Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.
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Scored across 8 tools
Most tools have distinct purposes, but 'query_knowledge' and 'search_knowledge' could cause confusion as both involve searching knowledge, though their descriptions clarify that one uses AI and the other uses keyword matching. Other tools like 'add_knowledge', 'get_topic', and 'list_topics' are clearly differentiated.
All tool names follow a consistent verb_noun pattern with snake_case, such as 'add_knowledge', 'capture_session', 'get_topic', 'list_sessions', 'list_topics', 'query_knowledge', 'recall_memory', and 'search_knowledge'. This uniformity makes the tool set predictable and easy to understand.
With 8 tools, the count is well-scoped for a knowledge and memory management server. It covers core operations like adding, retrieving, listing, and searching knowledge and sessions, without being overly complex or too sparse for the domain.
The tool set provides good coverage for knowledge base and session memory management, including CRUD-like operations (add, get, list, search). A minor gap is the lack of update or delete tools for knowledge or sessions, which agents might need to work around, but core workflows are supported.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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