Results for “file-based-memory”

Build persistent multi-agent operating systems on Claude Code with kernel architecture, specialist agents, slash commands, file-based memory, and scheduled automation.

Structured memory system with domains, decay, and links for AI agents, replacing flat memory files with a weighted, interconnected memory palace.

Creates and maintains persistent markdown planning files that survive session resets by hooking into Claude Code's lifecycle.

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

Read, write, edit, list, copy, move, and search files directly using builtin tools, with fallback to Python or bash for complex operations.

Consolidates auto-memory files in ~/.claude/projects by auditing, planning, and executing a 4-phase cleanup with user approval.

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

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

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

Captures notes locally, organizes them by topic and project, and retrieves relevant notes on demand, including meeting preparation and idea synthesis.

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.

Uses the filesystem as a durable overflow layer for agent context, enabling scratch pads, plan persistence, sub-agent communication, dynamic skill loading, and log management.

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

Builds persistent multi-agent workflows on Claude Code using a kernel config, specialist agents, slash commands, file-based memory, and scheduled automation without external databases.