State Memory MCP

# 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

- 🧠 Deterministic State Memory: Zero LLM in the loop for memory operations; fast, deterministic SQLite graph traversals.
- ⚡ 82 Core 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).
- 🛡️ 100% Local & Private: Local-first architecture; all state stays inside.state-memory-mcp/in your workspace.

# Run full unit, integration, and performance benchmark test suite npm run test

- 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.

Local-first agent memory: a plain-Markdown Obsidian vault is the source of truth, with a rebuildable DuckDB index for hybrid BM25 + vector + graph recall.

Persistent memory and semantic search for AI coding assistants across sessions

Give your agent a memory: shared, cited, tenant-isolated knowledge-graph memory for any MCP host. Grounded answers from a local-first June endpoint — abstains rather than guesses.

Decentralized persistent memory for AI agents — encrypted vault storage built on Walrus and Sui.

Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.

Your portable AI memory vault — memories, skills & configs, shared across every AI tool.

Local Work Model for AI agents that learns from real outcomes.

Adaptive MCP memory system for AI applications. Learns which retrieval strategies work for your data, scores results using cognitive science models, builds a knowledge graph automatically, and validates every parameter change against real query history before adopting it. Patent pending.

Auditable, self-improving knowledge & memory for AI agents over MCP — citation-enforced answers and a replayable why-trace, self-hosted on Postgres.