Akshay 🚀 (@akshay_pachaar)

We have been using LLMs like a hammer for every AI problem, even simple decisions. Jev handles those decisions in milliseconds at a fraction of the cost. Let's understand how it works and where it fits....

How UHP and HarnessRouter standardize agent execution across Codex, Claude Code, Hermes, and other runtimes....

self-evolving harnesses are here. (100% open-source) today you pick a fixed harness, and every task runs through it. a deep research question and a file-renaming task get the same memory strategy, the same planner, and the same tools exposed at every step. JIT-Agent is a 27B open-source model tha...

Run agent harnesses fully local, private, and offline: - No token costs - No API keys - 100% open source...

Everything you need to understand why your GPU sits idle under load and which batching strategy fixes it. Three strategies from first principles, the flaw each one leaves behind, chunked prefill, and how to choose for your workload....

Google and Microsoft rarely agree. But now they are building the same thing to fix web access for agents, and it could be the biggest change to the web in years....

There's a new approach that:...

We will cover everything that goes into building a coding harness, the agent loop, planning, subagents, sandboxing, memory, and checkpointing, built step by step....

<b>Everything you need to understand and customize Hermes Agent. Self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 agents that work for you 24/7.</b>...