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State Memory MCP

by putervisionversion 1.4.1i★ –iRuns on your computer
Registry nameio.github.putervision/state-memory-mcp

Install

Overview

Description from the maker (original English)

Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "state-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@putervision/state-memory-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add state-memory -- npx -y @putervision/state-memory-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "state-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@putervision/state-memory-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "state-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@putervision/state-memory-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account putervision, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7256 servers in this category
  • Published to the registry more recently than 53% of the other 7256 servers in this category
  • Basic checks equal to or better than 100% of the other 7256 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is State Memory MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.4.1) reached the registry 34 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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 TaskSlice extraction 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-mcp for 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-1KB compact_slice), use_blackboard (multi-agent asynchronous topic board).

👉 For complete parameter specifications, return schemas, and example payloads, see the [Tools Reference Guide](docs/tools-reference.md) and [Formal API Reference](docs/api-reference.md).


🚀 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:

GuideDescription
🏗️ [Architecture & Codebase Distillation](docs/codebase-distillation.md)High-signal architectural overview, module inventory, data flows, and design decisions.
🚀 [v0.10 → v1.0 Migration Guide](MIGRATION.md)Step-by-step migration guide, legacy tool mapping table, and STATE_MEMORY_COMPAT mode.
💡 [Value Proposition & Theory](docs/value-proposition.md)Cognitive Externalization, FSM Formalism, First-Hop Determinism & Benchmark metrics.
📋 [State Memory Concepts](docs/concepts.md)Node Types (task, decision, blocker...), Status Values, Typed Edges & Seeding Guidelines.
⚙️ [Configuration & IDE Setup](docs/configuration.md)Auto-Initialization details, Environment Variables table, and Editor Configs (Cursor, VS Code, Claude, Antigravity, Windsurf).
🛠️ [CLI Command Reference](docs/cli-usage.md)CLI flags (init, run, view, inspect, metrics, audit, doctor, backup, restore, merge) & Git Scanner.
⏱️ [Sessions, Snapshots & SDD](docs/session-management.md)Session Lifecycle, Event Audit Trail, Snapshots, Trajectories, Sub-directory support & Spec-Driven Development.
🧰 [Tools, Resources & Prompts](docs/tools-reference.md)Complete reference for all 13 Consolidated MCP Tools, read-only state-memory:/// Resources, and Prompt templates.
📘 [Formal API Reference](docs/api-reference.md)Formal parameters, return schemas, and code signatures for all MCP endpoints.
🎨 [3D Visualizer Guide](docs/visualizer.md)Viewing and exporting the interactive WebGL 3D Force-Directed Graph visualizer.
🗄️ [Database Schema](docs/database-schema.md)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")
  1. Task Selection ──▶ manage_tasks(action: "next") + manage_tasks(action: "find_blockers")
  2. Trace Context ──▶ query_graph(action: "trace") + manage_specs(action: "compliance")
  3. Execute & Record ──▶ manage_nodes(action: "create", type: "decision") + manage_edges(action: "link_visual")
  4. 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.
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