FEATURED
TUTORIAL7 MIN READ
Local Claude Code on Your Mac. Setup Working Local Agent!
Your local model can write a correct function but still fail to create a file.
SEP 11, 2026•TUTORIAL
Read FeatureBrowse Archive
[ 01 ]TOP STORY
OPEN ARCHIVE
DEEP DIVE9 MIN READ
Perplexity’s Lily Beats MLX-LM on MacBook M5. Because It Only Runs One Model.
If you are building agents that touch private data, you have hit the same wall everyone hits: the frontier model lives in the cloud, the sensitive files live on the laptop, and...
MODEL ANALYSIS3 MIN READ
6.2GB for Qwen3.8-27B. Local LLM Tax Just Dropped Again.
We want to briefly share a very critical update for Local LLM inference.
[ 02 ]LATEST
VIEW ALL
DEEP DIVE7 MIN READ
DeepSeek V4 284B on GAMING PC at 25 TOKEN/S!
Until very recently, you only had two compromises.
AUG 22, 2026
DEEP DIVE11 MIN READ
Better Memory Architecture for Long-Running Agents. It’s NOT RAG.
Agent memory systems start with the same assumption:
AUG 20, 2026
DEEP DIVE11 MIN READ
GPT-Live-Like Multimodal Agent Fully On-Device with Gemma 4
OpenAI’s GPT-Live changed the bar for voice AI in July 2026.
AUG 18, 2026
DEEP DIVE6 MIN READ
Open Source Palantir for AI Agents
Most agent stacks can tell you what happened.
AUG 17, 2026
DEEP DIVE10 MIN READ
DeepSeek Harness Hit 100K Stars in 2 Days. Real Frontier Is Agent Infrastructure.
DeepSeek Harness crossed 112,000 GitHub stars and 10,000 forks.
AUG 16, 2026
MODEL ANALYSIS8 MIN READ
GLM 5.3 Hits Fable 5-Level Coding Through Better Harness
We have spent the last two years talking about model scale, context windows, MoE routing, inference cost, and whether open models can catch closed frontier systems.
AUG 15, 2026
[ 03 ]TRENDING
[ 05 ]LIBRARY
VIEW ALL BOOKS
LIVE BOOK
Ultimate Guide to Local LLMs in 2026
Comprehensive technical reference for deploying, optimizing, and productionizing local LLMs
Open BookIncluded in Agent Foundry
BOOK
Agentic SaaS Playbook in 2026
Production blueprint for architecting, shipping, and operating agentic SaaS
BOOK
Agentic Software Factories
Turn coding agents into a governed production line: intent as versioned specs, an assembly line, quality control, coherence, provenance, and accountability - in current Claude Code and Codex syntax
BOOK
AgentOps: The Playbook For Businesses
Operating model and architecture playbook for enterprise-grade agent systems
[ 06 ]BUILDER KIT
OPERATOR TOOL
Agent Security Checklist
A compact checklist to audit agent infrastructure before exposing anything publicly.
Open ChecklistOPERATOR TOOL
Control Plane Schema Primer
Blueprint for orchestration, approvals, auditability, and rollback-ready operations.
Read PrimerOPERATOR TOOL
Paywall Architecture Map
One-page view of books, offerings, entitlements, sections, and artifact access flow.
View SystemMEMBERSHIP
The Agent Foundry
A live operating library for serious builders: premium books, implementation repos, artifacts, and updates that move with the market instead of expiring on launch day.
All current and future books
Premium chapters and implementation assets
Production starter repos and reference patterns
Private community and ongoing updates
€0 today · then €14.99/mo · cancel anytime
Prefer to own it outright? The Complete Library — all 6 books, €49.99 once.
[ 07 ]ALL ARTICLES
OPEN FLAT ARCHIVELocal Claude Code on Your Mac. Setup Working Local Agent!
Your local model can write a correct function but still fail to create a file.
TUTORIAL7 MIN READ
Perplexity’s Lily Beats MLX-LM on MacBook M5. Because It Only Runs One Model.
If you are building agents that touch private data, you have hit the same wall everyone hits: the frontier model lives in the cloud, the sensitive files live on the laptop, and...
DEEP DIVE9 MIN READ
6.2GB for Qwen3.8-27B. Local LLM Tax Just Dropped Again.
