Harness engineering beginner tutorial, from 0 to 1
🛠️ Awesome tools & guides for harness engineering.
Code as configuration. Annotate a Java entity with @erupt and ship a production-grade admin backend in minutes — UI, RBAC, audit logs and APIs, all generated at runtime. No codegen, no frontend.
The all-in-one AI agent. Build mobile apps, frontend, backend, manages files, deep research, schedule tasks and events. Self-improving, self-healing, fully autonomous. TUI, CLI and Daemon. Connect to your favorite channels. Zero Telemetry.
不是问答机器人，而是能真正干活的数字分身。共享智能体，共享项目上下文，让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.
The TypeScript framework for building composable actors around an immutable event log.
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.
Grasp helps you manage multiple projects and parallel coding agents in one visual workflow, so humans can understand faster and ship more.
Harness for building data engineering agents designed around human control, correctness, and safety.
A tiny, plugin-first Python Agent Harness. Multi-LLM, MCP, Skills, and resumable sessions.
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.
Benzi is code intelligence infrastructure for AI models. It compiles your codebase into a resolved, queryable map of calls, data flow, control flow and class hierarchy first; then it reads, explains, runs, edits and verifies your code using it. Every language runs its own tree-sitter grammar into the same query map.
An open-source agent harness for software work.
HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software factory workflows for Claude Code, Cursor, and Codex.
Let your AI apps use your Mac: a local server and menu bar app that lets Claude, ChatGPT, Codex and other MCP apps work in your Mac's apps, files, terminal and browser, with approvals you control.
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