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10 matching repositories for “retrieval”.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
agent-harnessagent-native-databaseagentic-aiagentic-retrievalagentic-searchaiai-agentscontext-engine
Source: GitHub repository metadata.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
agent-frameworkagentic-aiagentic-ragagentsaiai-agentscontext-engineeringframework
Source: GitHub repository metadata.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
agentic-aiagentsaiai-agentscontext-engineeringinformation-retrievalllmrag
Source: GitHub repository metadata.
The local-first intelligence layer that gives AI agents durable continuity, explainable retrieval, portable context, and verified learning across harnesses.
agent-frameworkagent-memoryagent-orchestrationai-infraai-interfacecontext-engineeringcontext-managementgolang
Source: GitHub repository metadata.
Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.
agent-frameworkagent-runtimeagentsaiai-agentsanthropicgogolang
Source: GitHub repository metadata.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
agentagentic-aiaiai-agentschatgptclaudedeepseek-harnessdsh-plugin
Source: GitHub repository metadata.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
agentscode-searchembeddingsmcpmcp-servermodel-context-protocolretrieval
Source: GitHub repository metadata.
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
agentaiai-codingclaudeclaude-codecodexidejetbrains
Source: GitHub repository metadata.
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.
agent-frameworkagentsagiaiai-agentsartificial-intelligenceautogptautonomous-agents
Source: GitHub repository metadata.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
aiastclaude-codecode-analysiscode-understandingcodebase-searchdeveloper-toolsgraph-database
Source: GitHub repository metadata.
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