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(S)AGE — Sovereign Agent Governed Experience

Persistent, consensus-validated memory infrastructure for AI agents.

SAGE gives AI agents institutional memory that persists across conversations, goes through BFT consensus validation, carries confidence scores, and decays naturally over time. Not a flat file. Not a vector DB bolted onto a chat app. Infrastructure — built on the same consensus primitives as distributed ledgers.

The architecture is described in Paper 1: Agent Memory Infrastructure.

Just want to install it? Download here — double-click, done. Works with any AI.


Architecture

Agent (Claude, ChatGPT, DeepSeek, Gemini, etc.)
  │ MCP / REST
  ▼
sage-gui
  ├── ABCI App (validation, confidence, decay, Ed25519 sigs)
  ├── App Validators (sentinel, dedup, quality, consistency — BFT 3/4 quorum)
  ├── CometBFT consensus (single-validator or multi-agent network)
  ├── SQLite + optional AES-256-GCM encryption
  ├── CEREBRUM Dashboard (SPA, real-time SSE)
  └── Network Agent Manager (add/remove agents, key rotation, LAN pairing)

Personal mode runs a real CometBFT node with 4 in-process application validators — every memory write goes through pre-validation, signed vote transactions, and BFT quorum before committing. Same consensus pipeline as multi-node deployments. Add more agents from the dashboard when you're ready.

Full deployment guide (multi-agent networks, RBAC, federation, monitoring): Architecture docs


CEREBRUM Dashboard

CEREBRUM — Neural network memory visualization

http://localhost:8080/ui/ — force-directed neural graph, domain filtering, semantic search, real-time updates via SSE.

Network Management

Network — Multi-agent management

Add agents, configure domain-level read/write permissions, manage clearance levels, rotate keys, download bundles — all from the dashboard.

Settings

Overview

Security

Configuration

Update

Overview

Security

Config

Update

Chain health, peers, system status

Synaptic Ledger encryption, export

Boot instructions, cleanup, tooltips

One-click updates from dashboard


What's New in v4.0

  • 4 Application Validators — Every memory now passes through 4 in-process validators before committing: Sentinel (baseline accept, ensures liveness), Dedup (rejects duplicate content by SHA-256 hash), Quality (rejects noise — greeting observations, short content, empty headers), Consistency (enforces confidence thresholds, required fields). Quorum requires 3/4 accept (BFT 2/3 threshold).

  • Pre-Validation EndpointPOST /v1/memory/pre-validate dry-runs all 4 validators without submitting on-chain. Returns per-validator decisions and quorum result. MCP tools use this to reject low-quality memories before they hit the chain.

  • Memory Quality Gatessage_turn filters low-value observations (greeting noise, short content). sage_reflect detects similar existing memories and skips duplicates. Boot safeguard dedup prevents the same inception reminder from accumulating across sessions.

  • Upgrade Cleanup — On upgrade from v3.x, automatically deprecates duplicate boot safeguards, noise observations, very short memories, and content-hash duplicates. SQLite is backed up first. ~25-30 noisy memories cleaned per typical install.

v3.6

  • Brain Graph Click-to-Focus — Click any memory bubble to focus its domain group. Others fade out while focused memories arrange in a timeline row sorted by creation date. Click again to view detail, click empty space to exit.

  • Interactive Timeline — Click time buckets at the bottom of the brain graph to filter memories by time range. Multi-select hours to narrow down. Clear button to reset.

  • Draggable Stats Panel — Grab the "Memory Stats" header to reposition the panel anywhere. Position persists between sessions. Resize horizontally with the drag handle.

  • Chain Activity Log — Collapsible real-time event stream at the bottom of every page. See memory stored/recalled/forgotten events and consensus votes as they happen. Drag the top edge to resize.

  • Agent Tab Ordering — Admin agents appear first in brain view tabs for faster access.

  • Renamed to SAGE GUI — Binary renamed from sage-lite to sage-gui. Upgrade migration handles old launchd plists automatically.

v3.5

  • On-Chain Agent Identity — Agent registration, metadata updates, and permission changes go through CometBFT consensus. Every identity operation is auditable, tamper-resistant, and federation-ready.

  • Auto-Registration — Agents self-register on-chain during their first MCP connection. No manual setup needed.

  • Visible Agents — Control which agents' memories each agent can see. Set per-agent visibility from the dashboard.

  • sage_register — Agents can register themselves programmatically via MCP.

  • Permission Enforcement — On-chain clearance levels and domain access are enforced on every memory operation, with BadgerDB as the source of truth.

  • Legacy Migration — Existing agents auto-migrate to on-chain identity on first boot after upgrade.

v3.0

  • Multi-Agent Networks — Add and manage agents from the CEREBRUM dashboard. Each agent gets signing keys, role, clearance level, and per-domain read/write permissions.

  • LAN Pairing — Generate a 6-character pairing code. New agents fetch their config over your local network in seconds.

  • Agent Key Rotation — Rotate agent credentials with one click. Memories are re-attributed atomically.

  • Redeployment Orchestrator — 9-phase state machine handles chain reconfiguration with rollback at every phase.

  • In-App Auto-Updater — Check for updates, download, and restart from the Settings page.

  • Boot Instructions — Customize what your AI does on startup from the admin dashboard.

  • Tabbed Settings — Overview, Security, Configuration, and Update tabs keep everything organized.

  • Brain Graph Search — Filter memories by content, domain, type, or agent. Only matching bubbles are shown.


Research

Paper

Key Result

Agent Memory Infrastructure

BFT consensus architecture for agent memory

Consensus-Validated Memory

50-vs-50 study: memory agents outperform memoryless

Institutional Memory

Agents learn from experience, not instructions

Longitudinal Learning

Cumulative learning: rho=0.716 with memory vs 0.040 without


Quick Start

git clone https://github.com/l33tdawg/sage.git && cd sage
go build -o sage-gui ./cmd/sage-gui/
./sage-gui setup    # Pick your AI, get MCP config
./sage-gui serve    # SAGE + Dashboard on :8080

Or grab a binary: macOS DMG (signed & notarized) | Windows EXE | Linux tar.gz


Documentation

Doc

What's in it

Architecture & Deployment

Multi-agent networks, BFT, RBAC, federation, API reference

Getting Started

Setup walkthrough, embedding providers, multi-agent network guide

Security FAQ

Threat model, encryption, auth, signature scheme

Connect Your AI

Interactive setup wizard for any provider


Stack

Go / CometBFT v0.38 / chi / SQLite / Ed25519 + AES-256-GCM + Argon2id / MCP


License

Code: Apache 2.0 | Papers: CC BY 4.0

Author

Dhillon Andrew Kannabhiran (@l33tdawg)


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security - not tested
A
license - permissive license
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quality - not tested

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