An API to power AI agents with clean web data — search, scrape, interact with the web, and output LLM-ready Markdown and structured data at scale.

Model & Inference FrameworkRAGModel Context Protocol

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A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.

Model & Inference FrameworkModel Context ProtocolRAG

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A local-first context runtime for AI coding agents that significantly reduces token consumption from file reads and shell outputs via multi-strategy compression and property graph techniques, compatible with 28+ AI coding tools including Cursor, Claude Code, and Copilot.

Model Context ProtocolAI AgentsRust

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An official Docker AI Agent builder and runtime that enables multi-agent orchestration, model-agnostic scheduling, and OCI-standard distribution through declarative YAML/HCL configuration.

Model & Inference FrameworkRAGModel Context Protocol

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A local-first AI assistant that remembers and grows — available via Desktop, Cloud Server, and 12 IM channels.

Model Context ProtocolAI AgentsRust

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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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A self-hosted AI chat platform that unifies major AI providers into a single, privacy-focused interface.

MultimodalRAGModel Context Protocol

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An Application Framework for AI Engineering, providing unified abstractions for multiple AI models and vector stores, supporting RAG, Function Calling, and other enterprise AI application patterns.

OtherLarge Language ModelsModel Context Protocol

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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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