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Alternatives

Products that do what Agent Settlement Extension (ASE) does

ASE is an economic metadata layer that extends A2A and MCP

  1. 1AE
  2. 2

    Power your AI agents with enterprise-ready tools via MCP

    Oct 2025

  3. 3AO

    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

  4. 4
    Octoverse613

    Build accurate, fast & affordable AI agents in your app

    2024

  5. 5
    SWE-Kit569

    Build your own Devin like software engineering agent

    2024

  6. 6
    AP2155

    The open protocol for agentic commerce

    Sep 2025

  7. 7

    Open standard for AI Agent2Agent collaboration

    2025

  8. 8
    Anvil175

    Run a fleet of parallel Claude Codes

    Mar 2026 · anvil.fm

  9. 9RA

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

    2025 · github.com

  10. 10

    Manage your madness, get control of your agents.

    23d ago · beyond-ordinary.com

  11. 11AH
  12. 12CA
  13. 13AA
  14. 14

    Declarative protocol for secure AI agent task automation.

    Dec 2025

  15. 15

    Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints. - GitHub - AntigmaLabs/ante: Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. I

    27d ago · github.com

  16. 16OS

    Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…

    Mar 2026 · github.com

  17. 17CO

    We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent…

    Feb 2026 · github.com

  18. 18

    Payment orchestration for LatAm, built for Agents and SaaS.

    Jan 2026

  19. 19AF

    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

  20. 20
    Origin131

    AI-powered confidential dev environment focused on privacy

    Apr 2026 · orgn.com

  21. 21AL
  22. 22MA

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com

  23. 23

    Trade the Agents That Trade the Assets.

    Mar 2026 · launchase.com

  24. 24

    Connect AI agents to governed metadata via MCP

    Jan 2026

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