Directory

com.anots由 anots.com 发布官方发布者v1.0.0更新于 Oct 24, 2026

Discover and query every business on ANOTS — search, ask, or find-and-ask over MCP.

已验证Streamable HTTP可网页运行网页搜索与抓取商业与电商

概览

AI 生成的概览

远程 ANOTS 目录服务器,让助手按需求查找商家、向其 AI 代理提问,并并排比较各家回答。

可以做什么
  • 在 ANOTS 目录中搜索其 AI 代理能回答某问题或需求的商家,返回 slug、名称、业务说明和 agent-card 地址
  • 按 slug 向指定商家的代理提问,回答来自该商家自己的知识库和工具
  • 一步完成“找到最相关的商家并逐一提问”,并排返回各家回答
适用场景
适合需要就购买意向或调研问题咨询第三方商家自有代理、而非依赖通用网页结果的场景,也适合比较多家厂商对同一需求的答复。
运行要求
需要连接 api.anots.com 的远程 streamable HTTP 端点;未声明任何软件包、环境变量或请求头,也未声明身份验证。
安装前请注意
提问和需求会发送给第三方商家的代理,可能被记录或处理,请勿包含机密或个人信息。回答来自各商家自己的资料,应视为厂商说法而非中立事实。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Directory,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.anots%2Fdirectory/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "directory": {
      "type": "http",
      "url": "https://api.anots.com/mcp"
    }
  }
}

README

TCAM Memory System

Resilient 4-Layer Memory Architecture for TCAM v1.4 (Triadic Cognitive Augmentation Model)

Overview

The TCAM Memory System implements a fault-tolerant memory architecture where each layer operates independently, ensuring that system failures in one layer do not cascade to others. Memory operations are handled by a dedicated Memory Service running on Qwen 3.5 9B (local LLM).

Architecture

Four Independent Layers

  • L1: Chronicle - Immutable historical record (file system, markdown)
  • L2: Active Stream - Volatile working memory (Cloud LLM context + Redis)
  • L3: Hive Mind - Semantic memory (Qdrant vector DB + Mem0)
  • L4: Agent Codex - Personal knowledge base (file system, markdown)

Memory Service

Dedicated process running on Qwen 3.5 9B for:

  • Truth extraction from dialogue
  • Chronicle inscription
  • Hive Mind indexing
  • Agent Codex updates
  • Sleeping cycle orchestration

Technology Stack

  • TypeScript/Node.js - Core implementation
  • Qwen 3.5 9B - Local LLM for memory operations
  • Mem0 - Automatic fact extraction
  • Qdrant - Vector database for semantic search
  • Redis - Fast state persistence (LangGraph checkpointer)
  • LangGraph - Multi-agent orchestration
  • Jest - Testing framework
  • fast-check - Property-based testing

Project Structure

.├── src/                    # Source code├── tests/                  # Test files├── data/                   # Chronicle storage├── codex/                  # Agent Codex (L4)├── docs/                   # Documentation└── .kiro/specs/           # Specification documents

Getting Started

Prerequisites

  • Node.js 18+
  • Ollama (for Qwen 3.5 9B)
  • Docker (for Qdrant and Redis)

Installation

bash
# Install dependenciesnpm install --legacy-peer-deps
# Pull Qwen 3.5 9B modelollama pull qwen2.5:9b-instruct-q4_K_M
# Pull embedding modelollama pull nomic-embed-text
# Start Qdrant (using setup script)# Windows PowerShell:.\scripts\setup-qdrant.ps1
# Linux/Mac:bash scripts/setup-qdrant.sh
# Or manually with Docker:docker run -d --name qdrant -p 6333:6333 -p 6334:6334 -v qdrant_storage:/qdrant/storage qdrant/qdrant
# Start Redisdocker run -d --name redis -p 6379:6379 redis
# Build and install globallynpm run buildnpm install -g . --legacy-peer-deps

CLI Usage

bash
# Interactive main menuanots
# Real-time monitoring dashboard (Terminal UI)anots dashboard
# Chat with Axiom (TCAM Node C)anots axiom
# Start MCP server (19 tools for IDE integration)anots mcp:start
# Start REST API serveranots api:start
# Start API with Axiom chat endpointanots api:start --axiom
# Search memoryanots memory:search "your query"
# Import conversation (JSON/Markdown)anots import conversation.json --type general
# System statusanots status
# Configuration wizardanots setup
# Show all commandsanots --help

Dashboard Features

The Terminal UI dashboard (anots dashboard) provides:

  • Real-time memory layer health monitoring
  • System statistics (chapters, sessions, memories)
  • Activity log with timestamps
  • Keyboard shortcuts (F1-F3, R, Q)
  • Auto-refresh every 2 seconds
  • Cyberpunk aesthetic with 90s BBS vibes

Verify Setup

bash
# Check Qdrantcurl http://localhost:6333/health
# Check Redisredis-cli ping
# Check Ollamaollama list

Development

bash
# Buildnpm run build
# Run testsnpm test
# Run tests with coveragenpm run test:coverage
# Lintnpm run lint
# Format codenpm run format

Importing Conversations

Import large conversation files into the ANOTS memory system:

bash
# Import Ubik conversationnpm run import -- data/import/conversation.json --type ubik
# Import Axiom conversationnpm run import -- data/import/conversation.md --type axiom
# Preview import without writing (dry run)npm run import -- data/import/conversation.json --dry-run
# Custom chunk size (messages per chapter)npm run import -- data/import/large-file.json --type ubik --chunk-size 100

What Gets Imported

  1. Chronicle: Conversation history in chapters
  2. Hive Mind: Semantic indexing for search
  3. Codex: Extracted truths and insights

See data/import/README.md for detailed documentation and examples.

Specification

See .kiro/specs/memory-system/ for complete specification:

  • requirements.md - Functional requirements
  • design.md - Technical design
  • tasks.md - Implementation tasks

License

MIT

来源:README.md,提交 e43bf63

工具

3

search_businesses

Search the ANOTS directory for businesses whose AI agent can answer a question or need. Returns matching businesses with their slug, name, what they do, and agent-card URL. Use this first to discover which agents to ask.

输入参数limitquery必填

ask_business

Ask a specific business's ANOTS agent a question, by slug. The agent answers from that business's own knowledge base and tools (live data, not scraped HTML). Get the slug from search_businesses.

输入参数slug必填question必填

find_and_ask

Discover the most relevant ANOTS businesses for a need AND ask each one in a single step, returning their answers side by side. The fastest way to answer a purchase-intent or research question across the directory.

输入参数limitquery必填

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

    请在仓库或注册中心条目中声明许可证。

其他 Anots 集成