Sandbox
225 repos for code · HarnessesClear

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

508
wintermeyer/
heinzel

A ruleset that turns AI coding assistants (e.g. Claude Code) into disciplined Linux, FreeBSD & macOS sysadmins. Manages servers via SSH and localhost with safety guardrails, checklists, and team support. Named after the Heinzelmännchen — helpful kobolds who do the housework while you sleep.

91
pumblus/
okf-harness

Agent-first local harness for OKF-compatible LLM Wikis.

34
zhnt/
loushang
zhnt/loushangHarnesses

AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.

1.4k
zenx0x/
allinluna

Resource-aware multi-agent orchestration for Codex and DeepSeek Harness (All in Flash DSH plugin)

58
AbyssCN/
oh-my-dag

The orchestration layer under your coding agent. Turns work into a typed graph, runs one model per node, and takes the verdict from outside the model — exit codes, write-set checks, and a cross-family verifier. MCP server, 50 tools, bring your own models.

39
appautomaton/
latex-arxiv-SKILL

A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.

427
ZhixiangLuo/
10xProductivity

Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.

474
holaboss-ai/
holaOS

Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.

11k
postmelee/
hyper-waterfall

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

80
VibeCodingWithPhil/
agentwise

Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification

46
marcusgoll/
Spec-Flow

Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.

92
ChesterRa/
cccc

Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow

1.1k

Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers.

438
arpitnath/
claude-capsule-kit

A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.

90
drvoss/
everything-copilot-cli

The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more

46

Turn tracker tickets into autonomous agent sessions

181
cgallic/
kai-cmo-harness

Open-source AI CMO for Claude Code: marketing agent skills for SEO, content, email, ads, launches, CRO, AEO/GEO, and AI-search visibility.

47
coleam00/
dark-factory-experiment

A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Runs on Archon. The app it maintains is a cited RAG chat over YouTube transcripts, live at chat.dynamous.ai.

151
greyhaven-ai/
autocontext

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

1.3k
zhiyuzi/
Signex

Personal intelligence agent powered by Claude Code. Describe what to watch, it collects, analyzes, and learns — with extensible sensors and lenses.

98