Give Claude Code the full picture

Claude Code is Anthropic's terminal-native AI coding assistant, and it is exceptionally capable at deep reasoning, complex refactoring, and autonomous multi-step tasks. It reads CLAUDE.md for project-level instructions, which helps establish conventions. But CLAUDE.md is static — it does not capture the evolving decisions made across sessions. Every time you start a new Claude Code session, the AI has no memory of what happened yesterday: which debugging approaches failed, what architectural trade-offs you settled on, or which dependency versions caused issues.

Swylink adds the missing persistence layer. With MCP native support built into Claude Code, Swylink integrates seamlessly — Claude Code can save and search context without any additional configuration beyond the initial setup. When Claude Code runs in autonomous mode and makes a series of decisions about how to restructure a module, those decisions are captured automatically. The next session picks up exactly where the last one left off.

This is particularly powerful with Claude Code's hooks system. You can configure hooks to trigger context saves after specific events, creating an automatic knowledge base of your project's evolution. Combined with Swylink's semantic search, any AI tool in your stack can query this accumulated knowledge by meaning, not just keywords.

Claude Code sessions generate rich context that Swylink persists: debugging sessions with root cause analysis and what was tried before the fix, code review decisions explaining why certain patterns were preferred, architectural choices made during autonomous coding runs, dependency evaluation notes with version compatibility findings, refactoring rationale including before/after design reasoning, and test strategy decisions. When you switch to Cursor for rapid editing or Copilot for inline completions, all of this context is searchable — your other tools understand the full history.