Hallucination Mitigation Python Packages

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)

specsmith

Lean governance for AI-assisted development: requirements tracking, test enforcement, epistemic context compression, auditable evidence, Grace local REPL, and coding-agent integrations.

uqlm

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

agent-readable

A lightweight Python protocol and tool for agent-oriented documentation

citationguard

证伪优先的引用核验:论文存在性 / 元数据 / 论点支撑三重检查,可被 Claude Code、Codex、Cursor 以 MCP 调用 · Skeptical citation auditor for agent writing workflows · PyPI: citationguard

optimcp

Stop shipping hallucinated numbers. OptiMCP verifies your agent's math and logic against your rules — deterministically, with zero LLM in the loop — and names the exact rule that broke.

deco-mllm

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

pairl

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

cotarag

Agentic-AI framework w/o the headaches

oscillink

Oscillink — Self‑Optimizing Coherent Memory for Embedding Workflows

extrai-workflow

Structured data extraction with LLM majority vote

anchorcite

Anchor AI-generated claims to the exact supporting sentences in their cited sources, with offsets and entailment scores.

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?"

hedgemony

Catch AI code hallucinations—fabricated packages, invented APIs, and contradicted behavior—deterministically, without trusting another model.

ais-client

<<<<<<< HEAD Production firewall & hygiene layer for AI JSON. Stop shipping brittle parsing glue. AIS turns noisy / malformed / risky model JSON into clean, validated, policy‑compliant objects — and only bills when an LLM rescue is actually needed.