--- title: "futureagi-sdk vs hallucination-index" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-futureagi-sdk-vs-rungalileo-hallucination-index" tools: ["future-agi-futureagi-sdk", "rungalileo-hallucination-index"] --- # futureagi-sdk vs hallucination-index *GraphCanon updated Aug 2, 2026* ## Verdict 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 and is licensed under Apache-2.0; pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. [futureagi-sdk](https://app.futureagi.com) reports 48 GitHub stars, 5 forks, and 3 open issues, last pushed Jul 8, 2026. [hallucination-index](https://www.rungalileo.io/hallucinationindex) has 116 stars, 8 forks, and 1 open issues, last pushed Jul 28, 2025. Figures are from public GitHub metadata via [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk) and [hallucination-index's repository](https://github.com/rungalileo/hallucination-index). | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Tagline | Production-grade AI evaluation, prompt management & observability SDK | Initiative to evaluate and rank popular LLMs based on hallucination propensity | | Stars | 48 | 116 | | Forks | 5 | 8 | | Open issues | 3 | 1 | | Language | Python | - | | 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. | Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. | | 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._ | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 25d | 365d | | Open issues (now) | 3 | 1 | | Full report | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | [trust report](/tools/rungalileo-hallucination-index/trust.md) | ## 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. ## Decision facts: hallucination-index - **Adopt for:** Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. ## Choose when ### Choose futureagi-sdk if… - Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails. - Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development. - 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. ### Choose hallucination-index if… - Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai. - Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios. - More GitHub stars (116 vs 48) - visibility, not fit. ## 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. ## When NOT to use hallucination-index - Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. - Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones. ## Common questions ### What is the difference between futureagi-sdk and hallucination-index? futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories. ### When should I choose futureagi-sdk over hallucination-index? Choose futureagi-sdk over hallucination-index when Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; 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 choose hallucination-index over futureagi-sdk? Choose hallucination-index over futureagi-sdk when Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; More GitHub stars (116 vs 48) - visibility, not fit. ### 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. ### When should I avoid hallucination-index? Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones. ### Is futureagi-sdk or hallucination-index more popular on GitHub? hallucination-index has more GitHub stars (116 vs 48). Stars measure visibility, not whether either tool fits your constraints. ### Are futureagi-sdk and hallucination-index open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to futureagi-sdk or hallucination-index? GraphCanon lists graph-backed alternatives at [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) and [hallucination-index alternatives](/tools/rungalileo-hallucination-index/alternatives) ([futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/alternatives.md), [hallucination-index markdown twin](/tools/rungalileo-hallucination-index/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-futureagi-sdk-vs-rungalileo-hallucination-index.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, futureagi-sdk or hallucination-index? futureagi-sdk: Active. hallucination-index: Dormant. 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 futureagi-sdk and hallucination-index? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust); [hallucination-index trust report](/tools/rungalileo-hallucination-index/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-futureagi-sdk`](/api/graphcanon/graph?tool=future-agi-futureagi-sdk) - 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/_