphCanon lists graph-backed alternatives at [awesome-llm-security alternatives](/tools/corca-ai-awesome-llm-security/alternatives) and [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) ([awesome-llm-security markdown twin](/tools/corca-ai-awesome-llm-security/alternatives.md), [futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/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/corca-ai-awesome-llm-security-vs-future-agi-futureagi-sdk.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llm-security or futureagi-sdk? awesome-llm-security: Slowing. futureagi-sdk: 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 awesome-llm-security and futureagi-sdk? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-security trust report](/tools/corca-ai-awesome-llm-security/trust); [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=corca-ai-awesome-llm-security`](/api/graphcanon/graph?tool=corca-ai-awesome-llm-security) - 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/_