This release fixes issues for SREs watching stability and regressions.
✓ No known CVEs patched in this version
Topics
Summary
AI summaryUpdates Quick Start (sage-gui) ```bash, store, and sage-gui across a mixed release.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Performance | Medium |
Improves ComputeAppHash by dropping value prefetch, achieving O(1) per-block allocation. Improves ComputeAppHash by dropping value prefetch, achieving O(1) per-block allocation. Source: llm_adapter@2026-05-27 Confidence: high |
— |
| Bugfix | Medium |
Fixes stream-hash ComputeAppHash to drop O(state) per-block allocation. Fixes stream-hash ComputeAppHash to drop O(state) per-block allocation. Source: llm_adapter@2026-05-27 Confidence: high |
— |
| Bugfix | Medium |
Fixes governance and ancestor walk issues from v8.0 cleanup items. Fixes governance and ancestor walk issues from v8.0 cleanup items. Source: llm_adapter@2026-05-27 Confidence: high |
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Full changelog
SAGE v8.1.2
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
- 6e3c7508cf1af5aba9289515c46b5d002737fb32 ci(release): drop Actions Pages deploy of docs/ — site now lives on gh-pages
- aefbcb820915ab39052935bd767e06a7d8c15f6a docs(reference): add code-verified agent integration reference
- 7ee8d6ebfab3f42681e28242c870c14ab32bff42 fix(store): stream-hash ComputeAppHash — drop O(state) per-block alloc (#26) (#27)
- a69ab3b569ff0a3a68cf614ea1ab1bfbe54cfe44 fix(v8): governance + ancestor walks — three v8.0 cleanup items (#25)
- 2ef6de74094dfd28cd86cd403db2ca4efba3d369 perf(store): drop value prefetch in ComputeAppHash — O(1) per-block alloc (#26 follow-up)
- f2dafde5cf8be41284f32ca744a2e8271f9872fa release(v8.1.2): governance/ancestor cleanup + ComputeAppHash O(1)-per-block app hash
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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]