We want to briefly share a very critical update for Local LLM inference.
MODEL ANALYSIS3 MIN READ
DeepSeek V4 284B on GAMING PC at 25 TOKEN/S!
Until very recently, you only had two compromises.
DEEP DIVE7 MIN READ
Better Memory Architecture for Long-Running Agents. It’s NOT RAG.
Agent memory systems start with the same assumption:
DEEP DIVE11 MIN READ
GPT-Live-Like Multimodal Agent Fully On-Device with Gemma 4
OpenAI’s GPT-Live changed the bar for voice AI in July 2026.
DEEP DIVE11 MIN READ
Open Source Palantir for AI Agents
Most agent stacks can tell you what happened.
DEEP DIVE6 MIN READ
DeepSeek Harness Hit 100K Stars in 2 Days. Real Frontier Is Agent Infrastructure.
DeepSeek Harness crossed 112,000 GitHub stars and 10,000 forks.
DEEP DIVE10 MIN READ
GLM 5.3 Hits Fable 5-Level Coding Through Better Harness
We have spent the last two years talking about model scale, context windows, MoE routing, inference cost, and whether open models can catch closed frontier systems.
MODEL ANALYSIS8 MIN READ
Qwen-MM-Plugins Turns Agent Harnesses Into Multimodal Agents
We have spent two years making models multimodal.
MODEL ANALYSIS9 MIN READ
Kimi K3 Running On 8GB of CPU RAM Removes Memory As Hard Gate
Kimi K3’s checkpoint is roughly 1.56 TB on disk: 93 layers, 896 routed experts per MoE layer, about 104B activated parameters per token, and a native context window near 1M tokens.
DEEP DIVE10 MIN READ
Cursor’s Mixture-of-Kittens Made Training 41% Faster
Most teams optimizing Mixture-of-Experts training still think in components but Cursor took a different route.
DEEP DIVE12 MIN READ
Kimi K3 Changed the Memory Math for Agentic AI Forever
Kimi K3’s hybrid linear attention can survive frontier-scale training and deliver strong long-horizon behavior while materially reducing the cache growth that makes persistent a...
DEEP DIVE8 MIN READ
Your Agent Will Fail Again, Unless You Turn That Failure Into Eval
In this article, we will take an evaluation model designed for prompt -> response systems and stretch it over software that reasons, calls tools, mutates state, writes memory, r...
DEEP DIVE14 MIN READ
Qwen3.8–27B Will Run in 17GB VRAM!
Qwen3.8–27B will run locally on systems with roughly 17GB of VRAM.
MODEL ANALYSIS12 MIN READ
Your Agentic Stack Waste Too Many GPU Kernels
Once an agentic product moves beyond a hosted API demo, you hit a bottleneck that dominates your agentic loop: the local neural components around the agent are often doing too m...
TUTORIAL13 MIN READ
744B MoE on 25 GB of CPU RAM!!!
744-billion-parameter model should not run on a 25 GB consumer machine.
DEEP DIVE12 MIN READ
Running ALL as One System: Claude Code, Codex, Copilot, Grok, and Pi
Your agent stack is becoming a process-management problem.
MODEL ANALYSIS7 MIN READ
Durable State Swarms Cut Token Costs by 46%, And Make Long-Horizon Agents Work
A lot of multi-agent setups still look like this:
DEEP DIVE6 MIN READ
Fable 5 Is COMPLETELY Wasted on Most Developer Workflows
Most developers are using Fable 5 completely wrong.
TUTORIAL9 MIN READ
I’m Done Watching Agents Pretend to Understand Repos, Here’s the Fix
Understanding a codebase for agents is a search problem pretending to be reasoning.
TUTORIAL7 MIN READ
Reasoning Agents Still Fail High-Risk Tasks
Making a model better at reasoning can make it worse at one of the most important production behaviors for agents: knowing when not to call a tool.
DEEP DIVE14 MIN READ
The Real Reason LLM Inference is Slow
Almost every performance problem in deep learning is a memory problem because GPU can do math far faster than it can fetch the numbers to do math on.
