Topics / #agentic-engineering

Agentic-engineering projects on GitHub

Best practices and tooling for building software with AI coding agents.

As of , the most-starred Agentic-engineering projects on GitHub are claude-code-best-practice (67.7K stars), openchamber (11.8K stars) and harness-engineering (6.1K stars). GitHub.Locker tracks 5 Agentic-engineering repositories with 86.3K stars combined. The fastest-growing on October 18 was openchamber, with +69 stars in a day.

5Projects
86.3KStars in total
+155Stars in a day

Hot right now

Most stars gained in a day · Oct 18

The all-time top

5 projects · by stars

  1. #1 · shanraisshan/claude-code-best-practice

    claude-code-best-practice

    A curated reference and knowledge base documenting Claude Code's features and best practices, covering agents, commands, skills, workflows, hooks, MCP servers, and more, organized as linked tables rather than a single tutorial.

    67.7K
  2. #2 · openchamber/openchamber

    openchamber

    OpenChamber is an open-source workspace for running and reviewing AI coding agent work: you start agent tasks, see what changed, and take results through review and release from desktop, web, VS Code, or mobile.

    11.8K
  3. #3 · deusyu/harness-engineering

    harness-engineering

    It's a Chinese-language deep-learning archive about 'Harness Engineering' — the OpenAI-coined engineering paradigm where engineers stop writing code directly and instead design constraints, feedback loops, and environments so AI agents can work reliably. The repo tracks the author's journey from reading the original essay to forming opinions, running experiments, and producing translated research.

    6.1K
  1. 4

    nvx

    410microsoft/nvx · Python

    NVX is an ultra-light micro-VM sandbox for running untrusted workloads with hardware-enforced isolation, built on OpenVMM and running Linux as the guest OS.

  2. 5

    factory

    264addyosmani/factory · Shell

    Factory is a reference operating model that turns an existing GitHub repository into a repeatable software delivery loop driven by Claude Code and Codex. It uses GitHub Issues as a work queue: scheduled agents triage issues, implement small permitted tasks, run tests and gates, get an independent review, and open draft pull requests for a human to merge.

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