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Products that do what Axis does

Multi-Agent Orchestration for Unlimited Coding Agents

  1. 1
    Axel271

    Todoist for AI coding agents

    Feb 2026

  2. 22C

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com

  3. 3

    Parallel AI agents for long-horizon, complex software tasks

    Apr 2026 · cosine.sh

  4. 4
    BAND190

    Coordinate and govern multi-agent work in a single chat

    Apr 2026 · band.ai

  5. 5

    Parallel custom agents for complex tasks

    Mar 2026

  6. 6AS
  7. 7
    Anvil175

    Run a fleet of parallel Claude Codes

    Mar 2026

  8. 8AO

    Hello Folks! Agentic Orchestrator is a terminal tool that takes complex feature requests and builds them by orchestrating coding agents through a series of phases that emulate a full-fledged engineering flow: requirements clarification, research, design, multi-phase planning, implementation, and review. It is a single pane of glass for all your features and exposes post-publish utilities such as resolving merge conflicts and responding to review comments. The key design choice is that this is deterministic orchestration on top of undeterministic agents: things like "human review gates",…

    Jun 2026 · github.com

  9. 9
    agor102

    Orchestrate multiple AI coding agents with your team

    Nov 2025

  10. 10
    Cortex70

    Run multiple claude-code agents from YAML config

    Jan 2026

  11. 11

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

    9d ago · twing.dev

  12. 12UA

    Jul 2026 · github.com

  13. 13

    Your coding agent fleet manager

    22d ago · aoagents.dev

  14. 14GA

    It all started with a conversation among friends about limitations in current multi-agent orchestration frameworks. We faced issues like limited control over agent memory and state, complicated persistence, scaling problems, and lack of type safety in Python-based tools. These challenges inspired us to try something different. The result was GraphFlow, a Rust-based lean framework for orchestrating multi-agent workflows that's simple, scalable, and robust. Its key features include: Graph-based orchestration: Easily define workflows using nodes and edges. Lean Execution Engine: A minimal and…

    2025 · github.com

  15. 15

    Pipeline-based orchestration for multi AI coding agents

    Jun 2026 · github.com

  16. 16LL

    Some time ago I built a simple app to run swarms of coding agents — I call it fleet (https://news.ycombinator.com/item?id=48256389). It's based on centralized beads with a Python orchestrator and can run any coder (Claude, agy, Codex). Recently I added a UI to manage the whole agent lifecycle: adding new tasks, monitoring running ones, and a chat interface built on MCP with a centralized SQLite DB. From the UI I can spawn agents to run in any directory, define dependencies on other tasks, and specify which coder/model should do the job. Today I can run 10–15 agents…

    Jun 2026

  17. 17SO
  18. 18
    Swarm4

    Run 1–10 AI coding agents from one browser tab

    Jun 2026 · github.com

  19. 19AO

    I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…

    Mar 2026

  20. 20DO

    Dynamiq is an orchestration framework for agentic AI and LLM applications

    2024 · 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

    High-performance local AI coding agent for developers

    Jun 2026 · uneven.dev

  23. 23

    Autonomous multi-agent orchestration engine for software repos — L0/L1/L2 agents, leases, gates, audits, git-worktree isolation. Detached dispatch by default. GPL-3.0. - alex-reysa/singular-lite

    19d ago · github.com

  24. 24OA

    We were both genuinely impressed by Claude Code after it helped each of us fix nasty CI problems overnight. Doing those fixes manually would have taken days. After that experience, we each found ourselves struggling through Ctrl+Tab through multiple Claude Code windows in our terminals. While we enjoyed having agents working for us in parallel, context switching and cycling through each terminal tab was a real pain. So we thought: Can we design a TUI dashboard that manages a large swarm of agents in one place? Even better, can agents manage agents hierarchically, like how companies work?…

    May 2026 · omar.tech

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