Results for “memory-systems”

Persists and recalls agent knowledge across sessions using four approaches: static KB, company wiki, persistent memory, and session brain.

Organiza y guarda memoria en Engram automáticamente, clasificando cada conocimiento por tipo y área, y consultando el contexto al iniciar sesión.

Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Stores, retrieves, and curates persistent facts in a structured memory map, distinguishing between user facts and reference text.

Search conversation history and access Dream-managed profile and memory files without editing them.

Retrieve task-relevant project and global memory without loading everything. Load when the user asks what we decided, recall prior context, find memory about a feature, explain past rationale, resume a task, or check deferred ideas.

Indexes document metadata in SQLite and manages ephemeral key-value state in Redis for cross-session context.

Detects available memory tools and maps them to a structured memory system for cross-session recall, with file-based fallback.

Manages a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Guarda y consulta información en Engram automáticamente para mantener contexto entre sesiones, optimizando el uso de tokens y delegando exploración compleja.

For analysis/task/review agents using a Professional Skill on kernels, drivers, ABI/FFI, memory, concurrency, or syscalls; not for work without a native boundary.