mcp-memory-service v10.62 — 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 v10.62

Native Milvus search_memories with server-side filter pushdown, hooks JSONL transcript fix, and dep updates. ~1,968 tests.

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Native Milvus Search with Filter Pushdown

Milvus backend now overrides search_memories, retrieve_with_quality_boost, and recall_memory. Filters (tag, type, date) are pushed to the Milvus server inside the ANN call — no more N round-trip fallbacks to the base class. Completes the medium-priority method set from issue #888.

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Hooks JSONL Transcript Parsing

Claude Code transcript format changed to JSONL with a message wrapper. The auto-capture hook now correctly unwraps each line before extracting tool calls, restoring transcript-based memory capture for current Claude Code versions.

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Quality-Boosted Retrieval

retrieve_with_quality_boost re-ranks results by blending embedding similarity with stored quality scores server-side. recall_memory adds temporal recency weighting. Both use Milvus native ANN search for full performance.

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