开发者工具3 weeks ago
Nirium | Live on Stellar Mainnet — payment & audit rails for AI agents
在 Stellar 主网上为 AI 代理处理支付和账单的基础设施。
Open source
@vaiossx · X
Thanks, what about ?
完整作品展
技术栈
9 projects
在 Stellar 主网上为 AI 代理处理支付和账单的基础设施。
@vaiossx · X
Thanks, what about ?
Reader gives AI agents reliable web context by turning URLs into clean Markdown, structured JSON, crawl results, and browser sessions.
@nihal_was_here · X
为AI代理提供的按次付费工具，以USDC在Base上计价。
jmavid · HN
AgisHub – pay-per-call tools for AI agents over x402 (USDC on Base)
用于 AI 代理的开源持久化内存系统，支持本地和远程共享。
mthines · HN
A couple of weeks ago I built an open source system for handling memory for agents, and it's called LoreKit. It supports local and remote (so you can share with colleagues for instance) memory, it's free, open source and REALLY easy to set up. Local memories requires no sign up, but remote does obviously - but sign up is just OAuth. It's retrieving memories lexically - so no embedding (for now), but using scopes and labels to make sure the memories you retrieve are relevant automatically. And it
用 API 或 MCP 工具将 Markdown 转换为 PDF，为 AI 代理优化。
@Peterhallanderr · X
I've been building a PDF API for AI agents. The idea is stupidly simple: Markdown in. Finished document out. No template editor. No template IDs. No dashboard. One API call or one MCP tool call. Just launched the beta → #buildinpublic #saas
将 JSON 规范转换为图表和仪表板，包括免费 MCP 服务器。
@SlickFastHQ · X
MemoFS Cloud — 为AI代理提供文件优先内存运行时，支持仪表板和HTTPS API访问。
@memofsdev · X
通过回答问题构建AI代理，导出到Claude Code。
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.