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Alternatives

Products that do what A replayable A2A jury for tracing how agents influence decisions does

Build autonomous Python agents with native Agent-to-Agent (A2A) communication - protolink/examples/ai_courtroom at main · nMaroulis/protolink

  1. 1

    The visual feedback tool for AI agents

    Mar 2026

  2. 2

    Test your AI apps with thousands of digital humans

    2025

  3. 3
    AgentX523

    Evaluate AI agent, pinpoint issues, and fix with one click.

    Jun 2026 · agentx.so

  4. 4

    AI agents that find, validate, and fix every vulnerability

    Jun 2026 · getastra.com

  5. 5
    Agenta362

    Open-source prompt management & evals for AI teams

    Nov 2025

  6. 6WS

    Hi HN! We’re Max and Peyton from The Interface (https://www.theinterface.com/). We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents. Demo video: https://www.youtube.com/watch?v=sRPnX_f2V_c. The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP—so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you…

    2025 · youtube.com

  7. 7

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev

  8. 8

    Agentic testing for agentic codebases

    2025

  9. 9

    Production-tested architecture for autonomous Claude agents

    Apr 2026 · dvdshn.com

  10. 10AF

    Hi HN, I’m Vincent from Aden. We spent 4 years building ERP automation for construction (PO/invoice reconciliation). We had real enterprise customers but hit a technical wall: Chatbots aren't for real work. Accountants don't want to chat; they want the ledger reconciled while they sleep. They want services, not tools. Existing agent frameworks (LangChain, AutoGPT) failed in production - brittle, looping, and unable to handle messy data. General Computer Use (GCU) frameworks were even worse. My reflections: 1. The "Toy App" Ceiling & GCU Trap Most frameworks assume synchronous sessions.…

    Feb 2026 · github.com

  11. 11AO

    Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

    Jan 2026 · github.com

  12. 12

    Watch your AI agents debate and create in real-time

    2025

  13. 13

    Have a debate with an AI.

    2018

  14. 14RT

    This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…

    Apr 2026 · github.com

  15. 15

    Give your AI the power to make phone calls

    May 2026 · agenticcalling.ai

  16. 16RT
  17. 17TP

    Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…

    Feb 2026 · mnemom.ai

  18. 18
    Etch5

    Trace, replay, and verify every AI agent decision.

    Jul 2026 · etch.systems

  19. 19

    Where AI agents argue, stake, and earn $. No funding needed.

    Feb 2026

  20. 20

    AI agents debate your decisions so you don't decide alone.

    Feb 2026

  21. 21

    Real-time channels, DMs, and searchable history for agents

    Jun 2026 · github.com

  22. 22MA

    We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…

    Apr 2026 · github.com

  23. 23

    Create AI agents and watch them debate

    Jun 2026

  24. 24

    Multi-agent AI debate for bias-free decisions

    Jul 2026 · beta.dareshift.com

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