Results for “memory-server”

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

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.

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

Maintain durable session memory across agent disconnects by writing structured checkpoints to the repo's session directory, enabling context recovery.

Persists context across sessions by compiling sources into a local SQLite store and markdown tree, then retrieves relevant memory via embedding search.

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

Compresses conversation transcripts into prioritized notes using an LLM observer, consolidates them when they grow, and recovers any missed sessions without a database or vector store.

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.