Hallucination Mitigation Python Packages

uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

pairl

PAIRL enforces efficient, cost-trackable communication between agents. It uses dual channels to avoid context errors and hallucinations.

agent-readable

A lightweight Python protocol and tool for agent-oriented documentation

fastmemory

FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by upto 100% as in the huggingface benchmarks(22+ SOTA)

extrai-workflow

Structured data extraction with LLM majority vote

phase-slip-sampler

Phase-Slip is a stochastic intervention architecture that operates on the Key-Value Cache of the model. Phase-Slip gently rotates the semantic vectors of the context window, asking the model: "How would you finish this sentence if you looked at it from a slightly different perspective?"

cotarag

Cognitive Thought and Retrieval Augmented Generation - An advanced AI agent framework combining CoTAEngine and AcceleRAG

oscillink

Oscillink — Self‑Optimizing Coherent Memory for Embedding Workflows

ais-client

Python client for AI Immune System (AIS): JSON firewall + guarded LLM fallback.

deco-mllm

[ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation