
Gurtam
GPS Insight
Fleetio
Onfleet
KeepTruckin
GPSWOX
Azuga Fleet Management
MyGeotab
ContextForge.dev
Agentmemory
OpenMemory MCP
Gurtam is a global software development company that specializes in creating fleet management solutions for diverse niches and businesses, leveraging telematics and IoT technologies. It is headquartered in Vilnius, Lithuania, and has offices in Boston, Dubai, and Tbilisi.
With over 20 years of experience in the market, Gurtam has established itself as a leading player in the industry with a robust portfolio of products designed to meet diverse business needs. The company's solutions are Wialon, flespi, and GPS-Trace.
Gurtamโs flagship product, Wialon, is the ultimate platform for GPS tracking and IoT. It offers robust functionality, including real-time vehicle tracking, driver behavior monitoring, and fuel control, making it an ideal solution for fleet management and digitalization. With Wialon, fleet owners can gain deep insights into their vehicles or machinery and make well-informed decisions, streamlining operations and enhancing efficiency.
flespi is an API-first telematics and IoT backend platform. Functioning as an under-the-hood solution, flespi aggregates and processes telematics data from various sources, delivering it in a format tailored to specific business needs. This product is ideal for businesses seeking to develop their own telematics software.
GPS-Trace comprises a set of easy-to-use GPS tracking apps that provide real-time monitoring, statistics, notifications, and more. The apps available on the platform are customized for various users, including individuals and small businesses in need of effective and user-friendly tracking solutions. With the added benefit of free use, GPS-Trace is accessible to a wide audience, offering simplicity without compromising functionality.
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Gurtam
ContextForge.devGurtam is particularly recommended for businesses involved in logistics, transportation, and delivery services that require advanced fleet management capabilities. It is also suited for enterprises that need custom telematics solutions or those that operate internationally, given Gurtam's extensive range of supported hardware and global customer base.
ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
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