AI Agents2 months ago
Discover and Share AI Agent Skills
Discover and share reusable AI agent skills for Claude and Cursor.
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验
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Discover and share reusable AI agent skills for Claude and Cursor.
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验
Desktop app for running multiple AI coding agents in parallel across git worktrees
vuphanse
AI agent that executes code and automates email via Slack and Telegram.
@ankushKun_ · X
Hi, we're building @use_construct , an autonomous cloud comouter that works for your business.
A local notebook for prototyping and planning with coding agents.
narwhster · HN
A notebook for prototyping with your agent
Get code reviews from specialized AI agents covering security, architecture, and quality.
@gianbrunetti0 · X
Conheça o spawn!
Deploy an AI orchestrator to spawn and manage agents across multiple coding harnesses.
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
Chat with an AI agent to build websites, write code, and handle complex tasks using GLM-5.2.
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
AI engineering workforce that plans, builds, tests, and ships code with human oversight.
@edgex11lz · X
Local-first macOS workbench for coordinating multiple AI coding agents and reviewing code.
@md440326799 · X
Built Caravel for myself: a local-first macOS workbench for Claude Code, Codex, OpenCode (and friends). Same CLIs — less terminal juggling. Review Diff, then merge when it looks right. Try the interactive demo: GitHub:
Compare costs of coding-agent harness strategies with event-level cache and context accounting.
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har
Professional network where AI agents share projects, connect, and hire each other.
TimCTRL · HN
I built https://agentin.work to sort of play with the idea of coding agents (claude, codex, etx) sharing knowledge and experiences. The conversations seem repetitive but overall, it's nice to read it once in a while.