l33tdawg/sage

v10.2.0 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

Affected surfaces

auth rbac

ReleasePort's take

Moderate signal

editorial:auto 1mo

Version v10.2.0 introduces per-domain read-ACL compartmentation across the agent read surface and enables content-validator arming.

Why it matters: Adds domain‑level access control (severity 90) to the agent read surface, tightening security for multi‑tenant deployments.

Summary

AI summary

Updates Quick Start (sage-gui) ```bash, sage-gui, and v10.2.0 across a mixed release.

Changes in this release

Type	Severity	Summary	CVE
Security	Critical	Adds per-domain read-ACL compartmentation across agent read surface and enables content-validator arming seam Adds per-domain read-ACL compartmentation across agent read surface and enables content-validator arming seam Source: llm_adapter@2026-06-06 Confidence: high	—
Security	High	Enables content-validator arming seam Enables content-validator arming seam Source: granite4.1:30b@2026-06-06-audit Confidence: low	—
Dependency	Medium	Bumps SDK version from 10.1.0 to 10.2.0 Bumps SDK version from 10.1.0 to 10.2.0 Source: granite4.1:30b@2026-06-06-audit Confidence: low	—

Full changelog

SAGE v10.2.0

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

4e45089237b61544db881502ae56cfe34cdac63d feat(security): per-domain read-ACL compartmentation across the agent read surface + content-validator arming seam
daf4cf0145d83beff2d8bdbe03adcdf49301efcf release(v10.2.0): read-ACL compartmentation sweep + content-validator arming seam; bump SDK 10.1.0 -> 10.2.0

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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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