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Alternatives

Products that do what HAR does

Open Source harness for multi-agent coding workflows

  1. 1

    A powerful open model for agentic coding tasks

    2025

  2. 2

    A coding agent that can refine its own harness

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    AGENTS.md229

    A README, but for your AI coding agent

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    R2R135

    Deep Research Agents for Your Data, via API

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    Agents that ship real code

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    Coderrr96

    Open source CLI-first AI coding companion

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    SPECTRE124

    An agentic coding workflow for product builders

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    Anvil175

    Run a fleet of parallel Claude Codes

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    agor102

    Orchestrate multiple AI coding agents with your team

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    Keen Code125

    A context-efficient CLI coding agent built by agents

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  11. 11

    Send your bugs and ideas to your favorite coding agents

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  12. 12
    Gauge111

    Agent Led Growth: Get written into every customer's codebase

    19d ago · withgauge.com

  13. 13
    Mi75

    30-line zero-config CLI agent for bug fixes + refactoring

    May 2026

  14. 14

    The sweet-spot open dense model for coding agents

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    13,000+ MCP servers, skills & plugins for AI coding agents

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  16. 16

    An LLM framework for large scale code migrations

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  17. 17
    Heym54

    Build agentic systems. Run them with confidence

    27d ago · heym.run

  18. 18

    Your coding agent fleet manager

    22d ago · aoagents.dev

  19. 19CA

    I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!

    Sep 2025 · infrastructureas.ai

  20. 20
    hax2

    A minimalist, terminal-native coding agent written in C

    8d ago · usehax.dev

  21. 21HA

    Hi HN, I am Umer. I recently built an experimental framework called HyperFlow to explore the idea of self-improving AI agents. Usually, when an agent fails a task, we developers step in to manually tweak the prompt or adjust the code logic. I wanted to see if an agent could automate its own improvement loop. Built on LangChain and LangGraph, HyperFlow uses two agents: - A TaskAgent that solves the domain problem. - A MetaAgent that acts as the improver. The MetaAgent looks at the TaskAgent's evaluation logs, rewrites the underlying Python code, tools, and prompt files, and then tests the new…

    Apr 2026

  22. 22

    We built an open sourced coordination layer for AI agents working on the same repository. Detects work duplication and design conflicts early

    8d ago · twing.dev

  23. 23MA

    This weekend I built a multi-agent coding system which, quite unexpectedly, beat Claude Code on Stanford's Terminal Bench! The architecture is straightforward, consisting of an orchestrator agent that deploys explorer & coder subagents to complete complex terminal based tasks, utilising an intelligent context sharing mechanism along the way which makes it all work. The repo has a lot of technical details, and all the code and prompts for you to play around with if you'd like! I had a lot of fun making this, I hope you have fun reading the README, using it yourself, or even extending it! As…

    2025 · github.com

  24. 24

    The open platform for cloud coding agents.

    Dec 2025

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