Multi-agent communication is an active design space. Google shipped A2A as a dedicated agent-to-agent protocol. Anthropic has MCP for connecting agents to tools and data. Every serious agent framework has some kind of inter-agent wire format — JSON-RPC, function calls, structured messages with typed payloads. The assumption behind all of them is that agents need...
Author: Martin Treiber
mcpx: Because MCP Servers Shouldn’t Require a PhD in Protocol Plumbing
The Model Context Protocol has won. Since Anthropic open-sourced it in late 2024, MCP has grown to 97 million monthly SDK downloads, over 10,000 active servers, and first-class support from every major AI platform. Google adopted it. OpenAI adopted it. The Linux Foundation now governs it through the Agentic AI Foundation. If you're building...
The KV Cache – The Hidden Bottleneck Holding Back Local AI
Everyone is talking about running large language models on laptops. Almost nobody is talking about why those models run out of memory halfway through a long conversation. The answer is not the model weights. It is the KV cache — and a paper being presented at ICLR 2026 this week may have just solved it....
The Bootstrapping Has Begun
Every frontier AI lab is now using its own models to build the next version of itself. The bootstrapping of the self improvement loop has begun and is likely to accelerate. In March 2026, three things happened within the same two-week window. Chinese AI lab MiniMax released M2.7, which they described as "our first model...
Your PM Shouldn’t Be a Project Document Processor
Every project manager I know spends the first few days of a new project doing the same thing: reading through a stack of documents and manually re-entering what she finds into whatever tools her organization uses. Cost sheet first — extract the invoice schedule, identify the manpower plan, record the authorized amounts. Then the SOW...
The Jobs AI Will Hit First: What Karpathy’s New Data Tells Us About $3.7 Trillion in Exposed Wages
Andrej Karpathy, the former Tesla AI chief and OpenAI co-founder, just released an open-source tool that scores every major U.S. occupation on its estimated exposure to current AI capabilities. The project pulls 2024 data from the Bureau of Labor Statistics' Occupational Outlook Handbook — covering 342 job types, roughly 143 million workers, and every sector...
reWritable: Software that knows how to change itself
When I built clive, the core insight was deceptively simple: don't give the agent a list of tools. Give it an environment.An API is a call-response primitive. You invoke it, it returns something, the state lives somewhere else. An environment is a thing you inhabit. You enter it, act inside it, leave it different than...
The Cost Sheet Problem Nobody Talks About
A cost sheet is more than a budget document. It is the financial blueprint of an engagement — capturing manpower rates, vendor costs, planned invoices, outgoing payments, and deliverables, all in one place. It's the heart of the project. When it's accurate and up to date, it tells you whether the project is financially healthy....
Clive Can Now Modify Itself
We've been building clive — a CLI Live Environment that gives an LLM a terminal and a keyboard. The core idea is simple: instead of wrapping tools in APIs and schemas, you let the agent read the screen and type. The terminal becomes the interface. The loop becomes the protocol. We've added something that takes...
The Terminal as Agent Interface: Introducing clive
There is a quiet assumption embedded in most agent infrastructure: that agents need structured interfaces. APIs, schemas, tool definitions, protocols like MCP or A2A. The assumption is that the gap between an LLM and a system needs to be bridged by something machine-readable. clive starts from a different assumption. LLMs are excellent at reading text...
