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@github-actions github-actions released this 19 Jun 07:57
v0.2.2
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Learn about vigilant mode.

[0.2.2] - 2026-06-19

New Features

  • Embedding Lifecycle Unification: Unified embedding lifecycle across distillation, storage, and retrieval pipelines. Embedding workflows now share a common lifecycle model, reducing code duplication and ensuring consistent behavior during creation, update, and deletion of embeddings.
  • Context Cleaning: Automatic context window management with tool call causality preservation. The context cleaner maintains causal ordering of tool calls during cleanup, preventing out-of-order execution after context truncation.
  • Workflow Enhancements: MutableDAG.ReplaceNode for replacing nodes at runtime. Custom RecoveryHandler for failure recovery per workflow step. Enhanced event propagation across workflow execution.
  • Portfolio Simulator: Investment portfolio simulation system with multi-asset backtesting. Includes research memory bridge connecting portfolio simulation results to the research memory system for data-driven investment decisions.
  • Investment Simulator: Standalone investment simulation module for modeling and analyzing investment strategies.
  • CoinGecko Crypto Feed: Real-time cryptocurrency price data integration via CoinGecko API, enabling live market data for trading analysis.
  • Public Marketmaking API: Marketmaking API migrated from internal to public (api/marketmaking/), with multi-asset backtesting support. Includes comprehensive paper trading, chaos testing, and backtesting capabilities.
  • Quant Trading Example: Complete quantitative trading example with SQLite backend, demonstrating end-to-end quant trading workflow.
  • Tool Lifecycle Events: Emit lifecycle events for tool execution, enabling observability and monitoring of tool calls throughout their lifecycle.
  • Memory Metadata Propagation: Expanded metadata propagation across memory operations, enriching context with session and agent metadata.
  • Concurrent Distillation Pipeline: errgroup-based parallel embedding in distiller (concurrency limit 5), and concurrent experience storage in manager_impl.go, reducing end-to-end distillation latency.
  • Content Hash Dedup: SHA-256 content_hash column on distilled_memeries with ON CONFLICT (tenant_id, content_hash) WHERE content_hash IS NOT NULL DO NOTHING for idempotent memory storage.
  • Idempotent Migrations: All DDL operations now safe to re-run — DROP IF EXISTS + CREATE for policies/triggers, IF NOT EXISTS for indexes, ADD COLUMN IF NOT EXISTS for schema evolution.
  • Chinese Language Support: Chinese keyword detection in detector.go (介绍/是什么/怎么/有哪些/区别/说说/推荐 etc.) and Chinese importance scoring in scorer.go (错误/修复/配置/框架/架构/优化 etc.), enabling experience extraction from Chinese Q&A.
  • Knowledge Correction Flow: End-to-end correction pipeline in knowledge-base example — detects correction intent, calls LLM for structured commands (UPDATE:/DELETE:/CREATE:), executes DB writes for both distilled_memories and knowledge_chunks_1024. Supports correction via "纠错" keyword.
  • RAG Search Includes Corrected Memories: KnowledgeBase.Search() now queries both knowledge_chunks_1024 and distilled_memories, with corrected memories boosted in ranking.
  • Restart Script Import: scripts/docker/restart.sh --save <path> option to import a document immediately after DB migration.

Refactors

  • Enhanced configuration safety with improved validation and error handling in the API layer (api/config.go, api/service.go).
  • Renamed quant-demo to quant-trading with updated configuration and documentation.
  • Enforced snapshot-only data constraint in analyst prompts to ensure data consistency.
  • Replaced WriteString(fmt.Sprintf(...)) with fmt.Fprintf across correction flow.
  • Simplified loop with append(..., distilledResults...).

Bug Fixes

  • Resolved data race and timing issues in DynamicExecutor recovery path.
  • Fixed documentation file naming inconsistencies.
  • Fixed all errcheck issues (unchecked Close() calls) in cmd/ migration tools.
  • Fixed De Morgan's law simplification in UUID validation.

Acknowledgements

We sincerely thank the iflow.cn community members for their constructive feedback on the project.

Contributors

chigefeijimu and Timwood0x10
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