Twin: A Possible Solution to AI Context Rebuilding [P]

Short summary

Twin is an open-source project that continuously observes distributed events from GitHub, Slack, and other sources to build reusable situation models, eliminating the need to reconstruct AI context from scratch each conversation. The author demonstrated Twin processing a public software project's activity with Claude Sonnet 4.6, then querying a fresh Claude session via Twin's MCP server — Claude accurately explained feature blockers, implementation details, and PR relationships without any explicit context injection. The project frames the core challenge as cognitive continuity rather than memory retrieval, and the full codebase and demo are available on GitHub.

• •Twin continuously correlates events from GitHub, Slack, and other sources into reusable situation models for LLMs
• •Demo shows fresh Claude session answering project-specific questions via Twin's MCP server with zero manual context
• •Open-source on GitHub; frames the problem as cognitive continuity rather than memory retrieval

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