What's New
Persistent Memory System
AI agents now retain knowledge across sessions with a 3-layer memory architecture:
- Layer 1 (Context Injection): SQLite-backed observations, compressed snapshots, and curated learnings are injected into agent system prompts automatically
- Layer 2 (Observation Extraction): PostToolUse hooks capture high-signal events (file edits, test results, errors, git ops) and compress them into concise snapshots — zero API token cost
- Layer 3 (On-Demand Tools): In-process MCP server exposes
memory_recall,memory_save_learning, andmemory_searchtools that Claude can call during sessions - MemPalace Integration: Optional Python-based MCP sync for cross-session memory persistence
- Settings UI: New Memory tab in settings for configuring memory behavior
Browser, Codebase Search, Inline Edit, Notepads, AI PR Review
- Built-in browser for web research during agent sessions
- Codebase-wide search with file and symbol navigation
- Inline edit support for targeted code modifications
- Notepads for persistent scratch notes across sessions
- AI-powered pull request review
Bug Fixes
- Fix clippy 1.94 errors blocking CI
- Fix TypeScript build errors
- Address security and reliability issues in new features
- Fix async executor blocking during memory context building
- Fix memory context not being injected on followup agent messages