rotecodefraktion.bsky.social

rotecodefraktion.bsky.social

@rotecodefraktion.bsky.social

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wen👩🏻‍💻
@ds-wen.bsky.social

Which LLM should run your agentic analytics? Accuracy vs. cost of Claude, Gemini and GPT We tested 4 models on real e-commerce analytics questions. No single model wins on both quality and cost, so the answer is to route by question type trangntr.substack.com/p/which-llm-...

trangntr.substack.comWhich LLM should run your agentic analytics? Accuracy vs. cost of Claude, Gemini and GPTWe tested 4 models on real e-commerce analytics questions. No single model wins on both quality and cost, so the answer is to route by question type.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Generating text like an image: a rough sketch first, then sharper level by level. Next-Concept Modeling solves 86% of hard Sudokus this way; an equally small left-to-right model solves 1%. Technique, numbers and limits: www.rotecodefraktion.de/en/blog/next... #AI #LLM

rotecodefraktion.deNext-Concept Modeling: From Sketch to Clear TextNCM does not write text word by word but as a stack of ever finer codes, one whole level per pass. The technique behind it, the authors' numbers, where the limits of this development lie today, and a ...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

colibri tested, a 744B model on a Mac with 64 GB. It answers correctly, at 0.09 tokens per second. For the smaller models, an SSD seven to eight times faster added only 18 to 25 percent. → www.rotecodefraktion.de/en/blog/coli... #LocalAI #AppleSilicon #LLM

rotecodefraktion.decolibri Tested: A 744B Model on a Mac with 64 GBcolibri runs huge mixture-of-experts models on ordinary hardware by reading the experts from disk. Measured on an M3 Max with 64 GB, from Qwen3.6 up to GLM-5.2 with 744 billion parameters: it runs, bu...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

f451 1.3: Import from BookStack and Export Back. Every imported page arrives as a draft with a review, and a report shows what gets lost in the move. → www.rotecodefraktion.de/en/blog/f451... #f451 #BookStack #OpenSource

rotecodefraktion.def451 1.3: Import from BookStack and Export Backf451 1.3 takes over shelves, books, and pages from BookStack as drafts with a review and writes spaces back to BookStack as a book, from the command line or the browser. It also adds Mermaid diagrams,...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Anthropic's OSS Scanner sends security findings straight to maintainers without human review and without a disclosure deadline. Whether that becomes a public advisory is up to the project. #security #anthropic #ai #ossscanner www.rotecodefraktion.de/en/blog/anth...

rotecodefraktion.deOSS Scanner: Anthropic Scans Open Source for Vulnerabilities, With No Human in BetweenAnthropic offers important open-source projects free security scans by its strongest models. The reports arrive without human review and stay confidential. What that means for maintainers, and for eve...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Margin notes next to the text, as in a well-set book, and still no syntax of its own. #f451 puts ordinary GFM footnotes in the margin, and any other tool shows them at the end of the page. #wiki #opensource www.rotecodefraktion.de/en/blog/f451...

rotecodefraktion.deThe Emperor's New Clothes: f451 TemplatesIn five releases, f451 gets a new look: building-block switches, frame switches, its own stylesheets, margin notes from footnotes, and footnotes in the WYSIWYG editor. The Markdown underneath stays th...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Claude Code mods run inside #Claude Code itself and can intercept any command. My guard mod stops force pushes and rm -rf, but lets git push origin +main through. A brake, not a security boundary. #ai #development www.rotecodefraktion.de/en/blog/clau...

rotecodefraktion.deClaude Code Mods: Extensions Running Inside Claude CodeSince version 2.1.287, Claude Code can be extended with mods, JavaScript functions that intercept tool calls and draw their own interface. I built a guard mod and tested it with and without the mod, i...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#Laya is an open, Apache-2.0 alternative to #Jev that decides between fixed options locally. On my M3 Max: 167/200 banking queries right (Jev: 187), 35 ms per decision, no API. Weak spots: option order and German. www.rotecodefraktion.de/en/blog/laya...

rotecodefraktion.deLaya Put to the Test: The Open Jev Alternative on Your Own MacLike Jev, Laya decides between fixed answer options, but it runs locally under Apache 2.0. I measured it on the same 200 banking queries as Jev, in English, in German, and with shuffled option order.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

f451 is out: a self-hosted #wiki for traceable docs. Pages are versioned Markdown in Git, every change is reviewed before it goes live, no vendor lock-in. AI agents contribute via #MCP. Live demo included. www.rotecodefraktion.de/en/blog/f451...

