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We Built a Capability Discovery Engine for AI Agents in 6 Hours
How-ToMachine Learning

We Built a Capability Discovery Engine for AI Agents in 6 Hours

via Dev.toMicrowave14h ago

The Problem: Agent Tools Are Siloed Across Platforms If you're building AI agents, you've probably hit this wall: you need to find the right capability (like "send an email" or "read a calendar"), but it's scattered across platforms. OpenClaw has its own skill registry. MCP has its servers. LangChain has tools. CrewAI has its ecosystem. Composio maintains another set. And so on. Each platform has its own format, its own documentation style, its own submission process. No one index exists. No single search that says "show me every way an agent can send email across all platforms." So we built one. What is AgentSift? AgentSift.ai is a unified capability discovery engine for AI agents. It indexes 341+ capabilities across 7 major platforms: OpenClaw (custom agent framework) Model Context Protocol (MCP) (Anthropic's server standard) LangChain (tools ecosystem) CrewAI (agent orchestration) Composio (integration platform) OpenAI (function calling) NEAR AI (blockchain agent platform) One searc

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