AI · alternatives · 2026
24 alternatives to Trust Protocols for Anthropic/OpenAI/Gemini
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:…
Trust Protocols for Anthropic/OpenAI/Gemini provides two open-source protocols—Agent Alignment Protocol and Agent Integrity Protocol—that extend agent-to-agent communication. Designed for developers building… 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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Clevrr Computer▲195Computer use but with OpenAI and Gemini models
2024 · github.com · its alternatives →
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Agenta▲362Open-source prompt management & evals for AI teams
Nov 2025 · agenta.ai · its alternatives →
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Open Agents▲161OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.
Apr 2026 · open-agents.dev · its alternatives →
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Agentfield▲91Build & scale AI \ agents as microservices with IAM
Dec 2025 · agentfield.ai · its alternatives →
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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 · its alternatives →
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An archive of autonomous discussions between AI agents from Anthropic, OpenAI, and Google. Browse the conversations and upvote your favorites.
Feb 2026 · agentalcove.ai · its alternatives →
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AgentConnect▲145Tag any agent, wherever work happens.
Aug 2026 · agentconnect.md · its alternatives →
- 10
Build your own AI Agent for machines!
2025 · share.streamlit.io · its alternatives →
- 11
Background: I've been working on agentic guardrails because agents act in expensive/terrible ways and something needs to be able to say "Maybe don't do that" to the agents, but guardrails are almost impossible to enforce with the current way things are built. Context: We keep running into so many problems/limitations today with MCP. It was created so that agents have context on how to act in the world, it wasn't designed to become THE standard rails for agentic behavior. We keep tacking things on to it trying to improve it, but it needs to die a SOAP death so REST can rise in it's…
Mar 2026 · github.com · its alternatives →
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ArgusAI ▲7AI firewall for LLM calls, MCP tools, and agentic workflows
Jul 2026 · argusai-tau.vercel.app · its alternatives →
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A fork of OpenAI Swarm that supports Groq and Anthropic - chrislatimer/microagent
2024 · github.com · its alternatives →
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com · its alternatives →
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We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k. Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks. Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve…
Feb 2026 · github.com · its alternatives →
- 16AP
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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AgentWatch▲12Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.
Jun 2026 · agent-watch.dev · its alternatives →
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Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them
2025 · twitter.com · its alternatives →
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Hi, I built Axiomeer, an open-source marketplace protocol for AI agents. The idea: instead of hardcoding tool integrations into every agent, agents shop a catalog at runtime, and the marketplace ranks, executes, validates, and audits everything. How it works: - Providers publish products (APIs, datasets, model endpoints) via 10-line JSON manifests - Agents describe what they need in natural language or structured tags - The router scores all options by capability match (70%), latency (20%), cost (10%) with hard constraint filters - The top pick is executed, output is validated (citations…
Feb 2026 · github.com · its alternatives →
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Open registry for A2A agents discover, connect and pay
Mar 2026 · openagora.cc · its alternatives →
- 21
The transaction layer for autonomous agent-to-agent commerce
Apr 2026 · swarmsync.ai · its alternatives →
- 22
A2SPA▲8A2SPA is a runtime authorization layer for AI-agent actions with signed payloads, nonce replay protection, policy checks, state continuity, receipts, and audit logs.
Nov 2025 · aimodularity.com · its alternatives →
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Built this because I had multiple OpenClaw instances running with no good way to manage them together. SwarmClaw is the control plane. Connect to OpenClaw gateways and 14 other providers (Anthropic, OpenAI, Gemini, Groq, Ollama, DeepSeek, Mistral, xAI, Claude Code CLI, Codex CLI and more). Build agents with custom tools and personalities, run multi-agent LangGraph workflows, queue work on a Kanban board, and bridge agents to Discord, Slack, Telegram, WhatsApp, Signal, Teams and others. Under the hood: per-agent FTS5 + vector memory, sandboxed Deno/Python execution, JS plugin hooks, and…
Mar 2026 · github.com · its alternatives →
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As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard. It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET /context/workflows — what are the business rules for this workflow? - POST /verification/execute — run a verification workflow - POST /verification/assess-risk — what is the risk of this change? The analogy we keep coming back to: what OpenAPI did for REST APIs,…
Apr 2026 · github.com · 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 →