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l33tdawg/sage

v8.4.1 Bugfix

This release fixes issues for SREs watching stability and regressions.

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

Changes in this release

Bugfix Medium

Fixes watchdog plan naming to use app‑v<N> instead of binary version.

Fixes watchdog plan naming to use app‑v<N> instead of binary version.

Source: llm_adapter@2026-05-30

Confidence: high

Full changelog

SAGE v8.4.1

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

  • c70fff897fcfee0bc4cc0f2ae136d406a8a6cbab docs(reference): re-verify consensus-confidence-decay.md through v8.2–v8.4 forks
  • 3f7ccf11392593a7639ea84bb70c1037f57f6fc1 docs(v8.4.1): watchdog plan-naming fix; bump SDK 8.4.0 -> 8.4.1
  • f72acb9bd406a655fbfe52cccea16755dde402ad fix(upgrade): watchdog must name plans app-v, not the binary version

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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]