Enterprise-Grade AI Memory
Persistent Memory
SQLite-backed storage with WAL mode. AI remembers across sessions with zero data loss.
Prompt Caching
In-memory cache with auto-invalidation on writes. Sub-millisecond responses for read-heavy workloads.
Full-Text Search
FTS5 search engine across sessions, quests, and data. Instant results at any scale.
AES-256 Encryption
Military-grade AES-256-GCM encryption for sensitive data at rest.
Usage & Cost Tracking
Real-time token tracking, cache hit rates, and cost estimation. Know exactly what you spend.
MCP Protocol
Native Model Context Protocol with cache_control hints for Anthropic prompt caching.
Data Lake
Batch insert/query operations with category-based organization. No limits on storage.
Version Sync
Bi-directional sync with .wyrm/ markdown files. Git-friendly context management.
What's New
Wyrm v3.1 introduces prompt caching for sub-millisecond reads, real-time token usage tracking with cost estimation, and MCP cache_control hints for Anthropic models. Monitor every token, know exactly what you spend.
Built for Production
Sub-ms Cache
MemCache layer returns cached reads in <1ms. Auto-invalidates on any write operation.
Cost Optimization
Track input/output tokens, cache savings, and net cost per session. Budget your AI spend.
Token Tracking
Every tool call tracked — tokens in, tokens out, response time, cache hit/miss.
Quest Management
Task tracking with priorities, tags, and status. Project management built into your AI.
WAL Mode
Write-Ahead Logging for concurrent access. Multiple AI clients, one database, zero conflicts.
Enterprise Security
RBAC-ready architecture, audit logging, encrypted storage. Built for compliance.
Enterprise Plans
Contact sales for pricing and deployment options.
Team
Small teams getting started
Enterprise
Advanced features for scale
Enterprise Plus
High-security environments