(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.

<a href="https://glama.ai/mcp/servers/l33tdawg/s-age"> <img width="380" height="200" src="https://glama.ai/mcp/servers/l33tdawg/s-age/badge" alt="(S)AGE MCP server" /> </a>

---

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

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

Network 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
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 Endpoint — POST /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 Gates — sage_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 MCP Tool — 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)

---

<p align="center"><em>A tribute to <a href="http://phenoelit.darklab.org/fx.html">Felix 'FX' Lindner</a> — who showed us <b>how much further curiosity can go.</b></em></p>