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l33tdawg/sage

v11.7.2 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ 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, cerebrum, and sage-gui across a mixed release.

Changes in this release

Feature Low

Restores signed macOS background updates for SAGE v11.7.2 releases

Restores signed macOS background updates for SAGE v11.7.2 releases

Source: llm_adapter@2026-07-15

Confidence: high

Bugfix Medium

Restores access navigation and page scrolling in cerebrum UI

Restores access navigation and page scrolling in cerebrum UI

Source: llm_adapter@2026-07-15

Confidence: high

Bugfix Medium

Stops settings render hot loop in cerebrum component

Stops settings render hot loop in cerebrum component

Source: llm_adapter@2026-07-15

Confidence: high

Bugfix Low

Installs updates from release banner in cerebrum

Installs updates from release banner in cerebrum

Source: granite4.1:30b@2026-07-15-audit

Confidence: low

Full changelog

SAGE v11.7.2

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

  • ec2c7dde2b79d63cc4cafe6917cb2997f0db853d fix(cerebrum): install updates from release banner
  • 195c397bb8f41a9a9ceff3b79dccf75be1f14e04 fix(cerebrum): restore access nav and page scrolling
  • fce1a37c3b305daefff318853bf22ed6e6549cb3 fix(cerebrum): stop settings render hot loop
  • 83f352d8c968a7629ba56f221d5b6438afa1df7b release(v11.7.2): restore signed macOS background updates

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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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Related context

Beta — feedback welcome: [email protected]