Topics / #loop-engineering

Loop-engineering projects on GitHub

Patterns for structuring iterative agent and workflow execution loops.

As of , the most-starred Loop-engineering projects on GitHub are lobehub (83.3K stars), QwenPaw (35.8K stars) and learn-harness-engineering (20K stars). GitHub.Locker tracks 10 Loop-engineering repositories with 185.5K stars combined. The fastest-growing on October 16 was learn-harness-engineering, with +115 stars in a day.

10Projects
185.5KStars in total
+254Stars in a day
Browse in the catalog →github.com/topics/loop-engineering ↗

Hot right now

Most stars gained in a day · Oct 16

+115

learn-harness-engineering

walkinglabs/learn-harness-engineering · ★ 20K

A free, project-based course on harness engineering: building the environment, state management, verification and control that make AI coding agents complete real repo work reliably. It has lectures, hands-on projects and a template library, translated into 15 languages.

+42

QwenPaw

agentscope-ai/QwenPaw · ★ 35.8K

QwenPaw is a personal AI assistant that you deploy yourself (locally or in the cloud), which remembers context across sessions, runs tasks/automations, and reaches you through chat apps like Discord, Telegram, and WeChat. It is extensible with Skills, Plugins, and MCP tools.

+38

AntOmniEvo

ant-research/AntOmniEvo · ★ 1.2K

AntOmniEvo is an auto-evolution framework: you give it your system's tunable artifacts (skills, prompts, workflow configs, or code) plus a way to score them, and it runs a concurrent evolution loop where a coding-agent 'Proposer' rewrites those files to produce better-performing candidates.

+24

lobehub

lobehub/lobehub · ★ 83.3K

LobeHub is a self-hosted platform that acts as your 'Chief Agent Operator', letting you hire, schedule, and manage a whole team of AI agents instead of juggling separate chat windows.

The all-time top

10 projects · by stars

  1. #1 · lobehub/lobehub

    lobehub

    LobeHub is a self-hosted platform that acts as your 'Chief Agent Operator', letting you hire, schedule, and manage a whole team of AI agents instead of juggling separate chat windows.

    83.3K
  2. #2 · agentscope-ai/QwenPaw

    QwenPaw

    QwenPaw is a personal AI assistant that you deploy yourself (locally or in the cloud), which remembers context across sessions, runs tasks/automations, and reaches you through chat apps like Discord, Telegram, and WeChat. It is extensible with Skills, Plugins, and MCP tools.

    35.8K
  3. #3 · walkinglabs/learn-harness-engineering

    learn-harness-engineering

    A free, project-based course on harness engineering: building the environment, state management, verification and control that make AI coding agents complete real repo work reliably. It has lectures, hands-on projects and a template library, translated into 15 languages.

    20K
  1. 4

    memU

    14.5KNevaMind-AI/memU · Python

    memU is a lightweight, agent-driven memory system that gives coding agents a shared LLM wiki across sessions, agents, and devices, automatically turning your agent history into reusable skills.

  2. 5

    loop-engineering

    11.6Kcobusgreyling/loop-engineering · TypeScript

    Loop Engineering is a pattern library and set of CLI tools for designing automated loops where AI coding agents discover work, act on it, verify the result, and persist state in the repo, instead of you typing the next prompt yourself.

  3. 6

    loopx

    6.3Kloopx-project/loopx · Python

    LoopX is an open, provider-neutral control plane that sits on top of agent harnesses like Codex, Claude Code and Cursor, keeping objectives, gates, todos, evidence, quota and handoffs durable across turns and sessions for long-running AI agent work.

  4. 7

    ouroboros

    6.2KQ00/ouroboros · Python

    Ouroboros is an 'Agent OS' for AI coding — a local-first runtime layer that turns non-deterministic coding-agent work into a replayable, observable, policy-bound workflow (interview, crystallize, execute, evaluate, evolve) instead of ad-hoc prompting.

  5. 8

    harness-engineering

    6.1Kdeusyu/harness-engineering · JavaScript

    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. 9

    AntOmniEvo

    1.2Kant-research/AntOmniEvo · Python

    AntOmniEvo is an auto-evolution framework: you give it your system's tunable artifacts (skills, prompts, workflow configs, or code) plus a way to score them, and it runs a concurrent evolution loop where a coding-agent 'Proposer' rewrites those files to produce better-performing candidates.

  7. 10

    Awesome-Graph-Engineering

    382DEEP-JLU/Awesome-Graph-Engineering

    A curated collection of research papers, benchmarks, and open-source projects accompanying a survey on Graph Engineering for LLM agents, covering the progression from Model Intelligence to Individual Intelligence to System Intelligence.

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