Agent Workflows · Retrieval-augmented generation

Diagnoses and repairs a broken AutoRAG install so every configured datasource is both indexed and returns real search hits.

Marker-Inc-Korea/AutoRAG

Guide to building Node.js and TypeScript apps on the agent-squad package: orchestrator, agent types, classifier routing, storage, retrievers and MCP tools.

2FastLabs/agent-squad

Installs, configures, and repairs AutoRAG's search model, approved folders, indexes, and datasources, and registers its Lite MCP server.

Marker-Inc-Korea/AutoRAG

Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client…

liliang-cn/cortexdb

ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring…

yoloshii/ClawMem

Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package.

liliang-cn/cortexdb

Guide for using the NeuroLink SDK and CLI. An agent skill from juspay/neurolink.

juspay/neurolink

A skill your agent uses when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original…

opendatalab/Sciverse-Agent-Tools

Orchestrate DeepSeek Oracle multi-agent workflows by routing user intents to specialist oracle skills, enforcing safety gates, and composing one unified answer with follow-up questions and action…

Bald0Wang/DeepSeek-Oracle

Use TypeSafe Jev for narrow judgments inside DeepSeek Harness — routing, classifying, scoring, verifying, reranking — instead of spending a model turn on them.

PerryLink/jevcore

Search and retrieve facts, decisions, and past context from SuperLocalMemory.

qualixar/superlocalmemory

Explains how to query cognee agent memory with recall(): how the search type is chosen, how to narrow a query to datasets, and what the returned results contain.

topoteretes/cognee

Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions.

AgibotTech/genie_sim

Agent RAG and long-term memory with Pinecone. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Context management engine for AI coding agents. An agent skill from borghei/Claude-Skills.

borghei/Claude-Skills

A skill your agent uses when splitting extracted text into chunks for LLM context windows or RAG ingestion.

hashgraph-online/awesome-codex-plugins

AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。

hashgraph-online/awesome-codex-plugins

Gather disciplined context for solving a task, then hand off to development.

hashgraph-online/awesome-codex-plugins

Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query.

seb1n/awesome-ai-agent-skills

Build LLM applications with the LlamaIndex framework. An agent skill from magnus919/agent-skills.

magnus919/agent-skills

Expert skill for memory-lancedb-pro — a production-grade LanceDB-backed long-term memory plugin for OpenClaw agents with hybrid retrieval, cross-encoder reranking, multi-scope isolation, and smart…

LeoYeAI/openclaw-master-skills