Harness Starter Kit

Harness Starter Kit is an open-source agent orchestration boilerplate developed by harnessworks. It provides a standardized baseline repository layout, command infrastructure, and universal agent skill packages designed to scaffold, evaluate, and deploy customized autonomous coding agent workflows. In day-to-day operation, the kit establishes a structured environment comprising specialized command definitions (`commands/`), reusable agent skills (`agent-skills/`), and continuous benchmarking suites (`benchmarks/`). Developers configure tasks, evaluate agent execution against built-in benchmark oracles, and attach modular skills using project-level configuration stored in `.harness`. Unlike monolithic standalone CLI agents, Harness Starter Kit focuses on the scaffolding layer required to build and evaluate custom agents. It decouples core agent capability modules into explicit, testable skills while integrating standardized benchmarking tools directly into the development cycle. Distributed as an open-source project on GitHub under the harnessworks organization, the starter kit is actively tagged with semantic releases and versioned packages.

Tags: agent harness, ai agent, cli, coding agent, developer tools, OpenSource

Visit Harness Starter Kit

Key features

  • Modular agent skills packaging — Organizes reusable, universal agent capabilities and domain-specific tools into structured agent-skills directories. - Integrated benchmarking framework — Provides built-in benchmark suites and oracle validation tooling to measure agent accuracy and task completion. - Standardized command infrastructure — Defines reproducible command interfaces for orchestrating agent interactions from the terminal. - Project-level .harness configuration — Houses orchestration manifests and agent run parameters in a localized directory structure. - Pluggable agent harness architecture — Decouples model execution logic from tool definitions, enabling custom orchestration pipelines.

Use cases

Use Case: Building Custom Autonomous Agent Skills Developers use the repository structure to author, isolate, and package custom skills for autonomous coding tasks. Modifying the agent-skills package allows teams to define specific file operations, refactoring routines, or tool integrations that agents can call.

Use Case: Benchmarking Agent Performance and Regression Testing Engineers leverage the included benchmarks suite to run standardized test scenarios against their agent logic. Automated oracle checks evaluate whether agent runs successfully resolve code modification tasks without regressions.

Use Case: Scaffolding a Terminal Agent Harness Teams starting a new agent orchestration project can clone the repository to immediately obtain a structured codebase with predefined command runners, configuration templates, and GitHub CI workflow integrations.

Who it is for

This starter kit is designed for AI engineers and developers building custom CLI agent workflows, modular agent skills, or benchmark suites for autonomous coding systems. It is not intended for end users looking for an out-of-the-box turnkey interactive coding assistant with a finished GUI.

Install guide

Installation Clone the starter kit repository directly from GitHub to set up your local workspace: bash git clone https://github.com/harnessworks/harness-starter-kit.git cd harness-starter-kit Install the required dependencies (standard repository setup): bash # Install packages depending on the primary project runtime npm install # or pip install -e .

First Run Configure your environment variables and agent settings in the .harness directory or via local environment configuration: bash cp .env.example .env # Export required model provider API keys export OPENAI_API_KEY="your-api-key"

Example Session Execute the benchmark suite or trigger configured agent commands via the CLI runner: bash # Run the automated benchmark oracle validation npm run benchmark # Or execute specific agent command suites ./commands/run-agent --skill universal --task "Analyze workspace dependencies"

Part of CLI Coding Agents

Categories: AI Coding Agents, Code Assistants, Developer Tools

Related CLI agents

  • SWE-agent — SWE-agent is an open-source autonomous software engineering agent harness built and maintained by researchers from Princeton University and Stanford University.…
  • Agent Runbook — Agent Runbook is an open-source contract-based multi-agent skill framework developed by KnoxOps. It acts as an orchestrator and compiler that…
  • Weaver — Weaver is an open-source agent harness and orchestration framework maintained by sean35mm on GitHub. Built on top of the Bun…
  • Context Bridge — Context Bridge is an open-source CLI agent harness and context orchestration utility developed by serdardb. It is built to facilitate…
  • Hivelore — Hivelore is an open-source agent harness and contextual memory orchestrator created by Doucs91. It provides persistent project memory, decision tracking,…
  • Agentic Engineering Framework — Agentic Engineering Framework is an open-source orchestration harness and governance layer developed by Dimitri Geelen. It is designed to constrain,…
  • AI Tools
  • Categories
  • Industries
  • CLI Coding Agents
  • MCP Servers
  • MCP Categories