仓库/Skill 库

开源超级 AI 助手与 Agent 编排框架。任务规划、工具与 Skill 调用、基于记忆和知识的自演化。多模型、多通道、轻量、可扩展，一行安装。（原名 chatgpt-on-wechat）Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)

面向 agents、助手和企业搜索的私有 AI 平台，内置 Agent Builder、深度研究、文档分析、多模型支持，以及为 agents 提供 API 连接能力。Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

潜入 Shell 的幽灵。Ante 是一个自包含的 Agent 框架，核心高度优化。体验类似 Claude Code 或 Codex，但无其依赖与模型限制。Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.

[GenAI 应用开发框架] 🚀 快速轻松构建 GenAI 应用 💬 在代码中使用结构化数据和链式调用语法与 GenAI Agent 交互 🧩 使用事件驱动的 *TriggerFlow* 管理复杂的 GenAI 业务逻辑 🔀 无需重写代码即可切换任意模型[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code

论文"LAMBDA: A large Model Based Data Agent"的官方仓库。https://www.polyu.edu.hk/ama/cmfai/lambda.htmlThis is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html

开源核心的 AI 工作台——覆盖任何模型的 notebooks、Agent、RAG、语音和图像：OpenAI、Anthropic、Google、xAI，或通过 Ollama/vLLM 的本地模型。BSL 1.1，两年后自动转换为 Apache-2.0。当别人的 AI 停止运行时，你的 AI 仍在运行。The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't.

发布 AI Agent 制品，而非 demo 表演 — 验证器把关、跨模型族运行，自动学习哪个模型最优。Ship AI-agent artifacts, not demo theater — verifier-gated, cross-family runs that learn which model wins.

面向 AI agent 的基于证据的评估——将每条断言与 agent 真实工具输出进行核对（受约束、基于证据的模型判断，而非整体式 LLM 评判的猜测），并附带置信区间。Evidence-grounded evaluation for AI agents — verifies each claim against the agent's real tool outputs (constrained, evidence-grounded model judgment, not holistic LLM-judge guesswork), with confidence intervals.

本地 Windows 桌面监视器，用于查看正在运行的 Claude Code agent —— 实时状态、预估成本、模型、主机以及一键聚焦，按项目分组。只读且完全离线。Local Windows desktop monitor for your running Claude Code agents - live status, estimated cost, model, host and one-click focus, grouped by project. Read-only and fully offline.

Autobots | 由 NVIDIA NIM 驱动的去中心化模型 agent 集群。通过专用 6 文件控制架构编排高精度、端到端可鉴权软件开发流程，具备自动化安全审计、无冗余任务路由与自主状态管理能力。Autobots | A decentralized model agentic swarm powered by NVIDIA NIM. Orchestrating high-precision, end-to-end authenticated software development through a specialized 6-file control architecture. Features automated security auditing, non-redundant task routing, and autonomous state management.

Hearting —— 面向 Claude Code、Codex 与 OpenCode 的 agent 设置。一份可移植契约覆盖三者，支持能力路由、跨运行时密封调度、节点级模型分层与实时 Fleet 视图，前身为 agent_settingHearting — the agent setting for Claude Code, Codex, and OpenCode. One portable contract projected onto all three, with routed capabilities, sealed cross-harness dispatch, per-node model tiers, and a live Fleet view. Formerly agent_setting.

你的 agent 能写出变更——却无法告诉你还有哪些内容依赖于它正在修改的代码。本工具从你自己的代码构建产品模型，然后对每个任务打分：变更内容、影响范围、波及的用户旅程与敏感数据——让运算结果直观呈现在屏幕上。本地运行，零依赖，无遥测。包含 MCP。Your agent can write the change — it can't tell you what else depends on the code it's touching. This builds a model of your product from your own code, then scores every task: what it changes, what that reaches, which user journeys and sensitive data are in the blast radius — arithmetic on screen. Local, zero deps, no telemetry. MCP included.

你的 AI Agent 无法掏空的钱包。一个非托管的 Soroban 资金库，限定自主 Agent 的支出上限——由合约而非模型强制执行。The wallet your AI agent can't drain. A non-custodial Soroban treasury that bounds what an autonomous agent may spend - enforced by the contract, not the model.

自构建的 AI Agent 框架——多模型 ReAct + 分层缓存友好的上下文 + 异步多 Agent + XML 工作流。CLI 与 WebUI，零 LangChain。An AI agent framework that builds itself — multi-model ReAct + tiered cache-friendly context + async multi-agent + XML workflows. CLI & WebUI, zero LangChain.

🤖 通过 Model Context Protocol 服务器在 IDE 与 CLI 工具间共享记忆并协调任务，增强 AI Agent 之间的协作🤖 Enhance collaboration among AI agents with a Model Context Protocol server that shares memory and coordinates tasks across IDEs and CLI tools.

AI it yourself——一款原生 iOS 聊天应用，Agent 可在其中构建你所需的小工具，沙箱化且立即可用。无服务器、无账号：自带 API key、本地机器或在 iPhone 上运行的模型。AI it yourself — a native iOS chat where agents build the small tools you need, sandboxed and usable immediately. No server, no account: bring your own API key, your own machine, or a model running on the iPhone.

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

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.

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.

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).

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.