🐬DeepChat - A smart assistant that connects powerful AI to your personal world
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Updated
Sep 1, 2026 - TypeScript
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
An open-source Harness Engineering platform for coding agents—define harnesses as code, run controlled experiments, inspect evidence, and compare outcomes.
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.
This is my harness. There are many like it, but this one is mine.
This is a best practice for managing the DeepSeek Harness project collection. You can directly fork the entire repository, rename the `project-template` folder to your own workspace name, open the workspace, and start having fun with DeepSeek Harness.
A self-improvement loop for coding agents. Mines failure traces, proposes harness edits, validates against a held-out split, and never merges its own work.
Claude Code skill that diagnoses and improves harness configurations based on 8 design principles from Anthropic's harness design article
Drop in any model. Get a harness. Offline-first CLI + TUI that detects model type, runs the right harness, serves HTTP, and scaffolds plugins — for tabular, embeddings, LLMs, vision, diffusion, computer use, and more.
Agent-ready, evolvable full-stack project generator for reliable AI coding and vibe coding. Scaffold governed FastAPI + Vue 3 repositories with Codex skills, architecture rules, validation harnesses, Docker, CI, auth, i18n, PostgreSQL, and Redis Streams.
Smallest readable coding-agent harness that scores on benchmarks. ~970 lines, 59.6% on Terminal-Bench 2.0.
Turn a single sentence into a full-stack web app. OPPE orchestrates AI agents (Planner → Builder → QA) to plan, generate, and verify production-ready code from your idea.
This is the corresponding code for the O'Reilly book: Harness Engineering
🦾 Earth's Mightiest Multi-Agent AI Coding Harness — Tony Stark orchestrates Claude, Gemini, GPT-4, Grok & Ollama as Avengers. Free, open-source, works with your existing subscriptions.
J.A.R.V.I.S official custom harness marketplace - enabling Jarvis to control more desktop software.
Caelestis Architecture Model
GAN-inspired adversarial development loop — Planner directs Generator + Evaluator in fresh cmux panes, gated by hard pass/fail per deliverable. Adapted from Anthropic's harness-design guidance for long-running agentic apps.
Scaffolding for designing human-AI collaboration architecture. Companion to aiharness.design.
Agent Harness 是一个面向企业级 AI Agent 开发治理的本地化框架与模板仓库,提供从需求分析、任务编排、工具权限、MCP 配置、审批流程、轨迹评估、成本记录到回归验证的完整治理骨架。当前项目已完成本地 MVP 与 Hardening 骨架,支持模拟试点验证、质量门禁和变更归档;真实外部试点、MCP 进程启动和远端 CI 可在获得项目与权限后继续接入。
Public-safe agent evaluation write-ups: harness gates, multi-path coding screens, task-family transfer, RAG routes, agent-as-evaluator. Guided Pages tour.
To associate your repository with the harness-design topic, visit your repo's landing page and select "manage topics."