Daemon-MCP
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Alternatives to Daemon-MCP
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Related Servers
- AlicenseNot gradedqualityAmaintenanceGives Claude Code persistent memory across sessions, detecting and classifying user corrections, and evolving behavioral frameworks from accumulated evidence. Exposes 15 MCP tools for semantic memory search, signal recording, self-evaluation, and reflection cycles that run locally alongside automatic hooks.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceGives Claude Code persistent cross-session memory with semantic search, automatic detection and classification of user corrections, and evolving behavioral frameworks that develop over time. Runs fully locally through Claude Code's hooks and 15 MCP tools, requiring no API key or cloud service.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables persistent cross-session memory, correction-pattern tracking, and evolving behavioral frameworks within Claude Code, exposing 15 MCP tools for saving and semantically searching facts, decisions, and lessons, loading identity and framework context, and triggering reflection cycles so the assistant improves over time.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceGives Claude Code persistent cross-session memory with semantic search, automatic detection and classification of user corrections into behavioral patterns, and self-evolving frameworks that refine judgment over time. Everything runs locally through hooks and MCP tools, with no cloud, API keys, or telemetry.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceGives Claude Code persistent cross-session memory with semantic search over facts, decisions, and lessons, plus automatic tracking of user corrections and behavioral patterns. Enables a Claude that evolves reusable frameworks over time — promoting what works and retiring what doesn't — all locally through MCP tools and hooks.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude Code to persist identity, memory, and behavioral patterns across sessions through an MCP server with 15 tools, providing semantic memory search, automatic correction tracking, and evolving frameworks. It lets users recall past decisions, monitor recurring mistakes with trend analysis, and let judgment develop over time — all locally with no cloud dependency.6 npmMIT
TDQS
Scored across 11 tools
Each tool targets a distinct operational domain (memory, rules, code, decisions, housekeeping), with only minor overlap between explore and consult in retrieval contexts. Descriptions are clear enough to differentiate them.
Tool names mix single verbs (reflect, explore, commune) with compound forms (simulate_decision, evolve_rule, debate_internal). This inconsistent pattern makes it harder to predict tool function from name alone.
11 tools is well within the ideal 3-15 range, and each tool bundles a coherent set of sub-operations that justifies its presence. The count feels appropriate for the server's broad scope.
The surface covers memory, rules, code comprehension, decision analysis, session management, and housekeeping. Minor gaps include lack of explicit rule deletion and some overlapping retrieval methods, but these do not significantly hinder agent workflows.