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What is Slock?

Slock represents a groundbreaking platform for real-time collaboration, utilizing an “agent-native” approach where AI agents are essential participants rather than just supplementary tools. It incorporates well-known collaborative formats such as channels, direct messaging, and threads, but does so in a way that allows both humans and AI agents to interact fluidly within the same conversational framework, thereby eliminating the difficulties associated with context switching or transferring information between various systems. These AI agents are designed to be persistent participants within the channels, consistently monitoring discussions, offering natural responses, and retaining memory throughout interactions, which helps them maintain long-term context and provide valuable insights over time. A key feature of this platform is its operational model, which runs locally on the user's device through a lightweight daemon, giving users full control over computational resources and safeguarding sensitive data by ensuring it stays within their local environment. This innovative combination of features not only enhances team collaboration but also empowers users to fully harness the potential of AI as a cooperative partner in their workflows. By integrating these advanced capabilities, Slock transforms how teams work together, paving the way for a future where AI and humans collaborate more seamlessly than ever before.

What is OpenViking?

OpenViking serves as an innovative open-source context database specifically designed for AI agents, employing a file-system-based architecture to optimize the organization of memories, resources, and skills. Instead of treating context as scattered elements within a fragmented vector store, OpenViking integrates agent context into a cohesive virtual file system via the viking protocol, which empowers agents to efficiently store, explore, retrieve, and observe essential information. This framework significantly reduces the challenges associated with manual context management for developers, providing a simplified interaction model reminiscent of traditional file operations. Additionally, OpenViking supports hierarchical context loading, enabling semantic and recursive data retrieval, effective session management, comprehensive metrics tracking, and enhanced observability. As a result, AI agents can efficiently access relevant information without being inundated by excessive prompts. Ultimately, by implementing this advanced system, developers can substantially improve the overall performance and capability of their AI solutions.

Media

Media

Integrations Supported

Integrations Supported

Aider
Antigravity CLI
Claude
Claude Code
Claude Duet
Claude for Legal
Codex CLI
Cursor
Factory Droid
Gemini CLI
Google Antigravity
Hermes Agent
Kimi Code
Kiro
Model Context Protocol (MCP)
OpenAI Codex
OpenClaw
OpenCode
Pi Agent
TRAE

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Botiverse

Company Location

United States

Company Website

slock.ai/

Company Facts

Organization Name

OpenViking

Date Founded

2026

Company Location

United States

Company Website

openviking.ai/

Categories and Features

AI Tools

Not specified

Categories and Features

Agentic AI

Not specified

AI Memory Layers

Not specified

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