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license-
qualityD
maintenanceA stateful gateway server for AI applications that solves the memory limitations of Large Language Models by maintaining separate conversation contexts for each user.
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"Firecrawl MCP (Model Context Protocol) Integration" matching MCP servers:
- AlicenseBqualityCmaintenanceAn MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.Last updated128089MIT
- Alicense-qualityAmaintenanceA lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.Last updatedMIT
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- AlicenseAqualityAmaintenanceAn MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.Last updated201,402MIT
- AlicenseAqualityDmaintenanceProvides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.Last updated95MIT
- AlicenseBqualityAmaintenanceTemporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.Last updated3122MIT
- AlicenseBqualityDmaintenanceA comprehensive MCP server for managing AI-assisted Dungeons & Dragons campaigns, featuring tools for character sheets, combat tracking, and world-building. It enables players and DMs to interact with 5e game mechanics and query personal PDF rulebooks using RAG capabilities.Last updated972MIT
- Alicense-qualityDmaintenanceImplements the Model Context Protocol to retrieve context from a locally running Llama model, enabling AI applications to query and receive relevant information.Last updated4MIT
- -license-quality-maintenanceAn enhanced memory management system that wraps memento-mcp with sophisticated features including protocol enforcement, quality scoring, hybrid search strategies, and synthesis reports. Enables intelligent memory storage, retrieval, and analysis with automatic archival and confidence tracking.Last updated
- AlicenseAqualityAmaintenanceAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.Last updated1119,30019,639Elastic 2.0
- AlicenseAqualityAmaintenanceMulti-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.Last updated10MIT
- AlicenseAqualityAmaintenanceLocal-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.Last updated303Apache 2.0
- AlicenseAqualityCmaintenanceA reusable MCP server providing shared, versioned context across AI agents and devices via a private GitHub workspace, with tools to discover projects, bootstrap, query, and close out task state.Last updated4MIT
- AlicenseAqualityAmaintenanceDurable project-memory MCP: decisions, constraints, and pipelines across Claude sessionsLast updated141MIT
- AlicenseAqualityDmaintenanceLong AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inpLast updated81MIT
- AlicenseAqualityDmaintenanceIntelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.Last updated9MIT
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- AlicenseAqualityBmaintenanceProvides persistent tool context that survives across Claude Desktop chat sessions, automatically injecting tool-specific rules, syntax preferences, and best practices. Eliminates the need to re-establish context in each new conversation.Last updated1031Apache 2.0