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l33tdawg/sage

v8.4.0 Feature

This release adds 2 notable features 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, v8.4, and sage-gui across a mixed release.

Changes in this release

Feature Medium

Adds domain-conditional quorum weight and drift-audit hardening (app-v5).

Adds domain-conditional quorum weight and drift-audit hardening (app-v5).

Source: llm_adapter@2026-05-29

Confidence: high

Bugfix Medium

Fixes surface classification exposure on GET /v1/memory/{id}.

Fixes surface classification exposure on GET /v1/memory/{id}.

Source: llm_adapter@2026-05-29

Confidence: high

Full changelog

SAGE v8.4.0

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

  • 6f21a98ae33a65802afe221bc930f1a4132614df docs(readme): promote v8.3 to What's New, demote v8.2
  • 1168a9036c17eec853d6bf8bba03bb3e41c1e06e docs(reference): clarify within-org reads are clearance-gated, grants additive
  • cae2507fb272c1b0267bb255ccde9b5e308da014 docs(v8.4): real domain factor closes last Phase-1 stub; bump SDK 8.3.0 -> 8.4.0
  • 7446274fcb31ddc38348e41b6ae35a851af9949d feat(v8.4): domain-conditional quorum weight + drift-audit hardening (app-v5)
  • 0d72d0e3cb5b3eca87200480232a55359ba777b3 fix(rest): surface classification on GET /v1/memory/{id}

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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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Beta — feedback welcome: [email protected]