Topics / #hallucination-detection

Hallucination-detection projects on GitHub

Detecting and verifying factual errors in model outputs.

As of , the most-starred Hallucination-detection projects on GitHub are iFixAi (29.2K stars), aie-book (17.9K stars) and reverify (1.3K stars). GitHub.Locker tracks 5 Hallucination-detection repositories with 48.6K stars combined. The fastest-growing on October 17 was iFixAi, with +380 stars in a day.

5Projects
48.6KStars in total
+402Stars in a day
Browse in the catalog →github.com/topics/hallucination-detection ↗

Hot right now

Most stars gained in a day · Oct 17

+380

iFixAi

ifixai-ai/iFixAi · ★ 29.2K

iFixAi is an independent auditing tool for AI agents: it runs a diagnostic suite against your agent and answers the core question — is the agent doing the job it is supposed to do — with an A-F grade in under 120 seconds.

+17

aie-book

chiphuyen/aie-book · ★ 17.9K

The companion repo for Chip Huyen's book 'AI Engineering' (2025) and a collection of resources for AI engineers: chapter summaries, study notes, prompt examples, case studies. It's a work in progress and keeps growing.

+5

reverify

2akouwu/reverify · ★ 1.3K

Reverify is a tool that stops AI agents from hallucinating facts by making a deterministic toolkit verify every claim the model makes against ground truth, with reverse engineering as the main proving ground.

The all-time top

5 projects · by stars

  1. #1 · ifixai-ai/iFixAi

    iFixAi

    iFixAi is an independent auditing tool for AI agents: it runs a diagnostic suite against your agent and answers the core question — is the agent doing the job it is supposed to do — with an A-F grade in under 120 seconds.

    29.2K
  2. #2 · chiphuyen/aie-book

    aie-book

    The companion repo for Chip Huyen's book 'AI Engineering' (2025) and a collection of resources for AI engineers: chapter summaries, study notes, prompt examples, case studies. It's a work in progress and keeps growing.

    17.9K
  3. #3 · 2akouwu/reverify

    reverify

    Reverify is a tool that stops AI agents from hallucinating facts by making a deterministic toolkit verify every claim the model makes against ground truth, with reverse engineering as the main proving ground.

    1.3K
  1. 4

    jevals

    105openlayer-ai/jevals · Python

    jevals is a Python library for evaluating and guardrailing AI agent traces using 'Jev' decision models instead of a text-generating LLM judge. It bundles every check for a trace into one request that costs a fraction of a cent and returns in a few hundred milliseconds, so you can eval every trace and even run checks inside the agent loop.

  2. 5

    DMI

    65ProjectDMX/DMI · Python

    DMI is a decoupled, asynchronous observability stack that gives real-time access to a running LLM's internal state — residual streams, attention patterns, MLP outputs, KV-cache slices, logits — during inference or training, with minimal overhead.

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