mcp-memory-service v10.56 — Now Available

Memory for AI Agents

Persistent memory for AI agents — REST API, MCP, OAuth, CLI, dashboard. Semantic search, knowledge graph, automatic consolidation. One self-hosted service, every transport.

GitHub PyPI Package

What's New in v10.56

Configurable maintain scan limit and smarter Insight Cards. ~1,902 tests.

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Configurable Maintain Scan Limit

New MCP_MAINTAIN_SCAN_LIMIT env var (default: 2000, set to 0 for unlimited) replaces the hardcoded 500-memory cap in the maintain cycle. Large deployments can now tune or remove the ceiling for entity extraction (Step 5) and insight card generation (Step 6).

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Smarter Insight Card Gap Detection

InsightGenerator._detect_gaps now skips operational metadata tags (conflict:unresolved, automated, __test__, temporary, processed, auto-generated, insight-card) that are not knowledge domains, eliminating false-positive "Decision gap" insight cards.

Entity Extraction and Insight Cards

Built on v10.55: EntityExtractor indexes @mentions, #tags, URLs, and file paths from memory content. InsightGenerator surfaces patterns, trends, and gaps via memory_quality maintain. Opt-in via MCP_INSIGHT_CARDS_ENABLED=true.

How It Works

Claude.ai connects to your memory server through Streamable HTTP with OAuth 2.1 authentication.

Browser
Claude.ai
Transport
Streamable HTTP
Auth
OAuth 2.1 + PKCE
Server
MCP Memory
Storage
Knowledge Graph
Data flow Auth boundary

Built for Production

Battle-tested with comprehensive testing and optimized for performance.

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Tests
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AI Apps Supported
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Read Latency
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Cache Speedup

Get Started in Seconds

Install from PyPI and connect your AI agents to persistent memory.

Click to copy pip install mcp-memory-service