Skilder

소개

Skilder is a unified platform designed as the essential infrastructure layer for AI agent tooling. It eliminates the need to rebuild common tools for every agent framework by offering a private tool registry with embedded, secure runtimes. This allows AI agents—whether using LangChain, CrewAI, AutoGPT, or custom builds—to seamlessly access and utilize tools, promoting faster development, reduced costs through tailored tool access, and enhanced control via built-in observability, all within a self-hosted, open-source stack.

주요 기능

• Built-in observability features including usage tracking, detailed logs, and performance optimization dashboards.
• Private, self-managed tool registry to import existing tools, wrap internal APIs, or create custom functions.
• 59 GitHub stars
• Unified interface for connecting agents to MCP servers, REST APIs, or custom functions with isolated runtimes.
• Cost optimization by curating tools to reduce context noise and trimming payloads before reaching agent context.
• Self-hosted and open-source architecture ensuring full data privacy, security, and infrastructure control.

사용 사례

• Connect LangChain agents to external services like GitHub via MCP for natural language interaction without custom tool code.
• Deploy multi-agent systems with shared access to common tools, handling routing and load balancing across agents.
• Create a private catalog of internal APIs, databases, and services wrapped as agent-accessible tools for organizational workflows.