Agnost AI vs Memoria: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Agnost AI and Memoria — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Agnost AI

Agnost Tech Inc

Freemium

Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.

Silent Failure Detection: Reads each trace next to the conversation to catch cases where the run reported success but the user got nothing useful, including broken promises and confidently wrong answers.
Automatic Conversation Clustering: Turns thousands of chats into ranked recurring problems, ordered by user impact and ready to investigate rather than left as raw logs.
Frustration and Churn Signals: Pinpoints where users rage-prompt, get stuck or abandon the conversation, so churn drivers are visible before the user leaves.
Policy and Quality Violation Alerts: Flags hallucinations and quality, policy and compliance breaches with the exact conversation and trace behind each one.
Evidence-Backed Fix Recommendations: Hands over the highest-impact fixes with supporting evidence, a recommended change and the evals needed to ship it safely.
Two-Step Skill Install: Connects to an existing agent by installing an agent skill and running one prompt, with no rebuild of the agent and no separate implementation project.
Feature Request Mining: Surfaces what users repeatedly ask for across conversations, turning support volume into a prioritised roadmap signal.
Live Demo Without Signup: Ships a public interactive demo where you can click any insight and inspect the underlying conversations before creating an account.

Diagnosing Agent Churn: Finding the recurring conversation pattern that makes users abandon a support agent, with the specific chats as evidence.
Auditing Production Agents for Compliance: Reviewing conversations for policy violations and unsupported claims across real traffic rather than a hand-picked sample.
Prioritising Agent Improvements: Deciding which prompt or flow to fix next based on how many users hit each failure cluster instead of on anecdote.
Catching Regressions After a Prompt Change: Watching whether a newly shipped change increases silent failures or user frustration in live conversations.
Building Evals from Real Failures: Turning observed production failures into regression evals so the same bug does not ship twice.
Mining Conversations for Roadmap Input: Extracting repeated feature requests from support and sales chats to feed product planning.

Anas

Freemium

On-device photo and video search that indexes the text, speech, objects and faces in your library — no cloud, no account.

On-Device OCR: Reads the text inside photos, screenshots, documents, whiteboards and video frames in seven languages, making every written word searchable.
Local Whisper Transcription: Runs Whisper directly on the device to transcribe the speech in your videos across 99+ languages, so lectures, meetings and voice notes become searchable text.
Face Detection and Clustering: Detects faces and groups them locally so you can pull up every photo of one person in a single tap, without any cloud face database.
Object Recognition: Identifies objects in your library so queries like "red bicycle" return matching shots even when nothing was ever tagged.
Unified Full-Text Index: Combines text, speech, objects and people into one instant search index that lives entirely on the phone.
Background Indexing: Keeps indexing while the app is closed and prioritises work while the device is charging, so a large library finishes without you babysitting it.
Zero-Account Privacy Model: No sign-up, no upload and no tracking — analytics are anonymous and opt-out, and the app is GDPR-safe by having nothing to collect.
One-Time Purchase Unlock: Memoria Plus removes the 250-media indexing cap forever with a single payment processed by Apple or Google, including future on-device models.

Finding a Document You Photographed: Recovering an invoice, bill or receipt you snapped months ago by searching the words printed on it rather than scrolling the camera roll.
Searching Recorded Lectures and Meetings: Locating the moment a specific term was spoken inside a long video by searching the on-device transcript.
Pulling Every Photo of a Person: Assembling all shots of one friend or family member from a clustered face group for a birthday album or share.
Recovering Saved Screenshots and Memes: Tracking down a screenshot or meme by the text written on it instead of guessing when you saved it.
Working Offline or While Travelling: Searching a full media library on a plane or with no signal, since indexing and search never require a network.
Keeping Sensitive Media Off the Cloud: Making a library of personal, medical or client photos searchable without uploading any of it to a third-party service.