EthersFlow · HN

EthersFlow-Adversarial Multi-Model Consensus Gate for AI Agent Action

@baronfud · X

@SecraHQ · X

@Harivig94387178 · X

Just go to to In mobile for audio video image In desktop for invoice pdf Canva And create a file download and verify thats all

samoladji · HN

Vaultak – Security for AI agents (built before the breaches started)

Willdom1986 · V2EX

多年前考过 CCNP 网络工程师，以前有一个很头疼的地方就是网络设备配置丢失引发的各种故障。后来越发觉得，网络设备的配置实际上是一个非常关键的数字资产。 为此，我利用周末时间开发了 XConf ( https://xconf.ai) 来解决这个问题。 产品主要就是想解决两个问题：**自动化的灾备高可用**，以及**端到端的安全**。 * **自动备份与灾备**：支持将配置定时备份到云端。如果网络断连了，探针会自动在本地离线队列里暂存配置，等连接恢复后自动重传。 * **端到端加密**：本地的 Go 探针是完全开源的，会自动在内存中对密码进行流式脱敏，并在上传前通过 AES-256-GCM 在本地加密。SaaS 后台拿到的只有密文，解密和版本比对（ Diff ）都完全在你的浏览器本地沙盒里通过 WebCrypto API 进行。 * **打磨版的配置对比 Diff**：我花了一些功夫打磨了浏览器端的配置版本对比功能，力求让日常比对的交互体验足够丝滑。 * **AI 安全基线审查**：系统集成了 AI 辅助的安全基线审查，可以一键检查和分析配置中的潜在风险。 因为目前完全是我利用业余时间（主要在周末）维护，所以确实没精力提供工作日的在线即时客服。大家使用过程中遇到任何 Bug ，欢迎随时去 GitHub 提 Issue ，我会在周末集中修复和跟进。 目前公测已开放，不需要邀请码即可注册，欢迎大家体验吐槽。 探针 agent 开源地址： https://github.com/willdom-lee/xconf-agent 官方网站： https://xconf.ai

eli-labz · GitHub

Agent-Execution-Partnership Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable while it runs, and verifiable after it completes.

loopedcircuits · HN

AI Crypto Investigations/Research Agents

u/clausyn · Reddit

I built Pastepile because I was tired of re-explaining the same context to Claude and Cursor I originally built Pastepile as a fast way to share code, logs, configs, and text without creating an account. While using AI coding tools, I kept running into another problem: every new session meant explaining the same architecture, decisions, debugging history, and project context all over again. So I added an MCP server that lets Claude, Cursor, Windsurf, VS Code, and other MCP clients save us

@101x101x101 · X

@Ex3NDR · X

Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon

@ThrillStack · X