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A local-first daemon to unify your AI coding tools. Session tracking and handoffs across Claude Code, Gemini CLI, and Codex. An MCP proxy that discovers tools without flooding context. Task management
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Model and agent tools PyPI Local APACHE-2.0
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Railway HTTP deployment edition of Letta MCP Server - connects AI clients to Letta.ai agents
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Memory and context PyPI Local MIT
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MARM-Systems is a complete protocol and platform—combining an advanced memory backend, modular semantic search, and agent-to-agent coordination with a scientifically structured, community-vetted metho
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Memory and context PyPI Local MIT
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Intelligence Begins with Memory
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Memory and context PyPI Local APACHE-2.0
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Let multibillion $ AI datacenters analyze the program memory for you. Create mods, trainers, security audits, game bots, accelerate RE, or do anything else with any program and game in a fraction of a
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Security PyPI Local MIT
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Java Performance Analysis & Diagnostics - LLM-powered MCP Server for real-time monitoring, memory analysis, thread profiling, and system optimization
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Monitoring and observability PyPI Local MIT
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High-performance Model Context Protocol (MCP) server for KacheDB — in-memory cache & SIMD semantic memory for AI agents
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Memory and context PyPI Local APACHE-2.0-OR-MIT
KM
kg-mcp io.github.hexecu/mcp-neuralmemory 1.6 · 31/100 Memory/Knowledge Graph MCP Server for IDE Assistants - Persistent context and knowledge for AI coding agents
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Coding agent tools PyPI Local MIT
KM
kgn-mcp io.github.baobab00/kgn 1.6 · 31/100 CLI tool for parsing .kgn/.kge files, ingesting them into a PostgreSQL knowledge graph DB, and generating AI agent context packages via subgraph queries
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Databases PyPI Local MIT
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Enhanced MCP server for Kiro memory and task management with AI-powered features
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Memory and context PyPI Local MIT
KM
kontext-mcp io.github.danield137/kontext-mcp 1.6 · 31/100 Portable, provider-agnostic memory on top of Azure Data Explorer (Kusto)
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Cloud platforms PyPI Local MIT
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Layered Memory MCP Server — Extend AI agent memory beyond token limits with a 4-tier knowledge architecture
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Memory and context PyPI Local MIT
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Code-anchored, staleness-aware, git-native memory for coding agents
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Coding agent tools PyPI Local MIT
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Production-ready MCP server bridging Claude and Letta.ai agents
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Memory and context PyPI Local MIT
LM
librarian-mcp io.github.liana-banyan/librarian-mcp-docs 1.6 · 31/100 Pre-curated canonical memory + prose/code provenance for any AI coding client. MCP-native.
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Docs and knowledge bases PyPI Local AGPL-3.0-OR-LATER
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MCP server providing agent capabilities for LM Studio: file I/O, terminal execution, web search, persistent memory, and skill loading.
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Memory and context PyPI Local MIT
LM
localmem-mcp io.github.openagenthq/localmem-mcp 1.6 · 31/100 Local-first, zero-API memory for AI agents. Persistent, private, and yours.
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Memory and context PyPI Local MIT
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Fully local semantic memory for AI agents: search your notes and session logs from any MCP client, with embeddings served by Ollama
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Memory and context PyPI Local MIT
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Self-improving MCP memory server for AI agents. One command, no cloud, no config.
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Memory and context PyPI Local APACHE-2.0
LM
ltmhub-mcp io.github.ltmhub/ltmhub-mcp 1.6 · 31/100 LTMhub MCP Server - Connect Claude Desktop to your Long-Term Memory
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Memory and context PyPI Local MIT