structured-memory-mcp
Related Servers
Alternatives to structured-memory-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables Claude and other AI agents to store decisions, patterns, and knowledge once and retrieve relevant context automatically across sessions, surviving context limits, restarts, and compaction.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to persistently store and retrieve decisions, patterns, and knowledge across sessions, with workspace organization and semantic search so context survives restarts and compaction.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude and other AI agents to persistently store, retrieve, and organize decisions, patterns, and knowledge across sessions, so context survives restarts and compaction.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude and other AI agents to persistently store and retrieve decisions, patterns, and knowledge across sessions, surviving context limits, restarts, and compaction.6 npmMIT
- AlicenseAqualityCmaintenanceProvides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.151MIT
- AlicenseNot gradedqualityAmaintenanceProvides AI agents a shared long-term memory layer with evidence-backed, auditable claims, enabling persistent, explainable, and conflict-aware recall across sessions.175 PyPI7MIT
TDQS
Scored across 20 tools
Most tools target distinct resources and actions, but read_memory and search_memory overlap heavily (both hybrid search the trail), and write_memory vs write_wiki could be confused about where durable information belongs. The detailed descriptions help, but the boundaries are not perfectly crisp.
All tool names use snake_case with a consistent verb_noun pattern (load_wiki, retire_constraint, write_memory, list_constraints, track_thread, etc.). The convention is predictable throughout with no mixed styles.
20 tools is heavy for a single MCP server and sits in the borderline range. While each tool covers a distinct facet (memory, wiki, constraints, threads, friction, records, session state), the surface could likely be consolidated to reduce selection overhead.
The server covers core lifecycle operations across its subdomains: memory read/write/search/walk, wiki load/write/list, constraints list/set/retire, threads list/track/touch, friction log/list/triage, and records log/list. Missing hard delete/update for memories, records, and wiki pages may be intentional by design, but still leaves minor gaps.