# L33tdawg Sage Sage

> SAGE Memory — Persistent Brain for AI Agents

- Skill: `tomevault-io/l33tdawg-sage-sage` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/l33tdawg-sage-sage`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/l33tdawg-sage-sage/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/l33tdawg-sage-sage

---


# SAGE Memory — Persistent Brain for AI Agents

You have persistent institutional memory via SAGE — a governed, consensus-validated knowledge layer.
Your memories are not a flat file. They go through BFT consensus, have confidence scores, and decay
over time. Only committed memories are returned to you.

## Data & Privacy Disclosure

This skill enables **persistent memory storage** for AI agents. By design:

- **What is stored**: Observations you write via `sage_turn` and `sage_remember` — typically summaries
  of conversation topics, task outcomes, and user preferences. The agent decides what to store; raw
  conversation transcripts are NOT automatically captured.
- **Where data lives**: All data is stored **locally** on your machine in `~/.sage/data/sage.db` (SQLite).
  Nothing is sent to any cloud service. SAGE runs entirely on localhost.
- **Persistence**: Memories survive across conversations. This is the core purpose of the skill.
  Memories decay over time unless reinforced, and can be explicitly deleted via `sage_forget`.
- **Configuration**: The `.mcp.json` file (generated by `sage-gui mcp install`) contains only the
  localhost URL and tool definitions for connecting to your local SAGE server. It contains no
  credentials, API keys, or sensitive tokens.
- **Boot instructions**: `sage_inception` returns operating instructions from your local SAGE server
  (not from any remote service). These instructions tell the agent how to use the memory tools
  effectively. You can customize them via the CEREBRUM dashboard at `http://localhost:8080/ui/`.
- **Encryption**: SAGE supports optional at-rest encryption (Synaptic Ledger) for all stored memories,
  enabled via the CEREBRUM dashboard settings.
- **Agent registration**: The skill registers the agent's identity (a random Ed25519 public key) with
  the local SAGE node. This is used for memory attribution, not for tracking.

## Boot Sequence (MANDATORY)

On the **first message of every new conversation**, before responding to the user:

1. Call `sage_inception` — this checks if your memory is online and returns your operating instructions
2. Do this before replying, so the user's stored context is loaded from the start.
3. After inception, follow the instructions it returns.

## Every Turn

Call `sage_turn` every turn with:
- `topic`: what the current conversation is about (used for contextual recall)
- `observation`: what just happened — the user's request and key points of your response
- `domain`: a specific knowledge domain (see Domains below)

This atomically recalls relevant committed memories AND stores your episodic observation.
Like human memory — you build understanding turn by turn.

## Domains

Create domains **organically** based on what you're working on. Don't dump everything into `general`.

Examples:
- Debugging Go code → `go-debugging`
- Discussing architecture → `project-architecture`
- Working on CI/CD → `ci-cd`
- User preferences → `user-preferences`

Specific domains = better recall.

## Memory Types

When using `sage_remember`:
- **fact** (confidence 0.95+): verified truths — architecture decisions, confirmed behaviors
- **observation** (confidence 0.80+): things noticed — patterns, preferences, what worked/failed
- **inference** (confidence 0.60+): conclusions drawn — hypotheses, connections between facts

## Core Tools

| Tool | Purpose |
|------|---------|
| `sage_inception` | Initialize your memory session. Call first in every new session. |
| `sage_turn` | Per-turn memory cycle. Recalls + stores atomically. |
| `sage_remember` | Store a new memory with content, type, domain, and confidence. |
| `sage_recall` | Retrieve memories by topic and/or domain. |
| `sage_reflect` | After tasks, store dos and don'ts. Both make you better. |
| `sage_forget` | Deprecate a memory by ID. |
| `sage_list` | List memories with filters (domain, type, status). |
| `sage_timeline` | View memory activity over time. |
| `sage_status` | Check brain health — memory counts, domains, last activity. |
| `sage_register` | Register this agent with the SAGE node. |
| `sage_task` | Create/update tasks for tracking work. |
| `sage_backlog` | View pending tasks. |
| `sage_red_pill` | Deprecated alias for sage_inception. |

## Reflection (After Tasks)

After completing significant tasks, call `sage_reflect` with:
- `dos`: what worked well (reinforces good patterns)
- `donts`: what failed or should be avoided (prevents repeating mistakes)
- `task_summary`: brief description of what was done
- `domain`: relevant domain

This feedback loop is critical — it was empirically validated (rho=0.716 with memory vs rho=0.040 without).

## Before Destructive Actions

Call `sage_recall` with topic `critical lessons` to check for known pitfalls before:
- Deleting files, branches, or data
- Force-pushing or resetting state
- Running destructive commands

## Installation

1. Download SAGE from [the releases page](https://github.com/l33tdawg/sage/releases)
2. Run the installer (macOS DMG, Windows EXE, or Linux tarball)
3. Start the server: `sage-gui serve`
4. Run `sage-gui mcp install` in your project directory to generate `.mcp.json`, then restart your session

You can review the generated `.mcp.json` — it contains only the localhost connection URL and MCP tool
definitions. No credentials or API keys are included.

## Key Principles

- **Knowledge persists across sessions** — recall it, build on it, and keep it current.
- **Local-only**: all data stays on your machine. No cloud, no telemetry, no tracking.
- **Consensus-validated**: every memory goes through BFT validation before committing.
- **Confidence scores**: memories carry confidence that can be strengthened through corroboration.
- **Natural decay**: memories decay over time unless reinforced — just like human memory.
- **Domain isolation**: organize knowledge by topic for precise recall.
- **User control**: memories can be viewed, edited, and deleted via the CEREBRUM dashboard or API.

---
> Source: [l33tdawg/sage](https://github.com/l33tdawg/sage) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-29 -->

