iven
5c74e74f2a
fix(desktop): component cleanup + dead code removal + DeerFlow ai-elements
...
- ChatArea: DeerFlow ai-elements annotations for accessibility
- Conversation: remove unused Context, simplify message rendering
- Delete dead modules: audit-logger.ts, gateway-reconnect.ts
- Replace console.log with structured logger across components
- Add idb dependency for IndexedDB persistence
- Fix kernel-skills type safety improvements
2026-04-03 00:28:58 +08:00
iven
f3ec3c8d4c
feat(intelligence): complete migration to Rust backend
...
- Unify all intelligence modules to use intelligenceClient
- Delete legacy TS implementations (agent-memory, reflection-engine, heartbeat-engine, context-compactor, agent-identity, memory-index)
- Update all consumers to use snake_case backend types
- Remove deprecated llm-integration.test.ts
This eliminates code duplication between frontend and backend, resolves
localStorage limitations, and enables persistent intelligence features.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-21 15:17:39 +08:00
iven
04ddf94123
feat: implement ZCLAW Agent Intelligence Evolution Phase 1-3
...
Phase 1: Persistent Memory + Identity Dynamic Evolution
- agent-memory.ts: MemoryManager with localStorage persistence, keyword search, deduplication, importance scoring, pruning, markdown export
- agent-identity.ts: AgentIdentityManager with per-agent SOUL/AGENTS/USER.md, change proposals with approval workflow, snapshot rollback
- memory-extractor.ts: Rule-based conversation memory extraction (Phase 1), LLM extraction prompt ready for Phase 2
- MemoryPanel.tsx: Memory browsing UI with search, type filter, delete, export (integrated as 4th tab in RightPanel)
Phase 2: Context Governance
- context-compactor.ts: Token estimation, threshold monitoring (soft/hard), memory flush before compaction, rule-based summarization
- chatStore integration: auto-compact when approaching token limits
Phase 3: Proactive Intelligence + Self-Reflection
- heartbeat-engine.ts: Periodic checks (pending tasks, memory health, idle greeting), quiet hours, proactivity levels (silent/light/standard/autonomous)
- reflection-engine.ts: Pattern analysis from memory corpus, improvement suggestions, identity change proposals, meta-memory creation
Chat Flow Integration (chatStore.ts):
- Pre-send: context compaction check -> memory search -> identity system prompt injection
- Post-complete: async memory extraction -> reflection conversation tracking -> auto-trigger reflection
Tests: 274 passing across 12 test files
- agent-memory.test.ts: 42 tests
- context-compactor.test.ts: 23 tests
- heartbeat-reflection.test.ts: 28 tests
- chatStore.test.ts: 11 tests (no regressions)
Refs: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md updated with implementation progress
2026-03-15 22:24:57 +08:00
