iven
f79560a911
refactor(desktop): split kernel_commands/pipeline_commands into modules, add SaaS client libs and gateway modules
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Split monolithic kernel_commands.rs (2185 lines) and pipeline_commands.rs (1391 lines)
into focused sub-modules under kernel_commands/ and pipeline_commands/ directories.
Add gateway module (commands, config, io, runtime), health_check, and 15 new
TypeScript client libraries for SaaS relay, auth, admin, telemetry, and kernel
sub-systems (a2a, agent, chat, hands, skills, triggers).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-31 11:12:47 +08:00
iven
978dc5cdd8
fix(安全): 修复HTML导出中的XSS漏洞并清理调试日志
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refactor(日志): 替换console.log为tracing日志系统
style(代码): 移除未使用的代码和依赖项
feat(测试): 添加端到端测试文档和CI工作流
docs(变更日志): 更新CHANGELOG.md记录0.1.0版本变更
perf(构建): 更新依赖版本并优化CI流程
2026-03-26 19:49:03 +08:00
iven
b7f3d94950
fix(presentation): 修复 presentation 模块类型错误和语法问题
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- 创建 types.ts 定义完整的类型系统
- 重写 DocumentRenderer.tsx 修复语法错误
- 重写 QuizRenderer.tsx 修复语法错误
- 重写 PresentationContainer.tsx 添加类型守卫
- 重写 TypeSwitcher.tsx 修复类型引用
- 更新 index.ts 移除不存在的 ChartRenderer 导出
审计结果:
- 类型检查: 通过
- 单元测试: 222 passed
- 构建: 成功
2026-03-26 17:19:28 +08:00
iven
f3ec3c8d4c
feat(intelligence): complete migration to Rust backend
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- 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
3518fc8ece
feat(automation): complete unified automation system redesign
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Phase 4 completion:
- Add ApprovalQueue component for managing pending approvals
- Add ExecutionResult component for displaying hand/workflow results
- Update Sidebar navigation to use unified AutomationPanel
- Replace separate 'hands' and 'workflow' tabs with single 'automation' tab
- Fix TypeScript type safety issues with unknown types in JSX expressions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-18 17:12:05 +08:00
iven
0b89329e19
feat(l4): upgrade engines with LLM-powered capabilities (Phase 2)
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Phase 2 LLM Engine Upgrades:
- ReflectionEngine: Add LLM semantic analysis for pattern detection
- ContextCompactor: Add LLM summarization for high-quality compaction
- MemoryExtractor: Add LLM importance scoring for memory extraction
- Add unified LLM service adapter (OpenAI, Volcengine, Gateway, Mock)
- Add MemorySource 'llm-reflection' for LLM-generated memories
- Add 13 integration tests for LLM-powered features
Config options added:
- useLLM: Enable LLM mode for each engine
- llmProvider: Preferred LLM provider
- llmFallbackToRules: Fallback to rules if LLM fails
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-16 10:41:03 +08:00
iven
04ddf94123
feat: implement ZCLAW Agent Intelligence Evolution Phase 1-3
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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
