mcp-memory-service v11.5 — 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.

Try the Live Demo Codeberg PyPI Package

Interactive 3D knowledge graph — every memory a glowing node, every relationship a curved edge.

What's New in v11.5

MINOR release: conditional temporal decay, a functional belief derivation pipeline, a consolidation clustering fix, and bootstrap belief injection with task-aware retrieval. ~2,647 tests.

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Conditional Temporal Decay

Opt-in temporal decay for search relevance via MEMORY_DECAY_WINDOW_DAYS (default 0 = disabled, zero behavior change for existing users). When enabled, recent memories rank above older ones with equivalent similarity. (#123, @filhocf)

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Functional Belief Derivation

Semantic grouping plus a noise filter make derive_beliefs actually work — the prior exact-content-equality grouping produced zero belief promotions ever on real data. Consolidation clustering also gets an embeddings fix restoring clusters and associations on real databases. (#124, #126, @filhocf)

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Bootstrap Belief Injection

The bootstrap profile now injects derived beliefs and supports task-aware retrieval via new task_summary and budget_tokens params on get_bootstrap_profile. Belief derivation is gated behind MCP_BELIEFS_ENABLED (default false). (#127, @filhocf)

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

In the Media

Talks and coverage from the community.

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