mcp-ad4m
Related Servers
Alternatives to mcp-ad4m
No user-submitted related servers found.
Related Servers
AlicenseAqualityAmaintenanceEnables persistent long-term memory for Claude Code across sessions, with tools for storing, searching, and managing facts, knowledge graphs, and procedural lessons.354Apache 2.0- FlicenseNot gradedqualityCmaintenanceEnables Claude to recall and query past conversations through a local knowledge graph and vector index, with tools for searching memory, retrieving related entities, and adding new memories.-
- AlicenseCqualityAmaintenanceStores and recalls Claude Code session content as persistent memory, auto-injects relevant prior decisions and lessons at session start, and exposes 33 MCP tools for memory, knowledge-graph navigation, and cognitive profiling — backed by 41 neuroscience papers and 97.8% R@10 on LongMemEval.406 npm380 PyPI73MIT
- FlicenseNot gradedqualityDmaintenanceProvides persistent semantic memory for Claude Code via local embeddings and six MCP tools, enabling context storage and retrieval across sessions without cloud dependencies.-
- AlicenseNot gradedqualityDmaintenanceEnables Claude to access and manage a persistent, human-readable knowledge graph of neurons, with semantic search, memory consolidation, and local ownership.MIT
- FlicenseAqualityCmaintenanceEnables Claude to maintain persistent memory across conversations using a local knowledge graph with fuzzy search capabilities, allowing it to remember and recall information about users, relationships, and context.9-
TDQS
Scored across 13 tools
Each tool addresses a distinct operation: status, classification, config, perspective CRUD, link query/write/delete, optimization, stats, and relay messaging. No two tools have overlapping purposes; even similar-sounding tools like recall and stats serve different functions (query vs. summary).
Most tools follow the ad4m_ prefix with snake_case, but two tools (relay_read, relay_write) use a relay_ prefix instead. This minor inconsistency is clear and does not cause confusion, but it prevents a perfect score.
13 tools cover the core AD4M operations: agent management, perspective lifecycle, link manipulation, optimization, statistics, and relay messaging. The count feels well-proportioned for the domain, with no obvious bloat or insufficiency.
The set covers essential operations: create, read, list, delete for perspectives and links, plus classification, optimization, stats, and relay. Missing are update operations for perspectives or links, but these may be less critical in an immutable or signed-graph context. Minor gap.