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Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

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# Ralph Cross-Task Memory Schema # Based on REF-021 Reflexion Research # Issues: #154, #155 $schema: "https://json-schema.org/draft/2020-12/schema" $id: "https://aiwg.io/schemas/ralph-cross-task-memory/v1" title: "Ralph Cross-Task Memory Schema" description: | Schema for cross-task learning through semantic similarity matching and configurable memory capacity (Ω parameter) per REF-021 Reflexion. type: object required: - version - memory_config - cross_task_learning properties: version: type: string pattern: "^\\d+\\.\\d+\\.\\d+$" default: "1.0.0" memory_config: $ref: "#/$defs/MemoryConfig" cross_task_learning: $ref: "#/$defs/CrossTaskConfig" $defs: MemoryConfig: type: object description: "Memory capacity (Ω parameter) configuration" properties: default_capacity: type: integer default: 3 description: "Default Ω (sliding window size)" presets: type: object properties: simple: type: integer default: 1 description: "For simple, well-defined tasks" moderate: type: integer default: 3 description: "For typical development tasks" complex: type: integer default: 5 description: "For complex multi-step tasks" maximum: type: integer default: 10 description: "For highly complex reasoning tasks" auto_scaling: type: object properties: enabled: type: boolean default: false scale_up_on: type: array items: type: string default: - consecutive_failures - low_quality_scores scale_down_on: type: array items: type: string default: - high_quality_maintained - fast_convergence storage: type: object properties: reflections_path: type: string default: ".aiwg/ralph/{loop_id}/reflections/" all_reflections_kept: type: boolean default: true description: "Save all reflections even if not in window" CrossTaskConfig: type: object description: "Cross-task learning configuration" properties: enabled: type: boolean default: true storage: type: object properties: memory_path: type: string default: ".aiwg/ralph/memory/" index_file: type: string default: "task-index.json" embeddings_path: type: string default: ".aiwg/ralph/memory/embeddings/" reflections_path: type: string default: ".aiwg/ralph/memory/reflections/" embedding: type: object properties: model: type: string default: "all-MiniLM-L6-v2" dimensions: type: integer default: 384 retrieval: type: object properties: top_k: type: integer default: 3 description: "Number of similar tasks to retrieve" similarity_threshold: type: number minimum: 0 maximum: 1 default: 0.7 max_age_days: type: integer default: 90 description: "Ignore tasks older than this" injection: type: object properties: inject_reflections: type: boolean default: true inject_summary: type: boolean default: true max_tokens: type: integer default: 2000 description: "Max tokens for cross-task context" # Task memory record schema task_memory: type: object required: - task_id - task_description - timestamp properties: task_id: type: string format: uuid task_description: type: string task_type: type: string enum: - implementation - debugging - refactoring - testing - documentation - architecture - research timestamp: type: string format: date-time embedding_path: type: string outcome: type: string enum: [success, partial, failure] iterations: type: integer final_quality: type: number reflections: type: array items: $ref: "#/$defs/Reflection" key_learnings: type: array items: type: string tags: type: array items: type: string Reflection: type: object properties: iteration: type: integer content: type: string type: type: string enum: - error_analysis - strategy_change - success_pattern - constraint_discovery effectiveness: type: string enum: [helpful, neutral, unhelpful] # CLI configuration schema cli_options: memory_flag: name: "--memory" short: "-m" type: integer default: 3 help: "Memory capacity (Ω): number of reflections to keep in context" examples: - command: "aiwg ralph 'Fix tests' --memory 1" description: "Simple task, minimal memory" - command: "aiwg ralph 'Refactor module' --memory 3" description: "Moderate task, default memory" - command: "aiwg ralph 'Redesign architecture' --memory 5" description: "Complex task, extended memory" cross_task_flag: name: "--cross-task" type: boolean default: true help: "Enable cross-task learning from similar past tasks" examples: - command: "aiwg ralph 'Implement auth' --cross-task" description: "Learn from similar past tasks" - command: "aiwg ralph 'Implement auth' --no-cross-task" description: "Disable cross-task learning" # Agent protocol agent_protocol: memory_window: description: "Maintain sliding window of reflections" steps: - get_memory_capacity - load_recent_reflections - trim_to_window_size - inject_into_context cross_task_retrieval: description: "Retrieve reflections from similar past tasks" triggers: - ralph_start steps: - extract_task_description - generate_embedding - search_similar_tasks - filter_by_threshold - load_reflections - summarize_if_needed - inject_into_context task_memory_update: description: "Store task for future cross-task learning" triggers: - ralph_complete steps: - generate_task_embedding - extract_key_learnings - store_reflections - update_task_index - prune_old_entries auto_scaling: description: "Automatically adjust memory capacity" triggers: - consecutive_failures - quality_threshold_breach steps: - analyze_performance - determine_scale_direction - adjust_capacity - log_adjustment # Performance impact tracking performance_tracking: metrics: - cross_task_retrieval_count - cross_task_success_rate - memory_capacity_used - reflection_helpfulness - iterations_saved comparison: description: "Track impact of cross-task learning" baseline: "no cross-task learning" treatment: "with cross-task learning" measures: - iterations_to_completion - final_quality_score - time_to_completion # Research targets (from REF-021) research_targets: memory_capacity: simple_tasks: 1 moderate_tasks: 3 complex_tasks: 5 cross_task_benefit: "improved success rates on similar tasks" reflection_types: - error_analysis - strategy_adjustment - constraint_discovery # Default configuration defaults: memory_capacity: 3 cross_task_enabled: true retrieval_top_k: 3 similarity_threshold: 0.7 # References references: research: - "@.aiwg/research/findings/REF-021-reflexion.md" implementation: - "#154" # Cross-task learning - "#155" # Memory capacity (Ω) related: - "@tools/ralph-external/" - "@.aiwg/ralph/memory/" - "@agentic/code/frameworks/sdlc-complete/schemas/research/semantic-retrieval.yaml"