About State Memory MCP
State Memory MCP is a deterministic MCP server that gives AI coding assistants such as Cursor and Claude Code a persistent SQLite graph of tasks, decisions, artifacts and blockers. It needs no extra infrastructure, and all data stays in the workspace's .state-memory-mcp/ directory.
Key features
- 01SQLite graph of tasks, decisions and blockers
- 02Dependency-ordered task queue with blocker detection
- 03FTS5 search and session context bootstrap
- 04SHA-256 tamper-evident event ledger
- 05Browser-based 3D graph visualizer
Use cases
- 01Keeping task progress and decisions across coding sessions
- 02Finding unblocked tasks and the reasons others are blocked
- 03Sharing state between multiple agents through a common board
MCP support
This project is an MCP server that exposes 13 consolidated tools, including manage_nodes, manage_tasks and query_graph, to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
13Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| id | string | No | Unique node identifier for get, update, or remove. |
| ids | array | No | Array of node IDs for batch_update. |
| tags | array | No | Array of searchable tags. |
| text | string | No | Text note content for add_note. |
| type | enum | No | The type classification of the node.task | decision | artifact | plan | milestone | blocker | observation | spec | requirement | acceptance_criterion | visual_state |
| limit | number | No | Maximum number of items to return (1-1000). |
| nodes | array | No | Array of node payloads for batch_create. |
| query | string | No | Search term for full-text search. |
| title | string | No | Title or label of the node. |
| action | enum | Yes | The node management action to execute: create, update, get, remove, list, search, batch_create, batch_update, add_note.create | update | get | remove | list | search | batch_create | batch_update | add_note |
| offset | number | No | Number of items to skip for pagination. |
| status | string | No | Status of the node (e.g. pending, in_progress, done, blocked, active, accepted, current). |
| compact | boolean | No | Whether to return a lightweight compact summary. |
| project | string | No | Target project name or slug. |
| metadata | object | No | Arbitrary structured key-value metadata. |
| algorithm | enum | No | Search algorithm for search action.fts5 | tfidf | hybrid |
| attach_to | string | No | Node ID to attach observation note to via references edge. |
| git_branch | string | No | Git branch filter. |
| session_id | string | No | Active session identifier for change attribution. |
| include_edges | boolean | No | Whether to include inbound/outbound edges on get. |
| expected_version | number | No | Optimistic concurrency version check for update. |
Details
From the project README@putervision/state-memory-mcp
@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
⚡ Quick Start & Installation
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.
Alternative Options
# Run directly via binary (after global install)
state-memory-mcp run
# Re-initialize across all registered workspace projects
state-memory-mcp init-global
🌟 Key Highlights
- 🧠 Deterministic State Memory & Compact TaskSlices: Zero LLM in the loop for memory operations; fast, deterministic SQLite graph traversals, and sub-1KB
TaskSliceextraction for System 1 fast path evaluation. - ⚡ 13 Production-Grade Consolidated MCP Tools: Full CRUD, relationship linking, DAG cycle checks, FTS5 search, TF-IDF RAG, time-travel history rollback, Spec-Driven Development, and auto-healing validation.
- 📉 Efficient Context Management & Decision Thresholding: Offloads context to a local SQLite database, filters sub-0.70 routine decisions to append-only event logs to prevent graph bloat, and preserves high-significance turns.
- 🚀 67%–74% Latency Reduction: Eliminates multi-step file scanning loops; agents retrieve unblocked tasks and blockers in milliseconds.
- 🤝 Multi-Agent Blackboard: Shared Context Store allowing parallel subagents to publish decisions, tasks, and blocker updates safely.
- 🎨 Interactive 3D Visualizer: Browser-based dark-mode 3D WebGL force-directed graph visualizer (
state-memory-mcp view). - 🔗 Dual-MCP Synergy: Pair with
@putervision/vision-memory-mcpfor visual state caching, perceptual hashing, and cryptographic multimodal evidence packs. - 🛡️ 100% Local & Private: Local-first architecture; all state stays inside
.state-memory-mcp/in your workspace.
🛠️ MCP Tool Suite
@putervision/state-memory-mcp provides 13 production-grade consolidated MCP tools organized across 5 core workflow domains:
- Graph & Relationships:
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). - Task Execution & Work Queue:
manage_tasks(topological dependency queue, blocker detection, task completion with artifacts, auto-prune),manage_sessions(agent attribution, turn tracking, context bootstrap). - Spec-Driven Development (SDD):
manage_specs(PRD/RFC parsing, requirement-to-task decomposition, live acceptance criteria verification, compliance scoring). - Analytics, Audit & Diagnostics:
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). - Data, Snapshots & Multi-Agent:
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-1KBcompact_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.
🚀 Architecture & State Graph Lifecycle
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
└─────────────────────────────────┘
📚 Documentation Directory
Explore dedicated guides and deep dives in the docs/ directory:
| Guide | Description |
|---|---|
| 🏗️ Architecture & Codebase Distillation | High-signal architectural overview, module inventory, data flows, and design decisions. |
| 🚀 v0.10 → v1.0 Migration Guide | Step-by-step migration guide, legacy tool mapping table, and STATE_MEMORY_COMPAT mode. |
| 💡 Value Proposition & Theory | Cognitive Externalization, FSM Formalism, First-Hop Determinism & Benchmark metrics. |
| 📋 State Memory Concepts | Node Types (task, decision, blocker...), Status Values, Typed Edges & Seeding Guidelines. |
| ⚙️ Configuration & IDE Setup | Auto-Initialization details, Environment Variables table, and Editor Configs (Cursor, VS Code, Claude, Antigravity, Windsurf). |
| 🛠️ CLI Command Reference | CLI flags (init, run, view, inspect, metrics, audit, doctor, backup, restore, merge) & Git Scanner. |
| ⏱️ Sessions, Snapshots & SDD | Session Lifecycle, Event Audit Trail, Snapshots, Trajectories, Sub-directory support & Spec-Driven Development. |
| 🧰 Tools, Resources & Prompts | Complete reference for all 13 Consolidated MCP Tools, read-only state-memory:/// Resources, and Prompt templates. |
| 📘 Formal API Reference | Formal parameters, return schemas, and code signatures for all MCP endpoints. |
| 🎨 3D Visualizer Guide | Viewing and exporting the interactive WebGL 3D Force-Directed Graph visualizer. |
| 🗄️ Database Schema | SQLite tables, columns, indexes, and schema migration history. |
📖 Agent Playbook: 5-Step Canonical Workflow
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")
🧪 Testing
# Run full unit, integration, and performance benchmark test suite across all 113 test files (418 tests)
npm run test
⚖️ License & Disclaimers
Developed and maintained by PuterVision. Released under the MIT License.
- Local Storage Guarantee: All graph data, decision records, and event logs remain 100% local in your workspace. No telemetry or project data is ever transmitted.
- Trademarks & Non-Affiliation: Product names (Cursor, Claude Code, Gemini, Windsurf, VS Code, GitHub, SQLite) are property of their respective owners and used solely for compatibility identification.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.