AI · alternatives · 2026
24 alternatives to ASAP (Advanced Semantic AI Platform)
Over 20 cutting-edge genAI agents in a single workspace!
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 1 we have checked on their own sites, 1 of them free or with a free tier. ASAP (Advanced Semantic AI Platform) launched in 2024; newer entries below may have overtaken it.
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Theneo 3.0▲624The API management platform for humans and agents
2024 · theneo.io · its alternatives →
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SimplAIfree tier, from $5/mo▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
2025 · simplai.ai · its alternatives →
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crewAI▲389Platform for building sophisticated multi-agent interactions
2024 · crewai.io · its alternatives →
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Take solutions to your customers, with ASAP.
2018 · zoho.com · its alternatives →
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Tag, message, + manage AI agents across your daily workflows
Dec 2025 · clickup.com · its alternatives →
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AI powered solutions for optimal efficiency and growth
2023 · everefficient.ai · its alternatives →
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GenAI powered search for your app and website
2024 · devrev.ai · its alternatives →
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AutonomyAI▲325Directly edit and tweak UI pixels live with AI agents
2025 · autonomyai.io · its alternatives →
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Continual learning for every coding agent on your team.
2025 · deeplake.ai · its alternatives →
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The Agent Hub▲181AI agents for every task, all in one hub
2023 · agenthub.mindpal.space · 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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MetaGenieAI▲117Streamline your content creation with AI-generated metadata
2023 · genieai-app.vercel.app · 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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Tray.ai is the AI-native enterprise iPaaS for building AI agents, governing Model Context Protocol (MCP), and integrating 700+ apps — orchestration for data…
2012 · tray.io · 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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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 →
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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 →