openviking-setupSet up OpenViking context database for OpenClaw agents. OpenViking is an open-source context database designed specifically for AI agents with filesystem-bas...
Install via ClawdBot CLI:
clawdbot install engsathiago/openviking-setupGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://raw.githubusercontent.com/volcengine/OpenViking/main/crates/oCalls external URL not in known-safe list
http://localhost:11434Uses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill's external calls (OpenAI, Anthropic, Ollama) are consistent with its stated purpose of configuring a context database and require explicit user-provided API keys. The curl installation command, while a common pattern, downloads from a public GitHub repository, which carries a low inherent risk of supply chain compromise but is not overtly malicious.
Generated Mar 22, 2026
Deploy OpenViking to manage context for customer service AI agents, enabling persistent memory of past interactions and preferences across sessions. The tiered memory system optimizes token usage by keeping recent conversations in L0 and archiving older cases to L2 for semantic retrieval, improving response accuracy and efficiency.
Use OpenViking to organize and retrieve research materials, notes, and findings for AI agents assisting in academic or scientific work. The filesystem-based storage allows categorization of resources by topic, while L1/L2 tiers ensure quick access to frequently used data and long-term archival of reference documents.
Integrate OpenViking with AI agents that generate marketing content, storing brand guidelines, past campaigns, and audience insights in tiered memory. This enables consistent messaging and efficient retrieval of historical data to inform new creatives, reducing redundancy and enhancing personalization.
Implement OpenViking for AI agents in healthcare settings to manage patient interaction histories, treatment plans, and medical notes with secure, organized memory tiers. L0 handles active session data, while L2 archives older records for compliance and future reference, aiding in continuity of care.
Leverage OpenViking to provide AI agents with context on codebases, documentation, and team discussions for software projects. The memory system stores project specs in resources and session logs in memories, enabling efficient retrieval across development cycles and reducing onboarding time for new contributors.
Offer OpenViking as a managed service for companies using AI agents, providing cloud-based context database hosting with tiered memory optimization. Revenue comes from monthly subscriptions based on storage tiers, API calls, and integration support, targeting businesses scaling AI deployments.
Provide consulting services to help enterprises integrate OpenViking into their existing AI workflows, including configuration, plugin development, and optimization for specific use cases. Revenue is generated through project-based fees, ongoing maintenance contracts, and training workshops.
Distribute OpenViking as open-source software with premium enterprise features, such as advanced analytics, enhanced security, and priority support. Revenue streams include licensing fees for commercial use, paid support plans, and custom development for large organizations.
💬 Integration Tip
Start by configuring the OpenClaw plugin with default tier settings, then gradually adjust token limits based on your agent's usage patterns to balance performance and cost.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
PollyReach gives every AI agent a phone number and the ability to get things done over the phone — finding contacts, making calls, and completing tasks. Just...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Infinite organized memory that complements your agent's built-in memory with unlimited categorized storage.