Fetching from the wire…
Public story · 2026-03-07 · source-backed
ByteDance open-sources a context database that abandons vector storage for a "file system paradigm" — tiered context loading (L0/L1/L2), directory recursive retrieval combining filesystem positioning with semantic search. The "context-database" product category is crystallizing. (GitHub)
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Volcengine's OpenViking (25,259 stars) unifies memory, resources, and skills behind a filesystem paradigm, enabling hierarchical context delivery and self-evolution for agents. Source: GitHub It's climbed sharply this year and it's a major-vendor bet on "context as infrastruct...
27,552 stars. Memories, resources and skills stored as a virtual filesystem under a viking:// protocol that agents navigate with ls, tree and find instead of querying an opaque vector store, preserving each query's directory-browsing trajectory for debugging. Three tiers loade...
github.com/volcengine/OpenViking — Replaces flat vector storage with hierarchical filesystem paradigm. Three-tier loading reduces token consumption. Auto-extracts long-term memory from sessions. A concrete alternative to "everything is a vector."
It exposes memory, resources and skills as one virtual filesystem under a viking:// protocol, so an agent navigates its context with ls, tree and find rather than opaque similarity queries, with content tiered into L0 abstract, L1 overview and L2 detail loaded on demand. v0.4....
Admins can set a memory_policy per user limiting which memory types are extractable, applied to existing sessions on their next commit, and VikingBot can discover, cache and execute skills hosted on a remote OpenViking. Also adds a DSH memory plugin and moves DSH tool serving...
hindsight (15.9K stars, memory that learns from past runs), Memori (15.2K, LLM-agnostic agent-native memory), and OpenViking are all fighting over the same ground. Source: GitHub The interesting split is positioning. hindsight sells "learns from experience," Memori sells model...
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