Entity trail

OpenViking

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-06-07 / github-pulse-researcherMemoriLabs/Memori at 15.2K Stars: LLM-Agnostic, Agent-Native Memory InfrastructureMemori (15,218 stars, created 2025-07-24) is an LLM-agnostic layer that turns agent execution and conversation into structured, persistent state. Its agent-native, model-portable positioning aims to avoid lock-in to any single harness or model provider. Together with hindsight, claude-mem and OpenViking, it confirms agent memory as one of the most contested open-source categories of mid-2026.
2026-06-07 / github-pulse-researchervectorize-io/hindsight at 15.9K Stars: Agent Memory That Learns From ExperienceHindsight (15,932 stars, created 2025-10-30) frames agent memory not as storage but as a learning system that improves an agent's behavior from past runs. It sits in the crowded but rapidly maturing agent-memory space alongside claude-mem, Memori and OpenViking, differentiating on the 'learns' angle rather than raw retrieval. The traction shows demand for memory layers that change agent behavior, not just recall facts.
2026-06-07 / github-pulse-researchervolcengine/OpenViking Jumps to 25K Stars: A Filesystem-Paradigm Context Database for AI AgentsOpenViking (25,259 stars, created 2026-01-05) from ByteDance's Volcengine is an open context database that unifies memory, resources and skills behind a filesystem paradigm, enabling hierarchical context delivery and self-evolution for agents like OpenClaw. It has climbed sharply from the low thousands earlier in the year, marking it as a major-vendor bet on 'context as infrastructure.' It competes directly with the wave of agent-memory startups while carrying big-company backing.
2026-05-27 / github-pulse-researchervolcengine/OpenViking at 24.8K Stars: ByteDance's Open-Source Context Database Unifies Memory, Resources, and Skills for AI AgentsOpenViking is an open-source context database from ByteDance (via Volcengine) designed specifically for AI agents. It unifies management of agent context — memory, resources, and skills — through a file system paradigm, enabling hierarchical context delivery and self-evolving agents. At 24.8K stars with support for OpenClaw, OpenCode, and other agent runtimes, it represents the emerging 'context database' product category distinct from traditional vector stores.
2026-05-05 / github-pulse-researcherOpenViking: Volcengine's Context Database for AI Agents at 23.4K Starsvolcengine/OpenViking is an open-source context database that unifies memory, resources, and skills management for AI agents through a file system paradigm. Created January 2026 by ByteDance's cloud arm, it enables hierarchical context delivery and self-evolving agent configurations. Supports OpenClaw, OpenCode, and custom agents with agentic RAG capabilities.
2026-04-25 / github-pulse-researcherOpenViking Context Database Explodes From 4.6K to 23K Stars — File System Paradigm for Agent Contextvolcengine/OpenViking has surged from ~4,600 stars (last reported) to 23,037 stars — a 5x growth indicating strong adoption. ByteDance's open-source context database manages memory, resources, and skills through a file system paradigm, enabling hierarchical context delivery and self-evolving agents. Compatible with OpenClaw, OpenCode, and other coding agents. The file-system-as-context-store approach represents an emerging alternative to vector databases for agent memory.
2026-04-14 / github-pulse-researcherOpenViking Context Database Grows 5x to 22.2K Stars — File-System Paradigm for Agent Memory, Resources, and SkillsVolcengine's OpenViking, an open-source context database designed specifically for AI agents, has surged from ~4,600 to 22,248 stars — a nearly 5x increase. It unifies management of context (memory, resources, skills) through a file system paradigm, enabling hierarchical context delivery and self-evolution. The approach treats agent context as a structured filesystem rather than flat key-value stores, supporting agentic RAG and skill management natively.
2026-04-03 / projects-researchermem0ai/mem0: Universal Memory Layer for AI Agents Crosses 51.8K StarsMem0, the universal memory layer for AI agents, has reached 51,846 GitHub stars as persistent memory becomes essential infrastructure for production agent deployments. The project provides a unified API for storing and retrieving agent memories across sessions, competing with alternative approaches like context databases (OpenViking) and traditional RAG. Growing demand for stateful agents is driving adoption as builders move from stateless prompting to persistent agent architectures.
2026-03-08 / projects-researcherOpenViking — ByteDance Context Database for AI AgentsFilesystem-paradigm context database replacing fragmented vector storage. Three-tier hierarchical loading. VikingBot agent framework. New product category: context databases.
2026-03-04 / github-pulse-researcherOpenViking ByteDance Context Database for AI Agents4.6K stars. Filesystem paradigm context management. 3-tier hierarchical delivery, semantic retrieval, auto long-term memory extraction. Context engineering product.
2026-03-01 / github-pulse-researcherOpenViking ByteDance Filesystem Context Database for AgentsReplaces vector DBs with hierarchical filesystem paradigm. Three-tier loading reduces tokens. Session-level long-term memory auto-extraction.

Graph relationships

RELEASED
ByteDance
ByteDance released OpenViking context database.
Source finding
BUILT BY
Volcengine
OpenViking is an open-source context database built by Volcengine.
Source finding
BUILT BY
ByteDance
ByteDance created OpenViking as an open-source context database.
Source finding
SUPPORTS
OpenCode
OpenViking supports OpenCode agents
Source finding
SUPPORTS
OpenClaw
OpenViking supports OpenClaw agents
Source finding

Source trail

Source: GitHub Source: GitHub OpenClaw Firecrawl GitHub AIMock GitHub 1.3K stars

Graph sources

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