rotecodefraktion.def451: Documents Without Handcuffsf451 combines the comfort of a wiki with Git as the single source of truth. Every page is a Markdown file on Forgejo or GitHub, every change goes through draft and review, and permissions come from th...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Jev decides 53 of 100 tickets on its own, in under a second. The language model only gets the rest. Response time −39%, with a new prompt pager false alarms 48 → 16. New in the n8n series: www.rotecodefraktion.de/en/blog/n8n-... #Jev #n8n #ai #llm

rotecodefraktion.deJev as a Pre-Filter in the Ticket Workflow: Fewer Model Calls, Fewer False AlarmsJev pre-classifies tickets in the n8n workflow, and the local language model only decides when Jev is unsure. Getting there took labels of my own, a corrected priority matrix and a new prompt. Plus a ...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Picking a label without paying for a text model: on 100 Banking77 queries, Jev from TypeSafe matched Claude Haiku 4.5, almost three times as fast, at a twelfth of the cost. Where confident, it was right 98% of the time. www.rotecodefraktion.de/en/blog/jev-... #LLM #AI #JEV

rotecodefraktion.deJev Put to the Test: A Model That Decides Instead of WritingJev from TypeSafe returns typed decisions with probabilities instead of text. I measured it on 200 real banking queries, 100 of them in direct comparison with four Claude models from Haiku 4.5 to Fabl...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Opus 5.5 needs less prompt and more configuration. Set effort explicitly, delete thinking instructions, keep long agent runs going with a checklist. With hands-on tests in Claude Code. www.rotecodefraktion.de/en/blog/opus... #ClaudeOpus #ai #opus

rotecodefraktion.dePrompting Claude Opus 5.5: Effort, Checklists, and Design DefaultsOpus 5.5 always thinks, starts at effort medium, and has new quirks with long tasks, design, and safety filters. Anthropic's prompting guide, checked against the documentation and supplemented with my...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Getting started with Claude Code www.rotecodefraktion.de/en/blog/erst... Step by step: from an empty folder to a tested Python script in one hour, with a plan, tests, and CLAUDE.md. Easy to follow, with all the real output. #ClaudeCode #agenticcoding #ai

rotecodefraktion.deThe First Hour with Claude Code: From an Empty Folder to a Tested ScriptAn introduction to agentic coding for beginners. We walk through the first hour with Claude Code on a small Python project, from the plan and the tests to CLAUDE.md, with real output, real costs, and ...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#Opus 5.5 delivers its first token after 5.5 instead of 14.2 s, at 47% lower cost on its default level, both models 30 out of 30. Most of the savings come from the model, not the price. At the same level, it thinks 48% less. #anthropic #claude www.rotecodefraktion.de/en/blog/clau...

rotecodefraktion.deClaude Opus 5.5 in the Test Lab: Half the Cost, Because It Thinks LessAnthropic promises that Opus 5.5 costs about 40 percent less than Opus 5. I ran both models at their default settings on ten verifiable tasks and measured tokens, time, and cost per solved task.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#Ornith 1.0, a coding model that learns its own agent scaffold. Tested locally on the M3 Max, GGUF against #MLX, with a surprising stumbling block in the packaging. → www.rotecodefraktion.de/en/blog/orni...

rotecodefraktion.deOrnith 1.0: When the Model Writes Its Own ScaffoldDeepReinforce trains a coding model that learns its own agent harness. I tested the 9B and 35B locally on an M3 Max. The idea is strong, the benchmarks are self-reported, and the biggest stumbling blo...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

A bigger context window isn't a memory. New piece on LLM memory for AI agents: CoALA's four functions, the real cost of RAG→GraphRAG, and memory poisoning (the failure mode nobody names). Plus what n8n does natively. www.rotecodefraktion.de/en/blog/n8n-... #n8n #LLM

rotecodefraktion.deWhat an Agent Remembers: LLM Memory between Context Window and Knowledge GraphAgent memory is an architecture problem, not a toggle. An ordered overview: the cognitive memory functions, why the context window is not memory, RAG through GraphRAG with their real costs, and where ...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Why I don‘t trust #ChatGPT & #Microslop for AI Agents? Quite simple, they are forcing their customers into loops like „Do you want this and that? Give me a go…“ and at the end of the day, one spends tokens for bullshitting. And this is not a problem of the LLM; it’s broken by design. SGFY #AI

rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Local Python showdown on an M3 Max ( #MLX, real execution): #Gemma 4 12B vs a community coder vs Qwen3-Coder-30B. On standard tasks all tie; #Qwen wins on speed (~92 tok/s — MoE, ~3B active). The arithmetic parser beat all three www.rotecodefraktion.de/en/blog/gemm...

