OpenViking

项目详情摘要

The Context Database for AI Agents English / 中文 / 日本語 Website · Live Demo · GitHub · Issues · Docs · Blog  Lark ·  WeChat ·  Discord ·  X What is OpenViking OpenViking is an open-source context database for AI agents — one filesystem for everything an agent knows: knowledge, memory, and skills. Most agent memory is a black box: text goes in, embeddings come out, and nobody can see what was actually stored. OpenViking organizes context as a virtual filesystem under `viking://` instead. Agents navigate it like files — `ls`, `tree`, `read`, `write`, `grep` — and you can open any directory to inspect and edit what your agent knows. Every directory carries a generated summary, so agents can scan summaries first and decide what to read. Try OpenViking Studio in your browser, no installation required. Self-host Web Studio. Why OpenViking **One filesystem for knowledge, memory, and skills.** Resources hold documents and code; memories retain user preferences and experience; skills define how to perform tasks — not just extracted facts, but the full context, each with a `viking://` URI for browsing and retrieval. → Viking URI · Context types **Search a directory, not the whole index.** Scope semantic search to a project or memory subtree instead of scanning a flat vector pool. `find` runs a query directly; `search` plans retrieval from session context. → Retrieval **Read the summary before the source.** Generated directory abstracts (L0) and overviews (L1) let agents judge relevance before opening full content (L2). → Context layers **Sessions become files you can read.** Committing a session archives the conversation and extracts memories as Markdown you can inspect, edit, and merge. With VikingBot enabled, `ov compile` organizes source material into a wiki,