fish-bridge — Session Knowledge Graph

Turns sprawling AI chat sessions into compact knowledge graphs that persist across conversations. The core workflow runs standalone: ingest from Copilot JSONL or paste any chat, compile to a 300-800 token graph, write to copilot-instructions.md or CLAUDE.md. The optional MCP server adds real-time turn recording in VS Code agent mode via record_turn, get_context, mark_resolved, and export_session tools. Supports local Ollama (free, offline) or cloud backends like Gemini and Claude. Useful when you're resuming long-running architecture discussions or onboarding someone mid-project. Also merges external sources like Obsidian vaults, git logs, dependency manifests, and test output into the same typed graph structure.