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ByteDance SE Lab
ByteDance SE Lab
Apr 22, 2026 · Artificial Intelligence

How OpenViking Enables Agents to Remember Grudges and Master Disguises in Multi‑Agent Werewolf Games

The article demonstrates how OpenViking adds traceable, incremental memory to multiple agents, allowing VikingBot to record game events, recognize player styles, hold grudges, form alliances, and disguise identities across Werewolf rounds, resulting in a clear win‑rate boost and near‑three‑fold accuracy improvement while maintaining strong multi‑tenant security.

AI agentsContext ManagementMulti-Agent Memory
0 likes · 21 min read
How OpenViking Enables Agents to Remember Grudges and Master Disguises in Multi‑Agent Werewolf Games
ByteDance SE Lab
ByteDance SE Lab
Mar 20, 2026 · Artificial Intelligence

How to Build a Multi‑Repo Semantic Code Q&A System with OpenViking

This guide explains the challenges of multi‑repository code retrieval, presents an experimental evaluation of OpenViking's semantic search, and provides step‑by‑step instructions for installing, configuring, importing repositories, and integrating the system into AI agents and chatbots.

AI AssistantOpenVikingevaluation
0 likes · 16 min read
How to Build a Multi‑Repo Semantic Code Q&A System with OpenViking
AI Explorer
AI Explorer
Mar 15, 2026 · Artificial Intelligence

How OpenViking Redesigns AI Agent Memory with a File‑System Approach

OpenViking, an open‑source project from ByteDance, introduces a file‑system‑style context database for AI agents that unifies memory, resources, and skills, offers hierarchical L0‑L2 loading, visualizable retrieval paths, and self‑evolution, aiming to eliminate fragmented context management and improve debugging, cost, and scalability.

AI AgentOpenVikingcontext database
0 likes · 8 min read
How OpenViking Redesigns AI Agent Memory with a File‑System Approach
ShiZhen AI
ShiZhen AI
Feb 23, 2026 · Artificial Intelligence

Is OpenViking’s File‑System‑Based Agent Memory a Real Innovation or Just a RAG Facelift?

OpenViking, an open‑source “Agent context database” from ByteDance’s Volcano Engine, replaces flat RAG retrieval with a hierarchical file‑system model, offering layered summaries, recursive directory search, and traceable sessions, but its core still relies on vector retrieval and some features remain placeholders, making it more suited to enterprise agents than hobby projects.

Agent MemoryContext ManagementEnterprise AI
0 likes · 11 min read
Is OpenViking’s File‑System‑Based Agent Memory a Real Innovation or Just a RAG Facelift?