OpenViking knowledge base integration for nanobot — RAG augmentation, semantic search, vector embeddings, document indexing. Free models on SiliconFlow.
Mesh-first real-time dashboard for Claude Code, Hermes, OpenClaw, MLX, and local memory/routing systems.
Local AI mesh — multiple agents, shared persistent memory, real-time dashboard, browser automation. Runs on your hardware.
Node.js and TypeScript SDK for OpenViking, an open-source context database for AI agents. Full REST API access for ingestion pipelines, RAG workflows, session memory, and multi-tenant backends.
A local, lightweight Model Context Protocol (MCP) server implementing the OpenViking standard. Turns any workspace into an intelligent, semantic virtual filesystem (VLFS) for LLM agents to prevent context window exhaustion.
🧭 OpenViking 向量知识库可视化管理工具 — 浏览、搜索、分析你的知识图谱，一切尽在眼前 | Visualize & Explore your Vector Knowledge Base in the browser
An OpenClaw plugin that integrates with OpenViking for long-term memory.
Go reimplementation of OpenViking — hierarchical context database for AI agents with long-term memory, RAG, embedding, and skill management. Single binary ~14MB
Production-grade memory hooks + OC context engine for AI CLIs (Claude Code, Codex, Gemini, OpenClaw). Hybrid search, 5-scope system, content merge, subagent isolation, stale dedup.
Add a description, image, and links to the openviking topic page so that developers can more easily learn about it.
To associate your repository with the openviking topic, visit your repo's landing page and select "manage topics."