AgentRecall
Related Servers
Alternatives to AgentRecall
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server that gives AI agents persistent long-term memory, storing and recalling facts, decisions, errors, procedures, and episodes across sessions.24 npm3Apache 2.0
- AlicenseNot gradedqualityCmaintenanceMCP server that provides AI agents with persistent memory, cross-agent sharing, and context management, enabling them to remember conversations, track complex tasks, and evolve skills across tools.2MIT
- AlicenseAqualityCmaintenanceMCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.97 npmMIT
- AlicenseAqualityDmaintenanceMCP server for persistent, semantic memory across AI sessions; store context, decisions, and learnings and recall them with natural language search.227 npmMIT
- AlicenseAqualityCmaintenanceMCP server for long-term agent memory, providing persistent memory, searchable knowledge, and evolving identity for AI agents.53Apache 2.0
- FlicenseNot gradedqualityCmaintenanceMCP server that gives AI agents and teams persistent, shared memory using a knowledge graph with vector embeddings, automatic consolidation of related facts, and hybrid search.3-
TDQS
Scored across 5 tools
Tools map to distinct memory lifecycle phases, and descriptions provide explicit trigger conditions. However, `check` overlaps with both `recall` (retrieval) and `remember` (recording), which could cause occasional misselection despite detailed guidance.
Names are all lowercase snake_case, but the pattern is mixed: `check`, `recall`, and `remember` are bare verbs, while `session_start` and `session_end` use a noun_verb structure. Still readable, but not a uniform convention.
5 tools is well-scoped for a memory system, covering entry, retrieval, validation, recording, and exit without redundancy or bloat.
The lifecycle covers start, recall, remember, check, and end, but lacks an explicit delete/forget operation or a way to update existing memories (beyond corrections via `check`). Minor gap agents can work around.