10 packages found
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for
Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — c
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
Local-first workflow engine with a Web UI for small teams. Define DAGs in a declarative YAML format. Self-contained and
Visual circuit builder for designing AI-powered data pipelines. Drag-and-drop soft chips to create chips and workflows f
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with j
Claude Code Skill. AI-powered software documentation automation. Professional software documentation specialist. Featuri
⚡ The most complete Kiro IDE toolkit — 34 AI Agents, 32 Expert Hooks, 50 Skills, 22 Steering Rules & 44 MCP Integrations