opencode
56f2819a92
- Aggiunto sistema SimplePersistentMemory per fatti, preferenze e cronologia conversazioni - Aggiunto EnhancedPlanner con dipendenze task, priorità e tracciamento progresso - Integrati strumenti di miglioramento nell'agente (remember, recall, preference, planning) - Aggiunti comandi CLI /memory e /plan per accesso diretto da terminale - Aggiunto client MCP per connessione a server Model Context Protocol - Aggiornato README con documentazione completa per tutte le nuove funzionalità - Corretto parsing comando creazione piano per gestire nomi multi-parola Nuovi comandi: - /memory remember <testo> - Ricorda un fatto - /memory recall <query> - Cerca nella memoria - /memory preference set/get - Gestisci preferenze - /memory stats - Statistiche memoria - /plan create <nome> <task1;task2;...> - Crea un piano - /plan list - Elenca tutti i piani - /plan progress <plan_id> - Mostra progresso piano - /plan start <task_id> - Inizia un task - /plan complete <task_id> - Completa un task
1.5 KiB
1.5 KiB
Enhancements for LangCode Agent based on LangChain Deep Agents analysis
This directory contains planned enhancements to bring LangCode Agent closer to the architecture patterns revealed in LangChain's Deep Agents framework.
Planned Enhancements
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Enhanced Memory Systems
- Add VectorStoreRetrieverMemory for semantic recall
- Implement SummaryBufferMemory for conversation summarization
- Add persistent memory storage for cross-session learning
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Advanced Planning & Reasoning
- Implement plan-and-execute agent pattern
- Add self-reflection capabilities
- Improve task decomposition and tracking
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Production Observability
- Add LangChain-style callbacks for tracing
- Implement tool usage monitoring
- Add performance metrics collection
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Advanced Tool Composition
- Implement tool chaining capabilities
- Add async tool execution for parallelism
- Enhance input validation and error handling
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Agent Hierarchies
- Develop specialist subagents for specific domains
- Implement agent routing based on task analysis
- Add agent-to-agent communication patterns
Implementation Approach
Each enhancement will be implemented as a separate module that can be optionally integrated into the main agent, maintaining backward compatibility while extending capabilities.
The enhancements will follow the same patterns already established in the codebase:
- Modular design
- Configuration-driven behavior
- Clear separation of concerns
- Comprehensive error handling