A universal memory layer for AI Agents providing multi-level personalized long-term memory extraction, storage, and fused retrieval.

Docs, Tutorials & ResourcesRAGAI Agents

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Persistent memory engine for AI coding agents featuring auto-capture hooks, triple-stream hybrid retrieval, and 4-tier memory consolidation to eliminate re-explanation across sessions.

Docs, Tutorials & ResourcesRAGModel Context Protocol

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Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.

Docs, Tutorials & ResourcesRAGModel Context Protocol

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A Temporal Context Graph construction and query framework for AI Agents, providing incremental memory evolution with time-windowed facts and hybrid retrieval capabilities.

Docs, Tutorials & ResourcesModel Context ProtocolRAG

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An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.

Docs, Tutorials & ResourcesAI AgentsModel Context Protocol

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AI memory for your screen. Turns your computer into a personal AI by continuously recording screen and audio to build a searchable, local AI memory system.

Docs, Tutorials & ResourcesRAGMultimodal

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A persistent, shared memory backend for AI Agent pipelines, providing REST API, MCP protocol, and knowledge graph with hybrid search, autonomous memory consolidation, and multi-agent collaboration — fully self-hosted with zero cloud cost.

Docs, Tutorials & ResourcesMulti-Agent SystemAI Agents

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An ultra-fast, multi-tenant graph database powered by a GraphBLAS sparse-matrix engine, running as a Redis Module, optimized for GraphRAG and AI Agent workloads.

Docs, Tutorials & ResourcesAI AgentsRAG

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Open-source digital human agent platform that creates real-time video-callable AI agents from a single photo, with RAG knowledge import, voice cloning, and modular plugin architecture.

Docs, Tutorials & ResourcesMultimodalRAG

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A durable, multi-agent, auditable, and learnable AI execution platform built on a daemon-first architecture, enabling seamless cross-terminal switching and long-running autonomous tasks.

Docs, Tutorials & ResourcesAI AgentsModel Context Protocol

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