Massive Context

Handles massive token contexts with intelligent chunking, sub-queries, and local Ollama inference.

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Category MCP Servers
Added Mar 28, 2026
Views 49

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Processes extremely large text contexts (10M+ tokens) using the Recursive Language Model pattern. Strategically chunks content, runs sub-queries on individual chunks, and aggregates results for final synthesis. Supports local inference via Ollama and cloud fallback via Claude SDK, with tools for auto-analysis, context loading, batch sub-queries, and sandboxed Python code execution against loaded context.

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