nowfound

Alternatives

Products that do what Building JoyMux · Local Agent Runtime does

Local Agent Runtime so agent have a stable environment

  1. 1

    The fastest workflow for developing with AI

    26d ago · agent-manager.dev

  2. 2

    The CLI your coding agent uses to ship agents

    Jul 2026 · github.com

  3. 3

    Spin up secure sandboxes in ~100 ms

    Nov 2025

  4. 4

    Agents that ship real code

    Apr 2026

  5. 5

    Give your AI coding agent eyes on your running frontend

    Mar 2026

  6. 6
    Flare120

    The graph-first IDE and interactive map for agentic coding

    12d ago · github.com

  7. 7

    Agentic frontend layer between Figma and Cursor & Claude

    Jun 2026

  8. 8

    Open-source runtime for durable AI agents

    May 2026

  9. 9

    An integrated team of proactive AI agents on your device

    2025

  10. 10
    Pixcode76

    A self-hosted control room for AI coding agents

    May 2026

  11. 11
    HAR110

    Open Source harness for multi-agent coding workflows

    30d ago · github.com

  12. 12

    Run agent workflows the community already built

    Apr 2026

  13. 13

    Local semantic search for AI agents

    30d ago · tryreference.com

  14. 14

    Open-source memory runtime for production AI agents.

    25d ago · statewave.ai

  15. 15RA

    Hey HN, There’s been a lot of interest recently in meta-harnesses, loops, and multi-agent orchestration. Obviously, there are already a lot of good tools: Conductor, cmux, the native Codex / Claude Code apps, etc. For my own use cases, I’ve felt that the orchestration layer tends to feel overengineered. I mostly wanted a simple local harness (i.e Pi) for running and tracking CLI agents with the ability to hop in (via tmux). Relaymux is my opinionated attempt at that. A few design principles: - The frontend is just Telegram / iMessage / CLI. If I want more visibility, I hop…

    Jun 2026 · github.com

  16. 16
    Brain8

    A small, blazingly fast and extensible agent runtime

    3d ago · github.com

  17. 17RA

    Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…

    Apr 2026 · superhq.ai

  18. 18

    Artifex is a machine-first, headless CLI runtime built for autonomous coding agents to author, validate, and render media node graphs locally. The agent talks to Artifex through a structured CLI interface. Workflows are DAGs, and each node is a plugin that can implement its own execution logic.. Each node has capability to inject logic into graph processing, WebGPU rendering, audio processing and their own SKILL.md file. Nodes can also inject their react components (not available with CLI) - which will be available with the desktop app. Execution is topological and supports checkpoint…

    23d ago · gatewai.studio

  19. 19AR

    Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…

    May 2026 · agents-cli.sh

  20. 20RL

    Hi HN — I’m building an interoperability layer for AI agents that lets local and remote agents run inside the same network and coordinate with each other. Here is a demo: https://youtu.be/2_1U-Jr8wf4 • OpenClaw runs locally on-device • it connects to remote agents through Hybro Hub • both participate in the same workflow execution The goal is to make agent-to-agent coordination work across environments (local machines, cloud agents, MCP servers, etc). Right now most agent systems operate inside isolated runtimes. Hybro is an attempt to make them composable across boundaries.…

    Apr 2026 · github.com

  21. 212O

    Hi HN, We're the engineering team at Peakflo (B2B fintech). We built 20x internally because we kept copy-pasting Linear tickets into Claude, manually setting up branches, and babysitting agent output across terminals. Eventually we just built the infrastructure to connect task systems to agents directly — and decided to open source it. 20x is an open-source desktop app (macOS only — Linux and Windows on the roadmap) that orchestrates AI coding agents against your existing task systems. In practice: a Linear ticket gets pulled in → the triage agent assigns Claude Code + relevant skills → a…

    Feb 2026 · github.com

  22. 22

    Run AI Agents at Scale, Reliable and Fast

    Sep 2025

  23. 23LA

    Lazyagent a simple way to see what your coding agents were actually doing across Claude, Codex, and OpenCode. Once you have more than 1 agent running, its really hard to answer the simple question: what is it doing right now and why? It is a local terminal UI that collects your agents runtime events and shows their activity in one place. You can inspect: - agents and subagents - tool calls - prompts - outputs - status changes Sessions and projects are there to give that activity some context, so it is easier to follow what happened over time and which run belongs to which repo. And make it…

    Apr 2026 · github.com

  24. 24AA

    Hey HN! We've just open-sourced Agent, our framework for running computer-use workflows across multiple apps in isolated macOS/Linux sandboxes. After launching Computer a few weeks ago, we realized many of you wanted to run complex workflows that span multiple applications. Agent builds on Computer to make this possible. It works with local Ollama models (if you're privacy-minded) or cloud providers like OpenAI, Anthropic, and others. Why we built this: We kept hitting the same problems when building multi-app AI agents - they'd break in unpredictable ways, work inconsistently across…

    2025 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →