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Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Tool DescriptionsB

Average 3.3/5 across 82 of 82 tools scored. Lowest: 2.6/5.

Server CoherenceB
Disambiguation2/5

The tool set has significant overlap and ambiguity, particularly in memory and context management. For example, 'agent_memory_store', 'remember', and 'observe' all handle memory storage with unclear distinctions, while 'assemble_context' and 'session_start' both assemble context but with different approaches. This overlap makes it difficult for an agent to reliably choose the correct tool without deep domain knowledge.

Naming Consistency4/5

Most tools follow a consistent verb_noun or noun_verb pattern (e.g., 'agent_create', 'memory_export', 'privacy_check_access'), with clear prefixes like 'agent_', 'memory_', 'skill_' for grouping. However, there are minor deviations such as 'link', 'observe', 'recall', and 'whoami' that break this pattern, slightly reducing overall consistency.

Tool Count2/5

With 82 tools, the count is excessive for a memory management server, leading to bloat and potential confusion. Many tools could be consolidated (e.g., multiple memory storage and context assembly tools) or omitted without losing functionality. This large number overwhelms the core purpose and suggests poor scoping.

Completeness5/5

The tool set provides comprehensive coverage for agent memory management, including creation, updating, deletion, benchmarking, dreaming, privacy, skills, and context assembly. It supports full CRUD operations across agents, memories, goals, and other entities, with no apparent gaps in the domain's lifecycle or workflows.

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