disclose
Context assembly for AI age
Don't flood your context window. Retrieve exactly the learnings and documentation you need within a strict token budget.
Type: pattern | Confidence: 0.92 | Status: active
Always validate JWT tokens on server side...
Smart Context Management
Retrieve, bundle, and assemble context for AI workflows
Learning Retrieval
FTS5 full-text search with advanced filtering by domains, types, confidence, and status. Multiple output formats (Markdown, JSON) and sort options.
Token Budgeting
Specify a max token count. Disclose prioritizes most valuable context to fit your budget with smart truncation.
Context Bundling
Pack documentation, learnings, and file snippets into a single optimized context package with keyword-based slicing.
Session Context
Generate learning context for LLM session start injection with confidence-recency and relevance-based ranking strategies.
File Location
Intelligent file discovery across context, history, and skills domains. Search by query with token-budgeted ranking.
Index Management
Ensure catalog indexes exist with ensure-index. Build indexes for specific domains
with custom paths and validation.
Core Commands
Complete command reference for context management
Advanced Filtering
Precise control over learning retrieval
Domains Filter
Filter by knowledge domains for targeted retrieval
Types Filter
Select specific learning types (pattern, mistake, insight)
Confidence Filter
Retrieve only high-confidence learnings
Status Filter
Filter by learning status (active, deprecated, flagged)
Sort Options
Sort by relevance, date, or confidence (asc/desc)
Limit Results
Control maximum number of results returned
Installation
Bun Package
Integration with Hyphn Tools
# Capture a learning inscribe learning add \ --type pattern \ --summary "Bun native APIs for performance" \ --domains "bun,typescript" # Search learnings disclose learnings --query "bun performance" --domains bun # Generate session context disclose session-context --token-budget 800 --min-confidence 0.7