rotecodefraktion.deLocal Python on the Mac: Gemma 4, Its Coding Finetune, and a Current SpecialistGemma 4 12B is celebrated as the most complete local model. For Python I ran three variants against each other on an M3 Max, with real code execution, including a parser that defeats all three.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Finale of the n8n series: n8n authenticates to SAP BTP via client-credentials flow against xsuaa, then calls a CAP service, CDS, OData, xsuaa-secured, like a real S/4 target. And one service-key field must never hit the repo. www.rotecodefraktion.de/en/blog/n8n-... #n8n #SAP #BTP #OAuth #AI

rotecodefraktion.den8n Authenticates Against SAP BTP — OAuth Against a CAP ServiceThe series finale: n8n binds to its own service on SAP BTP with a real OAuth flow. Client Credentials against the xsuaa token endpoint, a CAP service as a SAP-native stand-in, the n8n OAuth2 credentia...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#QuEra 's counter-bet to Microsoft's Majorana chip: 256+ logical qubits by 2028 on AWS Braket, w/o exotic physics, just ordinary atoms & error correction. qLDPC: ~2 physical qubits per logical one, not thousands. #QuantumComputing www.rotecodefraktion.de/en/blog/quera-libra-quantencomputer-2028/

rotecodefraktion.deQuEra Libra: The Counter-Bet to Microsoft's Quantum ChipQuEra wants to ship a fault-tolerant quantum computer with more than 256 logical qubits in 2028. The lever is not exotic physics but error correction with unusually little overhead. An assessment with...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Microsoft's quantum chip computes with a particle that might not exist. #Majorana 2's long parity lifetime proves neither a working qubit nor that Majoranas are real — a trivial Andreev state fits too. Microslop again? #science #quantumchip www.rotecodefraktion.de/en/blog/majo...

rotecodefraktion.deMajorana 2: Microsoft's Quantum Bet on an Unproven ParticleMicrosoft celebrates Majorana 2 as a 1,000 times more stable quantum chip. Its foundation is Majorana quasiparticles, whose existence physics has not settled to this day. An assessment with technical ...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Has anyone applied to @anthropic.com on behalf of Europe yet? No? Then I did. Freedom, rule of law, top talent that won't get deported tomorrow — and militaries that respect your model's red lines. www.linkedin.com/pulse/applic... #claude #fable5 #mythos5

linkedin.comApplication for EuropeFrom: Europe (represented by Germany, Department of "We've Got an Idea, Actually" and on the ground by me David Krcek ) To: Anthropic, San Francisco Re: Unsolicited application for the role of locatio...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Article 11 of the series "Getting Started with n8n": n8n in Queue Mode — Main, Worker, Redis and Python. Main accepts and enqueues, workers execute. When it is worth it, how workers scale, and why queue mode is not retry. www.rotecodefraktion.de/en/blog/n8n-... #n8n #QueueMode #Redis #Python

rotecodefraktion.den8n in Queue Mode — Main, Worker and RedisOperation goes production-ready. This article moves the single-process instance to queue mode: main accepts webhooks and enqueues executions in Redis, workers run them. With worker scaling, queue metr...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

The same CSS function, two colors — depending on dark mode. Sass resolves at build time, native @function at render time. That's the new part, not the catch-up. #CSS #ModernCSS #Frontend #WebDev #WebDevelopment With live demos: www.rotecodefraktion.de/en/blog/css-...

rotecodefraktion.deCSS Gets Real Functions: The @function RuleWith @function you define your own CSS functions. The real novelty is not that CSS rebuilds Sass, but that a CSS function decides in the browser instead of at build time.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Addendum 06/14/26: This is turning into a business thriller with the Trump regime implicated. AWS — Anthropic's biggest investor AND infrastructure provider — flagged the models to David Sacks, ex-AI czar and #Anthropic critic. www.rotecodefraktion.de/en/blog/us-r...

rotecodefraktion.deThree Days at the Frontier: The Trump Regime Pulls Fable 5 and Mythos 5Three days after launch, an export-control directive forces Anthropic to disable Fable 5 and Mythos 5 for all customers. What happened, why, and what it means.

rotecodefraktion.bsky.social reposted

FloxoLab
@floxolab.com

Cheapest reliability upgrade for any n8n setup: a two node error workflow that pings you the second something breaks. Telegram, Slack, email, whatever. Built it faster than I wrote this. Setup: floxolab.com/blog/n8n-err...

