l33tdawg/sage

v10.5.1 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agentic-ai artificial-intelligence bft-consensus bft-network distributed-systems governance

Summary

AI summary

Updates Quick Start (sage-gui) ```bash, sage-gui, and upgrade across a mixed release.

Changes in this release

Type	Severity	Summary	CVE
Feature	Low	Adds personal-mode auto‑advance ladder, updater UX improvements, and idle‑flush snapshots. Adds personal-mode auto‑advance ladder, updater UX improvements, and idle‑flush snapshots. Source: llm_adapter@2026-06-11 Confidence: high	—
Dependency	Low	Bumps SDK version from 10.5.0 to 10.5.1. Bumps SDK version from 10.5.0 to 10.5.1. Source: llm_adapter@2026-06-11 Confidence: high	—
Bugfix	Medium	Fixes consensus crash replay and enforces halt on AppHash failure. Fixes consensus crash replay and enforces halt on AppHash failure. Source: llm_adapter@2026-06-11 Confidence: low	—

Full changelog

SAGE v10.5.1

Sovereign Agent Governed Experience — persistent, governed memory for AI agents.

Quick Start (sage-gui)

# Download and extract for your platform, then:
./sage-gui setup    # Interactive setup wizard
./sage-gui serve    # Start your personal memory node

See the README for full documentation.

Changelog

5b0a0f64332af80acaac1a6fa3c0eb92db6e0d45 feat(upgrade): personal-mode auto-advance ladder; updater TCC/restart UX; idle-flush snapshots; papercuts
af518b2f24abff3142078653dddb9360a0996d7d fix(consensus): app-v13 corrects the app-v12 AppHash rule; crash-replay version re-emit; halt on hash failure
04603b4ab5e8983ea4534a637ac8781c88571ee1 release(v10.5.1): app-v13 corrected AppHash rule + upgrade auto-advance; bump SDK 10.5.0 -> 10.5.1

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About l33tdawg/sage

Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.

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