recall-mcp
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- FlicenseNot gradedqualityCmaintenanceProvides persistent memory tools (recall, remember, checkpoint) for AI agents, enabling them to save and restore state across sessions.3-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to store and semantically retrieve durable memories across sessions via MCP or REST, with tools for remembering, recalling, asking, updating, and forgetting memories.5 npmMIT
- AlicenseNot gradedqualityAmaintenanceProvides persistent, shared memory for AI agents by capturing conversations verbatim, distilling facts and summaries, and enabling retrieval through search, timeline, details, and explicit remember tools.MIT
- AlicenseAqualityDmaintenancePersistent memory for AI agents. Store, recall, and share knowledge across sessions with five MCP tools: remember, recall, context, forget, and share. Includes semantic search and agent/user/org scoping.53Apache 2.0
- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.MIT
- AlicenseAqualityDmaintenanceEnables AI agents to store and recall persistent long-term memories across sessions using LanceDB, with semantic search, automatic linking, conflict detection, and maintenance tools.713 npmMIT
TDQS
Scored across 8 tools
Each tool has a distinct purpose: remember stores, recall searches, forget deletes, list_memories enumerates, summarize_session derives memories from conversation, get_stats aggregates statistics, and export/import handle data transfer. No two tools overlap in their core function, making misselection unlikely.
Tool names follow a consistent imperative verb pattern: either bare verbs (remember, recall, forget) or verb_noun pairs (list_memories, summarize_session, get_stats, export_memories, import_memories). The convention is uniform and predictable, with no mixed casing or inconsistent verb styles.
Eight tools is a well-scoped set for a memory management server. Each tool addresses a core need (store, search, delete, list, auto-summarize, stats, export, import) without redundancy or bloat, fitting comfortably in the ideal 3–15 range.
The tool surface covers the full memory lifecycle: creating (remember, summarize_session, import_memories), reading (recall, list_memories, get_stats, export_memories), updating (import_memories with replace/bump), and deleting (forget). No critical operations are missing for managing persisted memories.