floxolab.comProtect n8n Workflows with Chat Error Alerts | FloxoLabA simple 2-node n8n Error Workflow can alert you in Telegram, Slack, Google Chat, email, or another channel when business automations fail silently.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Container machine, Apple's quiet attack on #Docker Desktop. A dedicated micro-VM per container instead of Docker's shared VM. The architecture, the memory behavior under load, and why Apple is really going after Docker Desktop. #AppleSilicon #macOS #WWDC26 www.rotecodefraktion.de/en/blog/appl...

rotecodefraktion.deContainer machine: Apple's Quiet Shot at Docker DesktopWith the Containerization architecture and the new Container machine, Apple has spent two years building a native Docker alternative for the Mac. A technical analysis of who is really under attack.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

ChatGPT sounds thoughtful. Claude sounds empathetic. And yet there's no one home. Why confusing a language model with consciousness isn't a misunderstanding but a category mistake with consequences. www.rotecodefraktion.de/en/blog/llm-... #AI #LLM #Consciousness #AIEthics

rotecodefraktion.deNo Ghost in the Machine: On mistaking language models for mindsChatGPT sounds thoughtful. Claude sounds empathetic. And yet nobody is home. A mechanistic, philosophical and societal look at the difference between language models and consciousness.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

One call, and the model's gone. Three days after launch, the #Trump regime forced #Anthropic to kill #Fable 5 and #Mythos 5 — an export-control directive aimed at "foreign nationals." No court, no reason, no evidence. www.rotecodefraktion.de/en/blog/us-r...

rotecodefraktion.deThree Days at the Frontier: The Trump Regime Pulls Fable 5 and Mythos 5Three days after launch, an export-control directive forces Anthropic to disable Fable 5 and Mythos 5 for all customers. What happened, why, and what it means.
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#n8n meets #SAP: Article 10 builds the bridge over OData and HTTP. A support pipeline enriches its tickets with master data from an SAP backend. The catch: SAP behaves differently from modern APIs — and when it fails, the key info hides where most give up. www.rotecodefraktion.de/en/blog/n8n-... #ai

rotecodefraktion.den8n Meets SAP — the Bridge over OData and HTTPThe pipeline now enriches its tickets with master data from a SAP backend. This article shows the OData binding over HTTP, SAP's own error format, graceful degradation on an unknown customer, and wher...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Local AI isn't automatically sovereign AI. apfel's coding agent runs on your Mac, no key. But the model is borrowed, on ground Apple can shift anytime. The agent isn't: built on the OpenAI protocol, the backend swaps out. www.rotecodefraktion.de/en/blog/apfe... #LocalAI #swift #ai

rotecodefraktion.deSovereignty on borrowed groundThe local agent runs without a key and without the cloud. But what does that independence rest on? Two releases from the same week, a cloud handoff from Anthropic and Apple's MLX stack, bring the ques...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Tools the agent doesn't write: MCP — Article 10 of the series "A Local Coding Agent with apfel". #apfel is the MCP client itself. What the agent builds instead: a small server of its own. #MCP #AppleSilicon #LocalLLM #Swift #AgenticCoding #AI www.rotecodefraktion.de/en/blog/apfe...

rotecodefraktion.deTools the agent doesn't write: MCPMCP moves writing tools out of the agent into separate servers. We build a small MCP server, attach it to apfel, and measure what MCP solves and what it doesn't. Article 10 of the series "A Local Codi...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Two Models, One Entry Point, Round-Robin and Failover redundancy over Local AI Backends. Article 9 of the series "Getting Started with n8n". → www.rotecodefraktion.de/en/blog/n8n-... #n8n #AI #Failover #SAP #MLX #LLM

rotecodefraktion.deTwo Models, One Entry Point — Round-Robin and Failover over Local AI BackendsA single AI backend degrades to the rule-based emergency exit on failure. This article builds real redundancy from two local models: round-robin in normal operation, automatic failover on a single out...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

The interactive terminal session, Article 9 of "A Local Coding Agent with apfel" From a one-shot command to a REPL. How a strict split of render logic and I/O makes a terminal interface testable, with no terminal at all www.rotecodefraktion.de/en/blog/apfe... #LocalAI #CodingAgent #Swift #apfel #llm

rotecodefraktion.deThe interactive terminal sessionThe one-shot command becomes an interactive REPL session. The key to testability is the strict separation of render logic and terminal I/O. Article 9 of the series "A Local Coding Agent with apfel".
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#Anthropic makes the #Mythos class public, as Claude #Fable 5. A critical look at the benchmark records, the safeguard fallback to Opus 4.8, the June 23 pricing maneuver look like drug dealing, and the 30-day data retention. #ai #llm → www.rotecodefraktion.de/en/blog/clau...

