Power your agent
Lệnh của chính nhà phát hành. Không phải endpoint của PlugMCP.
Host a copy with our keys and logs.
npx -y @putervision/[email protected]Claude Code không có liên kết cài đặt cho lệnh cục bộ. Sao chép lệnh bên dưới và chạy trong terminal.
claude mcp add putervision-state-memory-mcp -- npx -y @putervision/state-memory-mcp@1.4.1Chạy trong terminal.
{ "mcpServers": { "putervision-state-memory-mcp": { "command": "npx", "args": [ "-y", "@putervision/[email protected]" ] } }}claude_desktop_config.json
URL từ xa hay một lệnh trên máy của bạn? Hai cách cài đặt khác nhau thế nào
Chạy trên PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
Mở@putervision/state-memory-mcp is a zero-infrastructure, deterministic Model Context Protocol (MCP) server that provides AI coding assistants (such as Cursor, Claude Code, Gemini, or Copilot) with a structured, persistent SQLite graph for tracking workflow state—tasks, decisions, artifacts, plans, blockers, and their semantic relationships.
🌐 Official Documentation & Website: statememorymcp.com
Prerequisites: Node.js >= 18.18.0
# 1. Install globally
npm install -g @putervision/state-memory-mcp
# 2. Navigate to your project directory
cd your-project
# 3. Initialize state-memory-mcp
# Creates .state-memory-mcp/, updates .gitignore, registers project,
# and scaffolds IDE instructions and MCP configs for Cursor, Claude, VS Code, Windsurf, etc.
state-memory-mcp init
# Done! Restart your IDE or Agent Manager to activate.
# Run directly via binary (after global install)
state-memory-mcp run
# Re-initialize across all registered workspace projects
state-memory-mcp init-global
TaskSlice extraction for System 1 fast path evaluation.state-memory-mcp view).@putervision/vision-memory-mcp for visual state caching, perceptual hashing, and cryptographic multimodal evidence packs..state-memory-mcp/ in your workspace.@putervision/state-memory-mcp provides 13 production-grade consolidated MCP tools organized across 5 core workflow domains:
manage_nodes (node CRUD, FTS5/TF-IDF vector search, atomic batch mutations, observation notes, thresholded fast decision logging), manage_edges (typed DAG links, multimodal visual state linking).manage_tasks (topological dependency queue, blocker detection, task completion with artifacts, auto-prune), manage_sessions (agent attribution, turn tracking, context bootstrap).manage_specs (PRD/RFC parsing, requirement-to-task decomposition, live acceptance criteria verification, compliance scoring).get_analytics (velocity, burndown, token ROI, cognitive load, critical path), get_events (SHA-256 tamper-evident event ledger), run_diagnostics (DAG validation, health checks, AST reference integrity).manage_snapshots (checkpoints, time-travel undo), manage_database (backups, checksum audits, VCS branch merge), manage_data (bulk import/export, ML trajectories with interleaved fast decision events), query_graph (subgraphs, dependency tracing, raw SQL, sub-1KB compact_slice), use_blackboard (multi-agent asynchronous topic board).👉 For complete parameter specifications, return schemas, and example payloads, see the Tools Reference Guide and Formal API Reference.
AI Agent Prompt / Task
│
▼
┌─────────────────────────────────┐
│ Agent Session Attribution │ ──▶ manage_sessions(action: "start")
└────────────────┬────────────────┘
│
▼
┌─────────────────────────────────┐
│ Context & Task Prioritization │ ──▶ get_analytics(action: "summary")
│ │ ──▶ manage_tasks(action: "next")
└────────────────┬────────────────┘
│
▼
┌─────────────────────────────────┐
│ Deterministic Graph Mutation │ ──▶ manage_nodes(action: "create"|"update")
│ (Tasks, Decisions, Blockers) │ ──▶ manage_edges(action: "add"|"link_visual")
└────────────────┬────────────────┘
│
▼
┌─────────────────────────────────┐
│ Spec & Integrity Verification │ ──▶ manage_specs(action: "compliance"|"verify")
│ │ ──▶ run_diagnostics(action: "validate")
└────────────────┬────────────────┘
│
▼
┌─────────────────────────────────┐
│ Persistent SQLite Storage │ ──▶ .state-memory-mcp/graph.db (WAL mode)
│ Append-Only Event Ledger │ ──▶ SHA-256 Cryptographic Audit Chain
└─────────────────────────────────┘
Explore dedicated guides and deep dives in the docs/ directory:
When an autonomous AI agent enters a repository with state-memory-mcp:
1. Orient & Bootstrap ──▶ manage_sessions(action: "start") + get_analytics(action: "summary")
2. Task Selection ──▶ manage_tasks(action: "next") + manage_tasks(action: "find_blockers")
3. Trace Context ──▶ query_graph(action: "trace") + manage_specs(action: "compliance")
4. Execute & Record ──▶ manage_nodes(action: "create", type: "decision") + manage_edges(action: "link_visual")
5. Validate & Close ──▶ run_diagnostics(action: "validate") + manage_tasks(action: "complete") + manage_sessions(action: "end")
# Run full unit, integration, and performance benchmark test suite across all 113 test files (418 tests)
npm run test
Developed and maintained by PuterVision. Released under the MIT License.
Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.
{ "mcpServers": { "putervision-state-memory-mcp": { "command": "npx", "args": [ "-y", "@putervision/[email protected]" ] } }}Công cụ
Chưa có danh sách công cụ. Máy chủ từ xa sẽ có danh sách sau lần kiểm tra tình trạng đầu tiên.
Câu hỏi thường gặp
Sao chép cấu hình stdio cho Cursor, Claude Desktop, Claude Code hoặc VS Code trên trang này. Cấu hình dùng bản cài đặt của nhà phát hành, không phải proxy của PlugMCP.
Bản ghi này không liệt kê biến môi trường bắt buộc nào.
@putervision/state Memory chạy cục bộ qua stdio.
Kiểm tra lần cuối: 2026-11-09. Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.