一款将模型命令沙箱化,并使用可编辑状态机处理长时间任务的编码 AgentA coding agent that jails model commands and uses editable state machines for long-running tasks
仓库/Skill 库
86 个 · Agent 智能体 · 模型
将 Claude-English 重写为通俗英语。基于开源模型的 MCP 服务器、REST API 和 Claude Code hookRewrites Claude-English into plain English. MCP server, REST API and Claude Code hook, on an open-source model.
一个为 Model Context Protocol 提供策略执行能力的 gateway。聚合 MCP server,强制工具调用策略,扫描结果中的 prompt injection 与凭证泄露,并审计一切。Rust 实现。A policy-enforcing gateway for the Model Context Protocol. Aggregates MCP servers, enforces tool-call policy, scans results for prompt injection and leaked credentials, and audits everything. Rust.
多语言 AI agent 服务 — 基于单一 schema 驱动的 WebSocket 协议,提供知识对话、工具调用、持久检查点、人机协同与多方会话。基于 smooth-operator-core 引擎构建(5 种语言特性一致)。可部署到 Kubernetes、AWS serverless 或本地运行。托管于 lom.smoo.ai。Polyglot AI agent service — knowledge chat, tools, durable checkpoints, human-in-the-loop, and multi-participant conversations over one schema-driven WebSocket protocol. Built on the smooth-operator-core engine (5-language parity). Deploy to Kubernetes, AWS serverless, or run locally. Hosted at lom.smoo.ai.
可复现的研究流水线:将基于 Agent 的模型产出转化为有证据支撑的 LLM 高管报告。A reproducible research pipeline for converting agent-based model artifacts into evidence-backed LLM executive reports.
面向编码 Agent 的本地运行时,以合并质量为优化目标:由仓库自适应常驻模型生成补丁,大模型进行验证。单进程同时支持 Anthropic + OpenAI API,天生离线运行。A local coding-agent runtime that optimises for merge quality: a repo-adapted resident model generates patches, a large model verifies them. Anthropic + OpenAI APIs from one process, offline by construction.
基于 TypeScript 的独立框架,通过统一原语 Component 组合安全的个人 AI agent:manifest-first 发现、能力授予、正交模型路由与信息流控制。Standalone TypeScript framework for composing secure personal AI agents from one universal primitive — the Component. Manifest-first discovery, capability grants, orthogonal model routing, and information-flow control.
基于 Agno Agent 框架、Together AI 的 Qwen 模型与 Composio 工具构建的高级 AI 研究 Agent。该 Agent 通过生成研究问题、调用多个搜索引擎寻找答案,并结合 Google Docs 集成整理专业报告,帮助用户对任意主题开展全面研究An advanced AI research agent built using the Agno Agent framework, Together AI's Qwen model, and Composio tools. This agent helps users conduct comprehensive research on any topic by generating research questions, finding answers through multiple search engines, and compiling professional reports with Google Docs integration.
Buzz Agent 运行时 harness——监控 stock buzz-acp,可选的 sandbox 前置入口、DNA 完整性校验与 memory checkpoint。Buzz agent runtime harness — supervise stock buzz-acp, optional sandbox front door, DNA integrity, and memory checkpoint.
立场论文:编码 Agent 需要对代码库决策的显式建模,而不仅仅是结构建模。Position paper: coding agents need an explicit model of codebase decisions, not just structure"
自托管共享记忆,面向 AI Agent 团队。支持房间(Rooms)、L0-L3 层级深度与 MCP;读取路径不调用任何语言模型。基于 vectorize-io/hindsight(MIT)的 fork。Self-hosted shared memory for a team of AI agents. Rooms, hierarchical L0-L3 depth, MCP. The read path never invokes a language model. Fork of vectorize-io/hindsight (MIT).
GoVail MCP —— 用于 GoVail 平台集成的 Model Context Protocol server 与工具。GoVail MCP — GoVail 플랫폼 연동을 위한 Model Context Protocol 서버 및 도구
用自然英语描述一个零件,即可获得完全可编辑的参数化 Fusion 360 模型。LLM 针对 28 个类型化 CAD 端点生成经过校验的 JSON feature 方案,通过 MCP server 与 Fusion 360 插件执行。附带 mock 后端,无需安装 CAD 即可运行。Describe a part in plain English, get a fully editable parametric Fusion 360 model. An LLM emits a validated JSON feature plan against 28 typed CAD endpoints, executed through an MCP server and a Fusion 360 add-in. Ships a mock backend so it runs with no CAD install.
面向 Linux VPS 服务器的自主式 AI 驱动 SOC 安全 agent 与实时威胁分类器。包含针对 48 种攻击类别微调的 DistilBERT Transformer、DDoS 异常检测器、系统资源监控器、带 HTML 邮件告警的中央告警引擎,以及 REST 健康诊断接口。Autonomous AI-powered SOC Security Agent & Real-Time Threat Classifier for Linux VPS servers. Features a fine-tuned DistilBERT transformer (48 attack classes), DDoS anomaly detector, system resource monitor , central alert engine with HTML email reporting, and REST health diagnostics.