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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"