Show HN: Agent-data – a CLI for giving agents real-time, structured data

agent-data는 AI 에이전트가 브라우저 자동화 없이 실시간 구조화 데이터를 CLI를 통해 접근할 수 있게 하는 도구입니다. 이를 통해 에이전트가 사용자 선호를 반영하면서도 시기적절한 외부 데이터(예: 항공편 검색)를 활용해 더 유용한 작업을 수행할 수 있습니다. 기존 브라우저 자동화나 스크래핑 방식의 한계를 극복하고, 에이전트가 런타임에 적절한 엔드포인트를 찾아 호출하는 간단하고 예측 가능한 인터페이스를 제공합니다. 현재 항공편, 음식점, RSS, 소셜 미디어 등 라이브 데이터 엔드포인트를 지원하며, JSON 구조화 출력과 CLI 기반 워크플로우에 최적화되어 있습니다.

https://agent-data.dev/

#aiagent #clitool #realtimedata #structureddata #agentworkflows

agent-data

agent-data — CLI for giving agents real-time, structured data.

APM (Agent Package Manager) là công cụ mới giúp quản lý prompt, workflow và ngữ cảnh cho AI agents như mã nguồn: version, chia sẻ, tái sử dụng dễ dàng.

Ưu điểm:
- `apm init` tạo package rules/prompts
- Publish lên GitHub, install bằng `apm install`
- Compile tối ưu và chạy với `apm run` trên CLI như Codex
- Hỗ trợ local LLaMA, không cần cloud API

Dự án mã nguồn mở, phù hợp dev AI! Thử nghiệm và feedback nhé.

#AIMachineLearning #LLM #AgentWorkflows #TríTuệNhânTạo #LLaMA (248 ký tự)

https://

One thing that is strangely missing from this blogpost is the comparative resource efficiency of each workflow, based on a standard fixed metric. But I imagine that for Anthropic that's not a problem ;-)

"Success in the LLM space isn't about building the most sophisticated system. It's about building the right system for your needs. Start with simple prompts, optimize them with comprehensive evaluation, and add multi-step agentic systems only when simpler solutions fall short.

When implementing agents, we try to follow three core principles:

- Maintain simplicity in your agent's design.

- Prioritize transparency by explicitly showing the agent’s planning steps.

- Carefully craft your agent-computer interface (ACI) through thorough tool documentation and testing.

- Frameworks can help you get started quickly, but don't hesitate to reduce abstraction layers and build with basic components as you move to production. By following these principles, you can create agents that are not only powerful but also reliable, maintainable, and trusted by their users."

https://www.anthropic.com/engineering/building-effective-agents

#AI #AIAgents #AgentWorkflows #GenerativeAI #LLMs #Chatbots #ACI

Building Effective AI Agents

Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.