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l33tdawg/sage

v11.11.2 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 chore, sage-gui, and shell across a mixed release.

Full changelog

Sovereign Agent Governed Experience — persistent, governed memory for AI agents.

What's Changed

  • chore: integrate #103-#106 for a single combined CI run by @l33tdawg in https://github.com/l33tdawg/sage/pull/107
  • perf(ci): drop two dependency edges that carry no data by @l33tdawg in https://github.com/l33tdawg/sage/pull/103
  • test(sage-gui): pin the SAGE_HOME preconditions in the issue-52 heal test by @l33tdawg in https://github.com/l33tdawg/sage/pull/104
  • test(sage-gui): use t.Setenv for SAGE_HOME in migrate tests by @l33tdawg in https://github.com/l33tdawg/sage/pull/105
  • fix(shell): stop authenticode diagnostics failing the Windows smoke by @l33tdawg in https://github.com/l33tdawg/sage/pull/106
  • chore: integrate #108-#110 for a single combined CI run by @l33tdawg in https://github.com/l33tdawg/sage/pull/111
  • fix(cerebrum): stop the optimistic kanban re-sort disagreeing with the server by @l33tdawg in https://github.com/l33tdawg/sage/pull/108
  • feat(cerebrum): show which selective-sync selectors are still waiting by @l33tdawg in https://github.com/l33tdawg/sage/pull/109
  • feat(shell): measure and enforce the shell RSS budget on macOS by @l33tdawg in https://github.com/l33tdawg/sage/pull/110

Full Changelog: https://github.com/l33tdawg/sage/compare/v11.11.1...v11.11.2

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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]