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Software like hiclaw-harness-worker
What else does this job. Matched on what each project does, not on who links to whom.
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- warrantor-harnesspypi.orgwarrantor-harness is an Apache-2.0 Python package that wraps coding agent harnesses such as Claude Code, Codex, and Cursor with AumOS security capabilities. It is intended for developers building or operating secure AI-assisted coding workflows.
- Harness CLIrexai.topHarness CLI is a local workflow layer for AI coding clients including Codex, Claude, Gemini, OpenCode, Hermes, and Grok. It adds project memory, multi-agent collaboration, model routing, workflow governance, and verification without replacing the underlying coding client.
- ai-harness-clipypi.orgai-harness-cli is an MIT-licensed command-line tool for installing tool-agnostic agents, skills, commands, hooks, and rules across AI development tools. It is intended for developers managing reusable AI tooling configurations across environments such as Claude Code, Codex, and OpenCode.
- oneharness-clipypi.orgoneharness-cli is an open-source command-line tool that enables developers to run multiple agentic coding harnesses non-interactively and receive standardized JSON outputs. It simplifies the orchestration of agent-based coding workflows and is distributed under the MIT license.
- local-agent-harnessgithub.comlocal-agent-harness is an open-source CLI tool for managing the maturity and readiness of local AI coding agents such as Claude Code, Codex CLI, and Copilot CLI. It provides auditing, skill installation, and CI integration for developers working with AI agents.
- team-harnessgithub.comteam-harness is an open-source CLI orchestration harness for coordinating multi-agent LLM workflows. It enables a coordinator LLM to spawn and manage external worker CLIs, supporting model-agnostic and complex agent-based systems.
- everyharnesspypi.orgeveryharness is an offline-first command-line and terminal user interface for running locally available machine-learning models through pluggable harnesses. It is intended for developers and ML practitioners who need a flexible local model runner.
- harness-makergithub.comharness-maker is an open-source CLI tool that builds project-specific AI coding harnesses for code review, profiling, and automation. It integrates with Claude Code and other AI models to streamline development workflows for software engineers.
- harnessieharnessie.comHarnessie is an open-source framework designed for verifiable orchestration of multi-agent AI workflows, emphasizing user control and auditability. It addresses the risks of unsupervised AI by ensuring that every action taken by an AI model is subject to independent verification and explicit user consent before any side effect occurs, such as changing a file or running a command. No sensitive data leaves the models controlled by the user, and every action—whether by AI or human operator—is recorded in a hash-chained audit log, making tampering detectable. The framework structures jobs using three types of agents: an orchestrator that decomposes tasks, workers that execute tasks in isolated environments, and verifiers that independently check results. Each step in a workflow is separated by checkpoints, and the system defaults to failing closed, meaning no action is completed without explicit approval. When a judgment call is required, the process halts for human intervention, ensuring the final decision remains with the operator. Disagreements between agents are recorded rather than averaged, and declined actions are logged without being overridden. Harnessie is brain-agnostic, allowing users to switch between local, private, or remote AI models—including those accessible via OpenAI-compatible endpoints—by editing a single configuration file. The framework supports eight providers and eleven verified models, and its structure remains consistent regardless of the underlying model. Installation requires Python 3.11+ and PyYAML, and can be performed using pip, pipx, uv, or brew. Model adapters rely on the standard library, with no dependency on vendor-specific SDKs. The tool is self-hostable and released under the Apache-2.0 license. It includes a test suite and evaluation scorecard that can be run against a deterministic mock environment without network access, allowing users to validate its operation before integrating any API keys. Harnessie is suited for developers and operators who need strict control, verifiability, and auditability in multi-agent AI workflows, particularly where sensitive data and independent verification are priorities.
- autoharnessgithub.comGlobally-installed agent harness framework that generates AI coding assistant primitives into any target workspace
- harness-babypypi.orgHarness Baby is an MIT-licensed command-line tool that bootstraps and scores repository harnesses for coding agents. It is intended for developers who need to configure and evaluate repository-level tooling using static analysis.
- horus-harnesspypi.orghorus-harness is an open-source CLI tool that provides a project-centric dashboard for managing and coordinating official coding-agent command-line interfaces. It helps developers maintain continuity and control across multiple agent-based workflows.
- aegis-harnessgithub.comaegis-harness is an open-source CLI tool that orchestrates multiple coding agents, including Claude Code, Gemini CLI, and OpenCode, within a unified full-screen terminal UI. It is designed for developers managing multi-agent coding workflows and supports the MCP protocol.
- local-agentic-harnesspypi.orglocal-agentic-harness is an open-source, local-first tool for orchestrating autonomous AI agents. It provides both a command-line interface and a graphical user interface, supports bounded tools, and includes deterministic review gates for automation workflows. Designed for developers who want provider-neutral, locally controlled agentic automation.
- loom-harnesspypi.orgloom-harness is an open-source CLI tool that provides an agent harness for reading, replaying, and rewinding agent actions. It is designed for AI developers working with agentic systems, supporting debugging and analysis, and integrates with Anthropic's Claude.
- Harneloopkaelux.devHarneloop is a Python framework (available on PyPI) for constructing self-evolving AI agent systems. It emphasizes artifact tracking and evaluation to enable agents that improve over time through structured feedback. Designed for developers building advanced autonomous AI agents, it provides the scaffolding and evaluation primitives needed to create, monitor, and iteratively enhance agent behaviors.
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