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Two independent teams, solving different problems, arrived at the same answer: stop treating the LLM as a data processor.
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Your tool output isn't stored once — it's re-sent as input tokens on every API call.
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Open-source autonomous issue orchestration.
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From a single-client MCP server to a multi-platform context engine. 2.6K stars, 134 forks, 107 comments.
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Real-world RAG system implementation - wrong turns, 3am debugging, and decisions that actually mattered.
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MCP server that reduces Claude Code context consumption by 98%. 315 KB becomes 5.4 KB.
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Open-source AI agent that communicates through Telegram and WhatsApp - beyond conversation, it takes action.