DEEP DIVE7 MIN READ
Stop Asking What Model to Run. You Only Have 2 Options
When developers say “model X is dumb,” they often mean:
DEEP DIVE9 MIN READ
GPU Programming, Part 1: Architecture, SIMT, Tensor Cores, Occupancy, and Precision
The mental models behind modern GPUs — why they are throughput machines, how SIMT and warps execute, what lives inside a streaming multiprocessor, and how occupancy and numeric precision decide performance
GPU PROGRAMMING15 MIN READ
Loop Engineering Is Not What Everybody Thinks It Is
An agent loop is a feedback controller, and the sensor, not the orchestration, decides whether it's cheap or ruinous
AGENTS15 MIN READ
M5 Max 128GB or RTX 4090 or 2x 3090 for Local LLMs?
A developer-first guide to which consumer hardware can run parts of the agent loop locally with good performance in 2026
HARDWARE10 MIN READ
95% Fewer Tokens with Claude Code and Codex: A Field Guide to Context Compression
How context compressors actually work, where they save tokens, and where they silently break your agent's answers
DEEP DIVE19 MIN READ
10 AutoResearch Agents You Should Absolutely Know About
Ten AutoResearch-style agents and frameworks that improve systems against measurable goals using a propose, evaluate, keep-or-revert loop
AGENTS8 MIN READ
ReasoningBank: The Memory Architecture Behind Self-Evolving Agents
How Google Research's ReasoningBank turns successful and failed agent trajectories into reusable reasoning strategies, and what to steal for your own agent stack
MEMORY12 MIN READ
Outperforming Claude Code and Codex for Local LLM Workflows with Late
How Late, a deterministic Go-based coding-agent orchestrator, makes small local LLMs viable for serious agentic software development
DEEP DIVE10 MIN READ
Why 48GB VRAM Is the Sweet Spot for Local Coding Agents
48GB VRAM is the tier where local agentic AI starts to look like real software infrastructure, with room for quality quants, useful context, and actual tool use
HARDWARE7 MIN READ
M5 MacBook Pro vs NVIDIA DGX Spark vs RTX PRO 6000 for Agentic AI
A workload-first guide to picking local AI hardware for agentic coding, mapping prefill, decode, TTFT, and concurrency to the right machine
HARDWARE11 MIN READ
The 7 Layers of Agentic Products (and Where They Fail)
A layer-by-layer stack for agentic products, from frameworks and model routing to memory, ingestion, tools, durable execution, and observability
AGENTS9 MIN READ
Qwen3.7 Max Lands Near Opus 4.7 and GPT-5.5: A New Daily Driver for Devs
Qwen3.7 Max Preview sits in the frontier tier on Artificial Analysis and Arena, and its agentic profile makes it a serious candidate for production developer workflows
MODEL ANALYSIS5 MIN READ
Cut Claude Token Usage by 5x with OpenWolf
OpenWolf adds a project index, persistent memory, and hook-based file controls so Claude Code stops re-reading the same files and wasting tokens.
DEEP DIVE6 MIN READ
Fine-Tune Gemma 4 Models on Your MacBook
A practical walkthrough for running Gemma 4 multimodal LoRA fine-tuning on Apple Silicon without renting datacenter GPUs.
TUTORIAL4 MIN READ
Playwright Is Not Good Enough for Agents
Agent browser runtimes need deterministic state, semantic actions, and warm sessions, not just human testing abstractions with an LLM taped on top.
DEEP DIVE9 MIN READ
Distributed Agentic Patterns Behind Every Winning Startup
The most useful mental model for serious agentic systems is event-driven distributed architecture with clear async boundaries, retries, and routing semantics.
DEEP DIVE10 MIN READ
KubeClaw: OpenClaw for Adults
KubeClaw frames OpenClaw the right way: not as a prompt loop, but as an operational system with secure defaults, observability, and predictable upgrades.
DEEP DIVE8 MIN READ
TurboQuant: Local Agent Swarms With 4M-Token Context
TurboQuant changes the economics of local agents by collapsing KV-cache costs enough to make multi-agent systems practical on a single workstation.
DEEP DIVE7 MIN READ
Qwen 3.5 35B-A3B: 3B Active Parameters, 100+ tok/s, and Why Your $800 GPU Just Became a Frontier-Class AI Workstation
Qwen 3.5's MoE architecture activates only 3B of 35B parameters per token -- running at 100+ tok/s on a single consumer GPU while outperforming its 235B predecessor.
