Harness engineering beginner tutorial, from 0 to 1
🛠️ Awesome tools & guides for harness engineering.
why write many code when few annotation do trick — annotation-driven Java framework, one class become full admin, now with built-in AI harness too
The all-in-one AI agent living in your terminal. Build landing, mobile apps, backends, manages files, deep research, schedule tasks and events. Self-improving, self-healing, fully autonomous. TUI, CLI and Daemon. Connect to your favorite channels.
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.
Agentic Data Engineering Harness for building data pipelines, data products, data APIs, and data lakes autonomously
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
SuperNova is a Windows-first desktop AI Workbench that turns chat into traceable tasks. It combines a Tauri + React Workbench, Rust Product Runtime, typed protocol, and Process Kernel so actions can produce visible artifacts, runtime receipts, replayable evidence, and controlled workspace execution.
A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.
A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.
Approving is an open-source, self-hostable platform for turning coding agents into visual, reviewable, and recoverable delivery workflows. Agents run in real Docker sandboxes, exchange structured artifacts, and pause for human Approve at critical nodes.
HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software factory workflows for Claude Code, Cursor, and Codex.
Open-source Environment toolkit of claw-like agents, support task/harness generation and evaluation
A minimal, composable AI agent harness framework in Python.
A light-weight and straightforward system for spec-driven development with Claude Code or OpenAI Codex. Written in Rust 🦀
BoringOS is the open-source operating system for AI agents - it ships with a shell portal plus installable modules, powered by agentic CLIs.
An open-source agent harness for software work.
Add a description, image, and links to the harness-framework topic page so that developers can more easily learn about it.
To associate your repository with the harness-framework topic, visit your repo's landing page and select "manage topics."