pasm-mcp-server
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Alternatives to pasm-mcp-server
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- AlicenseNot gradedqualityCmaintenanceProvides persistent, cloud-based memory for AI agents, letting them remember preferences, skills, and decisions across sessions via an MCP-compatible interface.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceProvides a selective persistent memory layer for AI companions, enabling structured recall, reinforcement, and time-decayed retrieval through an MCP interface.14 npm1MIT
- AlicenseNot gradedqualityAmaintenanceProvides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.1,822 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to maintain a persistent identity and structured memory—including reasoning patterns, episodic history, and knowledge—while exposing procedures for managing that memory over MCP.Apache 2.0
- AlicenseAqualityFmaintenanceProvides persistent personal context (identity, projects, decisions, knowledge) to MCP-compatible AI tools, eliminating the need to re-explain yourself across sessions.251 npm1MIT
- AlicenseNot gradedqualityBmaintenanceProvides AI clients with a persistent, readable and writable long-term memory layer over MCP, enabling creation, retrieval, tagging, updating, and deletion of memories across sessions.49 npmMIT
TDQS
Scored across 13 tools
Most tools map to distinct cognitive operations, and descriptions include explicit usage guidance (e.g., pasm_semantic as a fallback to pasm_recall). However, pasm_context, pasm_recall, and pasm_semantic all surface memory-related content, so an agent must read closely to pick the right retrieval entry point.
All tools share a consistent pasm_ prefix and snake_case, but the second part mixes verbs (recall, observe, feel, act) with nouns/adjectives (context, semantic, persona, status), so it is not a uniform verb_noun pattern. Still predictable and readable.
13 tools is within the ideal 3-15 range; each tool addresses a distinct aspect of the PASM cognitive loop: context, memory retrieval/writing, emotion, action, feedback, persona, status, and persistence.
The set covers the main read/write lifecycle for memories, emotion, persona, actions, and persistence. The obvious gap is no explicit memory update/delete/forget tool, though consolidation and salience-based decay partially mitigate this.