Give Your Coding Agents a Memory You Own
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
233 stories
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Your apps run live now. Connect the work, let the automations carry it, and open any run to see what happened at every step. Plus six App Kits to clone.
A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.
Lightpanda is a browser for machines, from agents acting on behalf of a user to data extraction at scale and indexing. Best practice looks different according to your use case.
How we designed a higher proxy for keeping a shared mental model of a fast evolving software system
How coding agents inspect external open-source dependencies across the software development lifecycle (SDLC).
AGENTS.md is the open standard for giving AI coding agents project context. Learn what it is, how it differs from CLAUDE.md and .cursorrules, and how to write one with a free generator.
Developers rate their own productivity at a correlation of 0.17 with their measured output. In a trial they reported a 20% speedup while a stopwatch recorded a 19% slowdown. One company raised its pull requests 13.6% and its real output by 1%.
Coding agents should inspect source code directly, use deterministic search for retrieval, and reserve model reasoning for understanding and decisions.
We read the AGENTS.md files of the 100 most-starred repos on GitHub that have one. Here's what they instruct their coding agents, what they ban, and a copy-paste template distilled from all of it
We ran the same model and the same prompt twice to build a Three.js game — one agent with GitHits, one without. Here is how far each got.
Claude is one of the best AI models available. But a conversation that resets every time is not the same as an agent that works for you. Here is what to use when you need more.
Introducing medium, high, and ultrahigh effort tiers to the Query Agent's Search Mode.
LLM agent costs in production 2026: three workload models with token math and USD totals per 1,000 runs, from a 3-call support bot to an 8-step coding loop.
agentOS now has an execution API for running JavaScript (Node.js) and Python instead of using bash.
Why the agent harness shouldn't run inside the sandbox, and how to run it in your own backend instead.
Sandboxes reserve a container per agent while the agent sits idle waiting on inference. That's the same mistake Lambda made, and isolates already solved it.
A lightweight alternative to sandbox VMs for your Flue agents, running on V8 isolates and WebAssembly.
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