recall-mcp
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Alternatives to 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.4-

memiofficial
AlicenseNot gradedqualityBmaintenanceGives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.01Apache 2.0- 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.18 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
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.