DEEP DIVE17 MIN READ
zvec: Alibaba Quietly Shipped the SQLite of Vector Databases, and It Changes the RAG Deployment Game
An in-process vector database built on Alibaba's Proxima engine that doubles the previous VectorDBBench leader at 8,000+ QPS.
DEEP DIVE12 MIN READ
GET SHIT DONE: Meta-prompting and Spec-driven Development for Claude Code and Codex
GSD (“Get Shit Done”) aims to solve context rot, the quality degradation as the model’s context window fills.
MODEL ANALYSIS9 MIN READ
OpenClaw Memory Systems That Don't Forget: QMD, Mem0, Cognee, Obsidian
A practical guide to fixing OpenClaw memory failures and choosing the right memory substrate as your agent system scales.
DEEP DIVE4 MIN READ
OpenClaw Variants on $10 Hardware and 10MB RAM
Most product bugs show up when a simple feature lands on a box with a 64MB RAM budget and a watchdog timer.
DEEP DIVE8 MIN READ
Observational Memory for Long-Running Agents “This wasn’t the plan!”
Always-on agents have unbounded context growth problem.
DEEP DIVE9 MIN READ
Fully Autonomous Companies: OpenClaw Gateway + Routing + Agents
Whether you think it’s hype or not, people are already trying to run fully autonomous companies on OpenClaw.
DEEP DIVE7 MIN READ
MiniMax M2.5: Opus 4.6 but 95% Cheaper?
Before any Claude fans boo me: I’m not claiming “M2.5 is Opus” but the pricing + throughput + agent-oriented training forces a new engineering question:
MODEL ANALYSIS8 MIN READ
GLM-5 joins Opus and Codex: Long-horizon Agentic Tasks
One of the most interesting parts of the GLM-5 launch is that you can run an open-weights model inside a proprietary agentic coding workflow and get something close to frontier-...
MODEL ANALYSIS8 MIN READ
Deep Research with 96,000+ Trajectories — Completely Offline
Imagine synthesizing human-like research trajectories exceeding 100 turns entirely offline, no reliance on search or scrape APIs, no rate limits, and crucially, no nondeterminism.
DEEP DIVE7 MIN READ
Original Sin of Agents: Morris II, EchoLeak and Prompt Pond
We risk resurrecting the original sin of computing, a flaw that has enabled remote code execution exploits for decades.
DEEP DIVE11 MIN READ
Developer’s Deep Dive Into Fine-Tuning Modern LLMs
How well fine-tuning performs still depends on three factors: model size, hardware capability, and the framework you choose.
DEEP DIVE19 MIN READ
LangGraph vs Cloudflare Agents: Queues, Scheduling, and Durable Execution
If you’ve built an LLM agent that does anything non-trivial, you’ve hit this moment:
MODEL ANALYSIS12 MIN READ
ClawRouter: Anthropic charged me $4,660 — How I cut it 70% with smart LLM routing
Last month I opened my credit‑card statement and almost threw up. Anthropic charged me $4,660.87, just for Claude.
TUTORIAL10 MIN READ
Codex 5.3 vs. Opus 4.6: One-shot Examples and Comparison
Just after 9:45 a.m. Pacific on 5 February 2026, Anthropic unveiled Claude Opus 4.6, and 20 minutes later, OpenAI counter‑punched with GPT‑5.3‑Codex.
MODEL ANALYSIS8 MIN READ
VIBESTACK: How Everyone Launches Products So Fast in 2026
If you want to research, build, and launch your products fast, this is the solo founder stack for AI-native apps, zero-to-launch weekends, and practically infinite leverage.
TUTORIAL31 MIN READ
Qwen3-Coder-Next Failed in the Scariest Way: 10 Practical Tests
Benchmarks are the LinkedIn of LLMs. Every model looks unstoppable.
MODEL ANALYSIS15 MIN READ
Founder’s Open-Model Stack: GLM-4.7, Qwen3-VL, DeepSeek-V3.2, Kimi-K2, FLUX.2
If you’re building an AI product as a solo founder or a small team, you don’t need one “best” model.
TUTORIAL7 MIN READ
GLM-4.7-Flash on 24GB GPU (llama.ccp, vLLM, SGLang, Transformers)
GLM-4.7-Flash is one of those rare open-weights releases that changes what “local-first” can realistically mean for coding + agentic workflows.
MODEL ANALYSIS7 MIN READ