com.anots/directory
Discover and query every business on ANOTS — search, ask, or find-and-ask over MCP.
Open source Repository Open in the app JSON README (API)
About
Discover and query every business on ANOTS — search, ask, or find-and-ask over MCP.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- com.anots
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.0
- Last push
- 2026-04-02T09:02:50Z
- Repository state
- ativo
- Language
- TypeScript
- Added
- 2026-08-29 03:00:59
- Updated
- 2026-08-29 03:00:59
- Origin id
com.anots/directory
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 dependencies npm install --legacy-peer-deps # Pull Qwen 3.5 9B model ollama pull qwen2.5:9b-instruct-q4_K_M # Pull embedding model ollama 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 Redis docker run -d --name redis -p 6379:6379 redis # Build and install globally npm run build npm install -g . --legacy-peer-deps ``` ### CLI Usage ```bash # Interactive main menu anots # 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 server anots api:start # Start API with Axiom chat endpoint anots api:start --axiom # Search memory anots memory:search "your query" # Import conversation (JSON/Markdown) anots import conversation.json --type general # System status anots status # Configuration wizard anots setup # Show all commands anots --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 Qdrant curl http://localhost:6333/health # Check Redis redis-cli ping # Check Ollama ollama list ``` ### Development ```bash # Build npm run build # Run tests npm test # Run tests with coverage npm run test:coverage # Lint npm run lint # Format code npm run format ``` ## Importing Conversations Import large conversation files into the ANOTS memory system: ```bash # Import Ubik conversation npm run import -- data/import/conversation.json --type ubik # Import Axiom conversation npm 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