rotecodefraktion.deClaude Fable 5: Anthropic's Mythos Class Goes Public, With CaveatsTwo months after warning that Mythos was too dangerous to release, Anthropic makes the Mythos class public. A look at Claude Fable 5 and Mythos 5 between benchmark records, pricing tactics, and 30-day...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

#WWDC26 Platforms State of the Union at a glance. Foundation Models opens up to server models and goes open source, #CoreAI brings your own models on-device, and #Xcode 27 turns the coding agent into an actor that plans, builds, and tests. #ai #agenticcoding www.rotecodefraktion.de/en/blog/wwdc...

rotecodefraktion.deWWDC26 for Developers: Foundation Models, Core AI, and an Agentic XcodeAn overview of the WWDC26 Platforms State of the Union: the Foundation Models framework opens up to server models and goes open source, the new Core AI brings your own models on-device, and Xcode 27 p...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Four Macs as a cluster, distributed inference and training with #MLX. How #RDMA over Thunderbolt, JACCL, and MLX run a trillion-parameter model locally across four M3 Ultras, and why that hardware is nearly impossible to get in 2026. → www.rotecodefraktion.de/en/blog/mlx-... #Apple #LocalAI #WWDC

rotecodefraktion.deFour Macs as a Cluster: Distributed Inference and Training with MLXAt WWDC26, Apple shows how MLX distributes large language models across multiple Macs. RDMA over Thunderbolt 5, the JACCL library, and a cluster of four M3 Ultras running a trillion-parameter model lo...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

One Entry Point, Two Classifiers, merging the AI Pipeline into the Live Path. Article 8 of the series "Getting Started with n8n". #n8n #AI #Ollama #llm www.rotecodefraktion.de/en/blog/n8n-...

rotecodefraktion.deOne Entry Point, Two Classifiers — Merging the AI Pipeline into the Live PathUntil now two separate paths ran side by side: the rule-based ingest and the AI classification. This article merges them into one pipeline, makes classification a swappable stage, and positions the ru...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Editing that works Article 7 of the series “A Local Coding Agent with apfel”. Why free tool calling fails at editing, and how constrained output takes the small model from 0/9 to reliable edits. → www.rotecodefraktion.de/en/blog/apfe... #LocalAI #CodingAgent #Swift #apfel

rotecodefraktion.deEditing that works: constrained output instead of tool guessingThe naive file edit fails on the small model. We build the agent around that weakness, with constrained output and a two-stage edit workflow, and measure how much can be recovered. Article 7 of the se...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

The local coding agent put to the eval — Article 6 of "A Local Coding Agent with apfel". 15 tasks, checked deterministically, no self-verdict from the model. Where it holds, where it breaks, and what it claims about itself. www.rotecodefraktion.de/en/blog/apfe... #LocalAI #Coding #swift #apfel #llm

rotecodefraktion.deThe local coding agent put to the evalA reproducible eval of 15 tasks across five categories measures where the local Foundation Model carries as a coding agent and where it breaks. With a cloud sample and a separate measurement of what t...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Error Handling and #Observability in #n8n — Article 7 of the series "Getting Started with n8n". Why a #workflow that silently files everything as "other" on a model outage is the most dangerous failure mode of all — and how to make it visible. www.rotecodefraktion.de/en/blog/n8n-... #ai #SAP

rotecodefraktion.deWhen the Workflow Learns to Fail — Error Handling and Observability in n8nThe AI classifier runs, but what happens when the model goes down? A global error workflow with a Telegram alert, an observability stack of Prometheus, Loki and Grafana, and a silent fallback that wan...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

The first real tools — file system and shell. Article 5 of the series "A Local Coding Agent with apfel". How an agent in #Swift reads, writes and runs shell commands with a path sandbox, a confirmation gate and a diff before every write. www.rotecodefraktion.de/en/blog/apfe... #AI #apfel #Sandbox

rotecodefraktion.deThe first real tools: file system and shellWe build the first tools the agent uses to change things, and lock them down — a path sandbox, a confirmation gate, a diff before writing, and defense-in-depth for the shell. Article 5 of the series "...
rotecodefraktion.bsky.social
@rotecodefraktion.bsky.social

Graphify and #MemPalace — two open-source answers to Claude Code's memory problem that only look the same at first glance. www.rotecodefraktion.de/en/blog/grap... #ClaudeCode #Graphify #MemPalace #AI #AgenticCoding

rotecodefraktion.deGraphify and MemPalace: Two Answers to Claude Code's Memory ProblemWithin a few weeks, two open-source tools have set out to solve Claude Code's memory problem. But they don't solve the same problem — Graphify builds a code graph, MemPalace stores the conversation.