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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

agent-framework agent-orchestration ai-infra ai-interface context-engineering context-management
+4 more
go long-horizon-agents long-horizon-intelligence rust

Affected surfaces

breaking_upgrade

Summary

AI summary

Explicit one‑lane controls added to the experimental spike-lab feature.

Full changelog

ContextLattice v3.3.1

Release date: 2026-04-02

This release packages the full commit train since v3.3.0 and adds explicit public-facing spike-lab guardrails.

Summary

  • Public startup defaults remain unchanged: COMPOSE_PROFILES=core,llm,observability.
  • spike-lab stays available for advanced operators, but now has explicit one-lane controls:
    • gmake mem-spike-ls
    • gmake mem-spike-up SPIKE_LANE=<lane>
    • gmake mem-spike-down SPIKE_LANE=<lane>
  • Benchmark transparency is now called out directly in docs:
    • bench/results/backend_lane_matrix_latest.json
    • bench/results/memory_bank_spike_direct_matrix_latest.json
    • docs/perf_v3_spike_matrix.md

Included commits since v3.3.0

  • 8b93104 fix: harden env alias sync and stabilize go-runtime continuation status (#121)
  • 90e40f6 sync(public): apply mongo_raw+mindsdb go-native cutover + metadata contract (#122)
  • 87f799e feat(gateway-go): make telemetry metrics/retrieval/trading routes go-native (#123)
  • aa8836c fix(public): restore gateway-go/dashboard docker build integrity (#124)
  • docs/ops: enforce public spike-lab one-lane guardrails + release transparency (this release commit)

Operator notes

  • If you do not need benchmarking, do not enable spike-lab.
  • If you do need benchmarking, run one spike lane at a time and leave Docker VM RSS guard enabled.
  • Runtime behavior for default users is unchanged from v3.3.0.

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About sheawinkler/ContextLattice

Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.

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Beta — feedback welcome: [email protected]