Cognitive Physics vs LM Pocket
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Cognitive Physics
This app transforms your device into a truth-seeking instrument by training a personal AI to research alongside you. It guides you to ask better questions, verify claims, and build a permanent knowledge base from your imported materials. Designed for serious workflows, it focuses on observable learning processes rather than just providing answers.
- Train your own AI from scratch
- Research like a scientist
- Ask questions with citations
- Build a permanent knowledge base
- Multi-agent intelligence
- Automatic paper generation
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Cognitive Physics began as a single, hard-edged question: How do mind and matter belong to the same set of laws? That question led to years of work in Cognitive Physics—and eventually to something tangible. Something you can carry. Something you can use every day. This app runs on Systemic Narrative Integration (SNI), a research technology inspired by how the great minds of physics search for structure inside uncertainty. SNI treats learning as a disciplined process. It measures coherence, tracks uncertainty, and when something is incomplete, it refuses cleanly instead of pretending. The goal is not to sound intelligent—it’s to behave honestly. Cognitive Physics turns your device into a truth-seeking instrument, not a chat toy. Inside the app lives a real AI system designed to grow with you. You don’t just use an assistant—you train your own AI from scratch to research alongside you. It learns from the material you import, adapts based on what you approve or reject, and improves through structured feedback. Rather than dumping answers, it behaves like a teacher—guiding you to ask better questions, build valid requests, verify claims, and develop the habits that lead to real understanding. This is a personal research lab where intelligence isn’t a costume—it’s a process you can observe, shape, and refine. A place where mind and matter meet as measurable structure. A place where your AI doesn’t just talk—it learns the way a serious system should: carefully, transparently, and with you in the loop. What You Can Do with Cognitive Physics Train Your Own AI • Build a personal AI from scratch using your own PDFs, notes, links, and research • Learn through approval/rejection—not blind consumption • Structured feedback improves behavior over time • No forced answers, no hallucinated confidence Research Like a Scientist • Live web, RSS, and paper discovery • Duplicate prevention and source tracking • Date, time, year, and origin preserved for every finding • Automatic evaluation using coherence and entropy signals Ask Questions with Citations • Ask questions directly against your own library • Answers are grounded in retrieved sources • Clickable citations open the exact passage used • If evidence is missing, the app tells you—honestly Build a Permanent Knowledge Base • Import and manage PDFs • Automatic text extraction and semantic search • Quality-based organization (high, medium, low, trash) • Everything stored locally and permanently Multi-Agent Intelligence • Specialized agents for planning, coding, reviewing, testing, and optimizing • Agents coordinate tasks and self-correct • Offline learning from success and failure patterns • Designed for serious workflows, not roleplay Automatic Paper Generation • LaTeX papers generated from accumulated research • Offline diagram and figure creation • Reproducible outputs tied to your source library • Built for real academic and technical use Measure Learning, Not Just Output • Coherence and entropy tracked for every interaction • Structural vs semantic uncertainty separated • Refusal is treated as signal, not failure • Stability and dispersion trends visualized over time Offline-First, Instrument-Grade Design • On-device embeddings and local inference • Works without internet once your library exists • No cloud dependency required • Built with safety, performance, and transparency in mind Cognitive Physics is not about replacing your thinking. It’s about giving you a system that teaches you how to think better, alongside an AI that learns the same way you do.
LM Pocket
Run open-source AI models directly on your device without cloud reliance. Discover, download, and chat with thousands of GGUF models privately. Offers a local API server and advanced management tools for power users.
- Run open-source AI models locally
- Discover and download GGUF models
- Private, on-device conversations
- OpenAI-compatible local API server
- Manage model library and performance
- GPU acceleration for fast inference
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Discover, download, and run open-source AI models directly on your device. No cloud. No subscription. No data leaves your device. LM Pocket brings the power of local AI models to your device. Browse thousands of GGUF models on Hugging Face, download them over WiFi, and chat with them entirely on-device. COMPLETELY PRIVATE Every conversation stays on your device. No server, no API key, no account required. Your prompts and responses never leave the device. DISCOVER MODELS Browse Hugging Face Hub for quantized GGUF models. Filter by size, quantization level, and popularity. See compatibility badges that tell you which models will run well on your device before downloading. CHAT WITH AI Stream token-by-token responses with full Markdown rendering. Manage multiple conversations. Adjust temperature, top-p, top-k, context length, and more. Supports ChatML, Llama, Mistral, Phi, Gemma, and other prompt formats automatically. LOCAL API SERVER Run an OpenAI-compatible HTTP server on your device. Expose /v1/chat/completions, /v1/models, and /v1/embeddings endpoints on your local network. Connect any app that supports the OpenAI API format. MANAGE YOUR LIBRARY Track installed models with storage usage. Import GGUF files from the Files app. Load and unload models with one tap. Monitor real-time performance: tokens per second, memory usage, and thermal state. BUILT FOR POWER USERS - GPU acceleration for fast inference - Background downloads with pause and resume - Hardware-aware model recommendations - Chat template auto-detection - Conversation export as JSON or Markdown - JSON mode with grammar-constrained output - Embeddings generation 100% FREE No subscriptions, no in-app purchases, no ads. Open-source AI should be accessible to everyone. SUPPORTED MODELS Run any GGUF-quantized model: Llama, Mistral, Phi, Gemma, CodeLlama, DeepSeek, Qwen, and thousands more from Hugging Face Hub. Model performance depends on device RAM and model size. Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Screenshots
Verdict
The clearest difference is update cadence: LM Pocket at every 3 days against Cognitive Physics's monthly. Cognitive Physics's advantage is iOS requirement (18.2 vs 26.0). On price, rating, ratings volume and ads there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for Cognitive Physics against 5.0 for LM Pocket. Both are backed by a comparable volume of ratings — 2 and 1 respectively.
Cognitive Physics ships an update monthly, LM Pocket every 3 days. The most recent releases landed on October 13, 2026 and October 8, 2026 respectively.
| Parameter | Cognitive Physics | LM Pocket |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (2 ratings) | 5.0 (1 ratings) |
| Number of ratings | 2 — better | 1 |
| Update frequency | Monthly | Every 3 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad — better | iPhone |
| Requires iOS | 18.2 — better | 26.0 |
| Further details — not scored | ||
| Size | 142 MB | 19 MB |
| Age rating | 17+ | 4+ |
| Developer | Joel Pena Munoz | Teo Bouancheau |
Customer experience
Cognitive Physics
LM Pocket
In-app purchases
Cognitive Physics
No in-app purchases
LM Pocket
No in-app purchases









