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l33tdawg/sage

v10.0.0 Feature

This release adds 3 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, app-v11, and sage-gui across a mixed release.

Changes in this release

Feature Medium

Adds deterministic activation-block chain-admin in app‑v11.

Adds deterministic activation-block chain-admin in app‑v11.

Source: llm_adapter@2026-06-05

Confidence: high

Feature Medium

Disables consensus-path SQL‑admin‑bootstrap in app‑v11.

Disables consensus-path SQL‑admin‑bootstrap in app‑v11.

Source: llm_adapter@2026-06-05

Confidence: high

Dependency Medium

Bumps SDK version from 9.2.4 to 10.0.0.

Bumps SDK version from 9.2.4 to 10.0.0.

Source: llm_adapter@2026-06-05

Confidence: high

Full changelog

SAGE v10.0.0

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

  • e87c18a5d3ccc686257be04c2f30a4dcc52fb908 feat(app-v11): activation-block deterministic chain-admin (#35) + consensus-path SQL-admin-bootstrap disable (#36) [WIP, not tag-ready]
  • 7f403cc6f0739f9fdc68af4e24db26c217efd3d0 release(v10.0.0): app-v11 — deterministic activation-block chain-admin (#35) + consensus-path SQL-admin-bootstrap disable (#36); bump SDK 9.2.4 -> 10.0.0
  • c928bca53d7a836cbdee130cc43e0eb6d1a704bb test(app-v11): 4-node cross-node AppHash-determinism gate for the app-v11 activation seam

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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]