@putervision/state-memory-mcp
MCP serverDocs & knowledgeGive your AI a lasting memory of how your work is going. Once added, it tracks workflow state, decisions, and blockers in a connected structure that persists between conversations, so your AI can pick up where you left off and report progress consistently.
Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.
After adding it, tell your AI about your current work, recent decisions, and anything blocking progress. It will remember these and keep them current as you work together.
What your AI can do with it
- Track where your work stands, even across new conversations
- Record decisions as they are made
- Keep an up-to-date list of blockers
- See how decisions, blockers, and work items connect
- Get the same answer every time for the same state of work
From the project's README
As published by putervision/state-memory-mcp in README.md.
@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: Zero LLM in the loop for memory operations; fast, deterministic SQLite graph traversals.
- ⚡ 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: Offloads context to a local SQLite database, helping reduce prompt context bloat and context window usage.
- 🚀 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),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),query_graph(subgraphs, dependency tracing, raw SQL),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.
Signals
- GitHub stars
- 82
- Forks
- 1
- Last commit
- Sep 2026
Advanced
- Delivery
- state-memory-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-putervision-state-memory-mcp- Source
- github.com/putervision/state-memory-mcp