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Paste its GitHub repo and we list it after a quick review.
Lets AI coding assistants run semantic code search, symbol graph navigation, and persistent memory queries over an indexed codebase.
Provides AI agents with a local-first knowledge graph and experience memory using intelligent context routing and progressive disclosure.
$https://github.com/primeline-ai/kairn/releases/download/v0.3.2/kairn-0.3.2.mcpb
Provides a local-first, federated memory engine for AI agent teams with team and project-scoped access control and associative recall.
$claude mcp add agent-memory-os -- uvx agent-memory-os
Provides AI assistants with local-first graph memory using SQLite and semantic search to recall, connect, and learn from long-term context.
$claude mcp add memory-engine-mcp -- docker run -i --rm ghcr.io/simoneb79/memory-engine-mcp:1.5.3
Provides AI agents with long-term memory by capturing conversations verbatim and serving relevant context through a local hyperdimensional storage engine.
Provides a neuro-inspired long-term memory engine for AI agents using semantic graphs and asynchronous consolidation.
$claude mcp add smriti-memcore -- uvx smriti-memcore
Provides a local-first SQLite episodic memory engine that allows AI coding agents to maintain project state and architectural decisions across different models.
Provides AI agents with persistent, searchable long-term memory using hybrid BM25 and FAISS search with built-in resilience features.
$claude mcp add mindcore-memory-mcp -- uvx mindcore-memory
Provides local grounded memory for coding agents, offering a verdict engine to verify if AI responses are supported by recorded facts.
Provides a typed, local-first context graph engine that acts as durable, shared memory for AI agents via MCP.
A local-first AI context engine that manages project knowledge, code maps, and episodic memories to provide structured context to AI assistants.
