Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/putervision/state-memory-mcp{
"mcpServers": {
"state-memory-mcp": {
"command": "node",
"args": ["/path/to/state-memory-mcp/dist/index.js"]
}
}
}MCP Servers overview
# @putervision/state-memory-mcp
[](https://www.npmjs.com/package/@putervision/state-memory-mcp)
[](./CHANGELOG.md)
[](https://www.npmjs.com/package/@putervision/state-memory-mcp)
[](https://github.com/putervision/state-memory-mcp/actions/workflows/ci.yml)
[](https://nodejs.org)
[](https://www.typescriptlang.org)
[](https://statememorymcp.com)
[](https://github.com/putervision/state-memory-mcp/blob/main/LICENSE)
`@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](https://statememorymcp.com)
---
## ⚡ Quick Start & Installation
> **Prerequisites**: Node.js **>= 18.18.0**
```bash
# 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
```bash
# 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-mcp`](https://github.com/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), `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](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/`](docs/) directory:
| Guide | Description |
| :--- | :--- |
| 🏗️ **[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")
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
```bash
# 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](https://putervision.com). Released under the [MIT License](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.What people ask about state-memory-mcp
What is putervision/state-memory-mcp?
+
putervision/state-memory-mcp is mcp servers for the Claude AI ecosystem. Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development. It has 88 GitHub stars and its last recorded update is dated 2026-09-15.
How do I install state-memory-mcp?
+
You can install state-memory-mcp by cloning the repository (https://github.com/putervision/state-memory-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is putervision/state-memory-mcp safe to use?
+
Our security agent has analyzed putervision/state-memory-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains putervision/state-memory-mcp?
+
putervision/state-memory-mcp is maintained by putervision. The last recorded GitHub activity is dated 2026-09-15, with 0 open issues.
Are there alternatives to state-memory-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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