nowfound

AI · alternatives · 2026

24 alternatives to AgentSphere

First MCP-Integrated Agent-native Infra for AI Agents

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1

    Power your AI agents with enterprise-ready tools via MCP

    2025 · merge.dev · its alternatives →

  2. 2
    Strata▲652

    One MCP server for AI agents to handle thousands of tools

    2025 · klavis.ai · its alternatives →

  3. 3
    CoreSpeedfree tier, from $20/mo▲332

    One MCP for everything your agents need: apps, memory, tools

    28d ago · corespeed.io · its alternatives →

  4. 4

    Build & scale AI \ agents as microservices with IAM

    Dec 2025 · agentfield.ai · its alternatives →

  5. 5

    Vibe-code MCP-ready tools for any AI Agent

    2025 · its alternatives →

  6. 6

    Build production agents with harness and sandbox

    Apr 2026 · openai.com · its alternatives →

  7. 7
    AutoMCP▲150

    Easily deploy your existing AI agent projects as MCP servers

    2025 · 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

    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 →

  10. 10

    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 →

  11. 11
    Agent Sandboxfree tier, from $0.00025/mo▲97

    Your agent's personal remote computer and drive

    Feb 2026 · agentsandbox.co · its alternatives →

  12. 12

    Open-source Computer Use MCP for AI agents

    May 2026 · github.com · its alternatives →

  13. 13

    Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.

    2025 · mcp-cloud.ai · its alternatives →

  14. 14
    cospec▲86

    Tools, memory, and control for AI agents. Build cloud MCPs, index dev workflows, monitor agent sessions.

    2025 · cospec.ai · its alternatives →

  15. 15
    Mycelis▲69

    Serverless AI workspace with smart routing & MCP agents

    May 2026 · mycelis.ai · its alternatives →

  16. 16

    We’ve been working with automating coding agents in sandboxes as of late. It’s bewildering how poorly standardized and difficult to use each agent varies between each other. We open-sourced the Sandbox Agent SDK based on tools we built internally to solve 3 problems: 1. Universal agent API: interact with any coding agent using the same API 2. Running agents inside the sandbox: Agent Sandbox provides a Rust binary that serves the universal agent API over HTTP, instead of having to futz with undocumented interfaces 3. Universal session schema: persisting sessions is always problematic, since…

    Jan 2026 · github.com · its alternatives →

  17. 17

    Contribute to vrn21/bouvet.com development by creating an account on GitHub.

    Jan 2026 · github.com · its alternatives →

  18. 18

    Automate browser based workflows with AI. Contribute to Skyvern-AI/skyvern development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  19. 19

    Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…

    2025 · github.com · its alternatives →

  20. 20

    Open Source agent Sandboxes. Contribute to mihirahuja1/agentnestOSS development by creating an account on GitHub.

    Jul 2026 · github.com · its alternatives →

  21. 21

    Managed cloud for open-source AI agents

    Jul 2026 · mantlecore.ai · its alternatives →

  22. 22

    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 →

  23. 231D

    We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…

    Jun 2026 · its alternatives →

  24. 24

    Hosted MCP and AI agent tooling for crypto & DeFi

    2025 · aurracloud.com · its alternatives →

Also compare

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 →