the-open-engine/zeroshot
Independent executor–verifier orchestration for software changes.
27 repositories
Independent executor–verifier orchestration for software changes.
A self-hosted 2D AI workspace for AI Agents
The open-source design agent and harness, better than Claude Design on academic communication artifacts production. This DesignHarness can also be used with any coding harness you like ( Codex/Claude Code/Kimi Code/Pi/OpenCode etc..) and any agentic model you want.
Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).
A self-hosted 3D AI virtual world for Agent Harnesses like OpenClaw and Hermes.
Automated harness evolution for AI agents. A Claude Code plugin that iteratively optimizes system prompts, routing, retrieval, and orchestration code using full-trace counterfactual diagnosis. Based on Meta-Harness (Lee et al., 2026).
The guide for AI meta harnesses
Meta-harness optimization loop wired onto Islo sandboxes. POC: 0/5→5/5 in four proposer steps. Built on islo.dev.
Stop re-explaining your rules to your agent. Put them in the project.
Open-source meta-harness for Claude Code, OpenAI Codex, and Gemini CLI coding agents
Open-source search engine that automatically evolves your AI agent's prompts, tools, and harness logic through iterative evaluation — plug in Claude Code, Codex, Hermes, or any CLI agent.
Persistent, federated meta-harness for AI agents. Continue, delegate, fork and merge work across Claude Code, Codex, Cursor, Kimi, OpenClaw and more.
A reasoning harness for human-AI collaboration. Preserves what's understood, not just what's said. Open-source skill for Claude Projects. Patent pending.
Project page for Meta-harness on Islo (POC). https://zozo123.github.io/meta-harness-on-islo-page/
A modified Meta-Harness where agents propose, test, challenge, and adjudicate coding harnesses for iterative improvement.
Plug-and-play multi-agent orchestration framework. 7 personas, 13 sensors (v1.13.0), 24 invariants, gmh CLI, validated on mandai-v2 (Hermes Agent). 27 releases.
작업 해석·도메인팩·에이전트 바인딩·검증 계약을 정의하는 문서형 메타 하네스 | Documented meta-harness for task interpretation, domain packs, agents, and validation
Spine AI/ML Edition (arch-ml) — доменный метахарнесс AI/ML-исследователя над кодовыми харнессами: спайн-инварианты, fitness-гейты, рубрики, handoff-контракт · Domain agent meta-harness for AI/ML researchers (RU/EN)
Provider-neutral agent orchestration layer (meta-harness) for Claude Code and the Codex CLI: a principal classifies and delegates bounded work to contained workers and independent reviewers. Kernel-enforced read-only reviews, evidence-gated merges, consent-gated fallback, bounded plan review, leave-no-trace cleanup.
A meta-harness playground template for all your AI agents. Switch seamlessly between GitHub Copilot SDK, Claude Agent SDK, Antigravity SDK, Codex SDK, and Cursor SDK. Build your own playground by extending the template with your tools, skills, MCPs, CLIs, and containerized environments for portable, reproducible agent workflows.
AgentOppa is a Maker for AI-agent harnesses
Forge Engineering — Meta-engineering discipline above Harness Engineering. Agents that rewrite their own harness with versioned, benchmark-gated control.
Minimal, trustworthy agent meta-harness, structured-concurrency dispatcher, and audit engine.
Learn a reusable DesignHarness around fixed models to turn one paper into editable posters, slides, webpages, and narrated videos.
A model- and harness-agnostic meta-harness that enforces software-engineering standards as deterministic, fail-closed gates over any AI coding agent.
The ultimate Astro + React launchpad for your next SaaS. Build high-converting landing pages with zero-JS by default, a type-safe Vanilla Extract design system, smooth Framer Motion animations, and built-in ▏ AI-agent skills to bootstrap your business.
Preserve reasoning chains and logical state in Claude Projects to maintain context and build project understanding across AI sessions.