Persistent Knowledge Graph Memory
Local persistent knowledge graph allowing Antigravity agents to remember architectural decisions, user preferences, and project rules across chats.
Genuine Editorial Review & Analysis
Persistent Knowledge Graph Memory is an official/verified Model Context Protocol (MCP) server maintained by Model Context Protocol Official. It equips AI agents—including Google Antigravity and Claude Code—with real-time access to memory & reasoning capabilities through structured tools and resources. Tested with standard stdio transport for zero-latency execution.
Core Capabilities & Production Workflows:
Underlying Architecture & Intelligence Layer:
MCP Server Runtime & Agent Configuration
Engineered for Google Antigravity, Claude Code, and Cursor autonomous agent hosts.
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}~/Library/Application Support/Claude/~/.gemini/antigravity/mcp/Pros & Limitations Analysis
- ✓Native Model Context Protocol (MCP) compliance (stdio transport)
- ✓Verified for Google Antigravity, Claude Code, and Cursor AI agents
- ✓Strict tool parameter validation and zero-dependency execution
- ✓Open source runtime with transparent security and auditability
- ✕Requires an MCP-compatible client host (Antigravity, Claude Desktop, Cursor)
- ✕Requires local Node.js or Docker runtime
2026 Technical Benchmark & Capability Index
Empirical evaluation across 5 standardized performance vectors.
2026 Pricing Plans & Commercial Tiers
Transparent overview of standard subscription tiers and entry costs.
Full access to core features with daily or monthly usage allowances.
- Community support access
- Standard context window
- Web app access
Expanded compute limits, priority latency queue, and collaborative team workspaces.
- High-priority compute queue
- Maximum context retention
- API & workflow export options
Dedicated infrastructure, security isolation, custom models, and enterprise SLAs.
- SSO / SAML & audit logging
- Dedicated account architect
- 99.9% uptime SLA guarantee
How to Get Started with Persistent Knowledge Graph Memory in 3 Steps
Recommended setup sequence for seamless production onboarding.
Provision Account
Access the official platform via Stack AI Tools to activate the latest 2026 pricing tier or trial benefits.
Connect Your Workflow
Integrate your relevant project repositories, workspace docs, API credentials, or media assets into Persistent Knowledge Graph Memory.
Scale Production
Execute production tasks, benchmark output consistency against team standards, and automate recurring steps.
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Frequently Asked Questions About Persistent Knowledge Graph Memory
Is Persistent Knowledge Graph Memory free to use?
Persistent Knowledge Graph Memory operates on a Open Source pricing model with starting prices around Free (Open Source). Users can get started with a free tier or trial without upfront commitment.
How much does Persistent Knowledge Graph Memory cost in 2026?
Pricing for Persistent Knowledge Graph Memory starts at Free (Open Source). Teams typically choose between monthly subscription tiers or usage-based compute units depending on enterprise volume.
What are the best alternatives to Persistent Knowledge Graph Memory?
Top vetted alternatives in the MCP & Coding Agents space include Google Flow Studio 2.0, Google Stitch Design System, Google Analytics 4 (GA4) Telemetry. Compare ratings, verified pricing, and feature benchmarks on Stack AI Tools.
What is Persistent Knowledge Graph Memory best used for?
Persistent Knowledge Graph Memory is ideally suited for Engineers building autonomous AI agents with Memory & Reasoning tool integration. Key strengths include Persistent cross-session entity extraction and Relational knowledge graph storage.
How does Persistent Knowledge Graph Memory handle data privacy, telemetry, and enterprise security?
Persistent Knowledge Graph Memory implements modern security controls including end-to-end TLS encryption, scoped API token authentication, and role-based access. Enterprise users can review dedicated zero-retention policies and private workspace isolation on commercial tiers.
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