github.com — Semble

LLMs running on my laptop can drive coding agents now | Simon P. Couch

Qwen 3.5 and Gemma 4 are a step change for local coding agents.

https://simonpcouch.com/blog/2026-04-16-local-agents-2/ social preview image

clem 🤗 on Twitter / X

We just released an hf CLI extension to detect the best model/quant for a user's hardware and then spins up a local coding agent. Time to go local/private/free/fast for your agents thanks to open-source! pic.twitter.com/LcVJzGCqWx— clem 🤗 (@ClementDelangue) March 17, 2026

https://x.com/clementdelangue/status/2033982183791108278?s=46 social preview image

github.com

earendil-works/pi

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

github.com

truefoundry/trueforge

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

github.com

GitHub - humanlayer/12-factor-agents at sidebar

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - GitHub - humanlayer/12-factor-agents at sidebar

github.com

GitHub - qwen-code-dev-bot/oh-my-cli at 0ec9cf2a972b55ba1c4448c612e794cdcf114451

A minimal autonomous code-agent CLI built with Qwen Code - qwen-code-dev-bot/oh-my-cli

https://github.com/qwen-code-dev-bot/oh-my-cli/tree/0ec9cf2a972b55ba1c4448c612e794cdcf114451 social preview image

domenic.me

My Agentic Coding Setup, July 2026

With the right tools, coding agents can run autonomously, in parallel, and be reachable from anywhere. Here's how I've stitched them together.

github.com

huggingface/hf-discover

Agentic Resource Discovery Client/Server

github.com

pi/packages/agent/docs/harness-v2.md at harness-v2/j4 · earendil-works/pi

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI - earendil-works/pi

https://github.com/earendil-works/pi/blob/harness-v2/j4/packages/agent/docs/harness-v2.md social preview image

www.anthropic.com

New capabilities for building agents on the Anthropic API | Claude

Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.