State Memory MCP
io.github.putervisionPublished by GitHub account putervisionv1.4.1Updated Oct 24, 2026
Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
The publisher's own server: Memory.fit
Overview
Local SQLite workflow-graph server that lets an AI coding assistant track tasks, decisions, blockers, specs and their relationships across sessions.
- What you can do
- Create, update and search graph nodes such as tasks, decisions, blockers and artifacts, and link them with typed edges.
- Work a dependency-ordered task queue, detect blockers, complete tasks with artifacts and manage agent sessions.
- Parse specs into requirements and tasks, check acceptance criteria and score compliance.
- Query subgraphs, trace dependencies, run raw SQL and pull compact context slices.
- Read analytics, audit events, snapshots and backups, and coordinate parallel agents on a shared blackboard.
- When to use it
- Useful for long or multi-session coding work where an assistant should remember plans, decisions and open blockers instead of rescanning files. Also fits spec-driven development and parallel subagents that need a shared, local state store.
- Requirements
- Runs as a local stdio process on the desktop; Node.js 18.18.0 or newer and the npm package installed globally. Initialization writes a .state-memory-mcp/ directory into the project and scaffolds IDE and MCP configs. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open State Memory MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
@putervision/state-memory-mcp
[npm version] [version] [npm downloads] [CI] [Node] [TypeScript] [Website] [License: MIT]
@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
Alternative Options
🌟 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
📚 Documentation Directory
Explore dedicated guides and deep dives in the docs/ directory:
📖 Agent Playbook: 5-Step Canonical Workflow
When an autonomous AI agent enters a repository with state-memory-mcp:
🧪 Testing
⚖️ 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.
Source: README.md at commit 0f60ae4
Tools
0Version history
5- v1.4.1LatestOct 3, 2026
- v1.4.0Oct 2, 2026
- v1.3.1Sep 29, 2026
- v1.3.0Sep 26, 2026
- v1.2.1Sep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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