Intelligent context management system for AI coding agents. Solves the critical problem of context window overflow by implementing a tiered context architecture with smart prioritization, automatic summarization, and dynamic loading. Features include: automatic context budget calculation based on model capacity, smart…
Self-improving AI agent evolution engine with intelligent experience management. Captures learnings, errors, and feature requests from every interaction, deduplicates them intelligently using semantic similarity, and promotes high-value patterns into reusable skills. Unlike basic memory skills, it features automatic…
MCP server "filepulse-cli" as configured in gitstq/FilePulse-CLI. Runs locally from the filepulse-cli Python package.
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originalMIT
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