Applied AI Research

Context Management is about efficiently using the limited 'working memory' (context window) of LLMs in agent systems. When you load multiple MCP servers, their schemas consume 30-50% of context before you even start. Casys Intelligence uses vector search to load only relevant tools on-demand, recovering 90% of that wasted context.

Most MCP tools load all server schemas eagerly (wasting context) and execute tool calls sequentially (wasting time). Casys Intelligence uses: (1) Vector search for on-demand tool loading (<5% context), (2) DAG analysis for parallel execution (5x faster), (3) SQLite-first architecture (zero infrastructure). It's the only MCP gateway focused specifically on context optimization.

Graph RAG = Using a knowledge graph (relationships between tools/contexts) for semantic search instead of loading everything. DAG = Directed Acyclic Graph, a way to analyze which tool calls can run in parallel vs sequential. Together: smarter context loading + faster execution.

Yes. AGPL-3.0 license. You can self-host for free forever, read the code, modify it, contribute. Managed service is optional for teams that want cloud sync and collaboration.

Active development with emergent capabilities. Core features (GraphRAG discovery, DAG orchestration, TypeScript sandbox) are functional. PGlite + Deno 2.x architecture. You can follow progress on GitHub.

Architecture review, deployment help, custom MCP integrations, context strategy design, team training. We work hands-on with your codebase. Flexible options: short workshops, custom projects, ongoing partnerships, and custom enterprise programs.

We're the people who build Casys Intelligence. We code the systems we recommend. You get direct access to technical experts, not account managers. Faster iteration, accessible mid-market entry points, no heavy minimum engagements like big consultancies.

We work with any agentic architecture. If you're not using Casys Intelligence, that's fine. Our expertise is Context Management, Graph DBs, DAG orchestration. We help you design the best solution for your use case.

Agentic Architecture Workshop (2-3 days), Casys Intelligence Hands-On Training (1 day), Context Management Fundamentals (1/2 day). All programs are customized to your tech stack and use cases.

On-site (Taiwan, Asia-Pacific), Remote (worldwide), or Hybrid. We partner with Alegria Group for regular workshops in Taiwan and participate in French Tech Taiwan events.

Hybrid: (1) Casys Intelligence SaaS (freemium), (2) Consulting (workshops → projects → partnerships → enterprise), (3) Training (custom programs). You choose how to work with us based on your needs.

CTOs, Tech Leads, Engineering Managers at mid-market companies building AI agents and MCP-based systems. If you're dealing with context management challenges, we can help.

10+ years Context Management, from Knowledge Management (2013+) to Graph Databases to DAG architectures to MCP ecosystems. We've been doing this since before it was called "Context Management for AI agents".

We offer several flexible options: focused workshops (1 day), custom projects (full deployment), or ongoing partnerships (direct builder access). No heavy minimum engagements. We optimize for iteration speed and mid-market access, not margin maximization. Our business model is hybrid: open source (Casys Intelligence), consulting, training. Contact us to discuss your specific needs.