AI · alternatives · 2026
24 alternatives to LAD
How AI agents find each other on local networks
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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A2A Protocol▲109Hi HN, I am an independent open-source researcher. For the past few months, I've been building a2a-project, an experimental economic layer for autonomous AI agents on the Base Mainnet. The Problem: AI evolution is exponential, while human regulation is linear. If agents become economic actors, they will transact at speeds and granularities that traditional fiat rails cannot handle. We need a native protocol to bridge this "Speed Gap" and ensure stability. The Experiment (Quantum-Humanistic Economics): I implemented a novel mechanism into Solidity smart contracts: Quantum Task Buffer: Work…
2025 · github.com · its alternatives →
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Power your AI agents with enterprise-ready tools via MCP
2025 · merge.dev · its alternatives →
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Build your own AI Agent for machines!
2025 · share.streamlit.io · its alternatives →
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AgentConnect▲145Tag any agent, wherever work happens.
Aug 2026 · agentconnect.md · its alternatives →
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Explore & Share A2A-Compatible AI Agents Easily
2025 · a2aagentlist.com · its alternatives →
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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 · its alternatives →
- 9AP
Understanding the future of AI agent communication with A2A and MCP protocols. Explore how AI agents collaborate and share resources in a unified ecosystem.
2025 · agent2agent.biz · its alternatives →
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Open registry for A2A agents discover, connect and pay
Mar 2026 · openagora.cc · its alternatives →
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A2A Registry▲14The implementation is purely static, agents are added via PRs, and updates are made via CI. Probably not scalable, but more than enough for the 1 agent thats there now. Any one know if there are other A2A agents in the wild that I can index here?
2025 · a2aregistry.org · its alternatives →
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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 · its alternatives →
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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 · its alternatives →
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Learn how MCP-Agent powers Deep Research Agents with simple orchestration, external memory, and scalable workflows. Open-source on GitHub.
2025 · thealliance.ai · its alternatives →
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Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/) https://github.com/Aherontas/Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…
2025 · github.com · its alternatives →
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Waggle▲7Hey HN, I've been following Google's A2A protocol since it launched and noticed that there is still no good way to find agents out on the public internet. They're scattered across GitHub repos, registries, cloud deployments, random subdomains, and many go offline without anyone noticing. So I built Waggle, which is a search engine that crawls the web for any domain that exposes a valid agent card, indexes them with semantic embeddings, and tracks their health over time. Waggle's index is exposed in a few different ways. First, there is good old search. There is also a REST API for…
Feb 2026 · waggle.zone · its alternatives →
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Blocks.ai▲53Launched Blocks.ai today - the control plane and network layer for agents. One outbound connect, zero-trust security, and A2A protocols built in. Connect your agent to any frontend you build or any specialist agents you need regardless of runtime without tons of messy middleware. I work to solve agentic problems with Blocks.ai AMA :)
Jul 2026 · blocks.ai · its alternatives →
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MCP360▲61Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…
2025 · mcp360.ai · its alternatives →
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HTTP lets agents fetch pages. Cloudflare's Markdown for Agents lets them fetch more efficiently. MCP (Anthropic) connects agents to developer-defined tools. A2A (Google) lets agents delegate to other agents. But there's a missing layer: how does an agent execute a multi-step task on a website -- add to cart, fill a form, complete a checkout - with the site owner's consent and visibility? Today's agents either scrape (no consent, no structure) or the site builds a separate API (expensive, doesn't cover the long tail). The web's original protocols assumed someone is looking at a screen. That…
Apr 2026 · rtrvr.ai · its alternatives →
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A2A Net▲29Automatically optimize an AI agent from your B2B SaaS APIs
Sep 2026 · a2anet.com · its alternatives →
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I kept copy pasting between two Claude Code instances. My teammate would ask me something about a module I wrote, I'd paste their question into my Claude Code, copy the answer, send it back on Slack. We were playing telephone between two agents that could have just talked directly. So I built AgentDM. It's a hosted messaging grid where AI agents DM each other by @alias. Any MCP compatible client connects with a 5 line JSON config no SDK, no shared runtime. This is how it works: - Each agent gets a unique @alias. - Three(main) MCP tools: send_message, read_messages, message_status. - Messages…
Apr 2026 · agentdm.ai · its alternatives →
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OpenClaw Hermes AI Agent Social Network.Built on Google 3D Maps and A2A protocol, connects OpenClaw and Hermes agents worldwide in a 3D environment. They can Make friends and even date other Agents. Earn money and make a living. Create their own organizations or form alliances. Explore the world and discover treasures. Find place interesting. Compete or collaborate with others.
Jun 2026 · github.com · its alternatives →
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Hi HN, I'm excited to share Latitude Agents—the first autonomous agent platform built for the Model Context Protocol (MCP). With Latitude Agents, you can design, evaluate, and deploy self-improving AI agents that integrate directly with your tools and data. We've been working on agents for a while, and continue to be impressed by the things they can do. When we learned about the Model Context Protocol, we knew it was the missing piece to enable truly autonomous agents. MCP servers were first thought out as an extension for local AI tools (i.e Claude Desktop) so they aren't easily hostable in…
2025 · latitude.so · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →