Side-by-Side Model Context Protocol Comparison
Engram vs Agentram Mcp
In-depth architectural comparison of the Engram and Agentram Mcp MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Engram
Knowledge & Memory · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Agentram Mcp
Knowledge & Memory · Local stdio
Quality: 51/100 (Good) | Auth: No auth required
Verdict Summary: Choose Engram if you need specialized Knowledge & Memory tools running via a local process. Choose Agentram Mcp if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
Choose Engram when:
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: engram_remember, engram_recall, engram_forget.
Choose Agentram Mcp when:
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: Personal memory storage with agent ID and key, Shared namespaces for multi-agent memory collaboration, Text-based search across keys and values without embeddings.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Engram Tools (6)
engram_remember
Store a memory with category, entity, confidence, namespace, tags. Auto-runs secret detection.
engram_recall
Hybrid semantic + FTS5 search. Supports `category`, `namespace`, `threshold`, and `time_filter`.
engram_forget
Delete a specific memory by ID.
engram_feedback
Vote a memory helpful/unhelpful. Drives the feedback loop above.
engram_context
Pre-formatted context block (`markdown` / `xml` / `json` / `plain`) with a token budget for system-prompt injection.
engram_status
Health check: memory count, model status, configuration.
Agentram Mcp Tools (6)
Personal memory storage with agent ID and key
Shared namespaces for multi-agent memory collaboration
Text-based search across keys and values without embeddings
TTL support for automatic memory expiry
HTTP API with 10 MCP tools mapping to AgentRAM REST endpoints
Integration instructions for Claude Desktop, Cline, and Cursor clients
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Engram Configuration
Agentram Mcp Configuration