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Commerce · alternatives · 2026

24 alternatives to OSIRIUM

Model Context Protocol for secure AI attestation on ETH

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Osaurus▲534

    Open source agents that run 100% locally on your Mac

    Jul 2026 · osaurus.ai · its alternatives →

  2. 2

    Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

    Dec 2025 · truefoundry.com · its alternatives →

  3. 3

    Power your AI agents with enterprise-ready tools via MCP

    2025 · merge.dev · its alternatives →

  4. 4

    I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your data model using SQLAlchemy, APIs, or custom logic, and EnrichMCP turns it into a type-safe, introspectable interface that agents can discover, traverse, and invoke. It auto-generates tools from your models, validates all I/O with Pydantic, handles relationships, and…

    2025 · github.com · its alternatives →

  5. 5

    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 →

  6. 6

    How two AI agents settled a USDC escrow over email on Base, with a public, verifiable on-chain transaction. Non-custodial, ERC-4337 wallets.

    Jun 2026 · agirails.io · its alternatives →

  7. 7

    Build & scale AI \ agents as microservices with IAM

    Dec 2025 · agentfield.ai · its alternatives →

  8. 8

    I'm Mike, Head of Eng/Product at Alloy Automation. We built MCP by Alloy Automation to give your AI agents structured access to business-critical systems without the integration headache. We've built MCP servers covering thousands of tools across platforms like Quickbooks, Xero, Notion, HubSpot, and Salesforce. Pick the tools you need, provision a server, and ship faster. Need more control? Our Connectivity API gives you programmatic access to all the same tools for custom integrations beyond MCP. Everything runs with scoped auth utilizing our battle-tested credential management system…

    2025 · ai.runalloy.com · its alternatives →

  9. 9

    The narrow control plane for AI agent tool and API calls.

    Aug 2026 · aegisora-ai.vercel.app · its alternatives →

  10. 10

    Safe, autonomous desktop AI with a living memory

    Feb 2026 · osirisbrain.com · its alternatives →

  11. 11

    Real-time database schemas for AI-IDEs via MCP protocol

    2025 · schemaflow.dev · its alternatives →

  12. 12
    Heron ▲105

    Wireshark for AI Agents: passive eBPF observability

    Jun 2026 · github.com · its alternatives →

  13. 13

    Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…

    Aug 2026 · salestrics.com · its alternatives →

  14. 14

    Hi HN, I wrote a book on the Model Context Protocol (MCP) – the open standard from Anthropic that lets AI agents connect to external tools and data sources. I'm an RPA/automation practitioner (CEO of Niuexa, LinkedIn Learning instructor) and I noticed there was no comprehensive resource covering MCP architecture, security patterns, and enterprise deployment strategy. So I wrote one. The book covers: - MCP architecture deep dive (servers, clients, hosts, transport layers) - 20-point security checklist for MCP deployments - EU AI Act compliance for agentic systems - Real-world breach…

    Nov 2025 · blueprint-mcp.railsblueprint.com · its alternatives →

  15. 15

    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 →

  16. 16

    Hosted MCP and AI agent tooling for crypto & DeFi

    2025 · aurracloud.com · its alternatives →

  17. 17

    You can read more about EQTY Lab's enterprise-focused usage of this tooling here: https://www.eqtylab.io/blog/securing-model-context-protocol

    Dec 2025 · guardianmcp.dev · its alternatives →

  18. 18

    over this weekend myself and two of my friends took part in a hackathon and built this side-project. we have been diving into computer-use recently and developed an sdk to make it easy to implement for devs like us. one feature we were missing though, was the agent being able to log into services. anthropic understandably blocks this capability with their guardrails, and you wouldn't want your credentials to end up in any model context anyways. so we added a keychain service to the vm that the agent is using. it was built using the pass cli (https://www.passwordstore.org/).…

    2025 · github.com · its alternatives →

  19. 19

    Dedicated infrastructure for AI agent fleets — email, phone, web search, file storage, page hosting, 2FA, cron, and encrypted vault on domains reserved exclusively for your project. Access by arrangement.

    Mar 2026 · keyid.ai · its alternatives →

  20. 20

    EVMAuth is an open protocol to enable secure authorization in a simple, standard way for Web3 apps, APIs, and AI agents. More specifically, EVMAuth is a smart contract written in Solidity that can be deployed to any EVM (e.g. Ethereum, Radius, Base) that extends the ERC-1155 token standard, enabling developers to restrict and sell access to web resources, content, and applications based on token ownership. EVMAuth has a ton of practical applications, such as: • access control • memberships • subscriptions • API credits for metered usage • gamification (achievements, badges, etc.) •…

    2025 · github.com · its alternatives →

  21. 21

    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 →

  22. 22

    AI firewall for LLM calls, MCP tools, and agentic workflows

    Jul 2026 · argusai-tau.vercel.app · its alternatives →

  23. 23

    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 →

  24. 24

    Model Context Protocol (MCP) is a new open standard that gives AI agents a universal interface to external tools and data. Discover how MCP empowers more powerful, autonomous AI assistants to perform real-world tasks seamlessly.

    2024 · agnt.one · 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 →