Tags give the ability to mark specific points in history as being important
-
-
v0.15.0
6980705f · ·opencode-memory 0.15.0 Ships the weak/free-model compaction mitigation (#158, MRs !140+!141): - Model-class classification (cost.input===0) gating all mitigations - Anti-confabulation compaction guard for weak models - Post-compaction ground-truth re-injection from memory - get_ground_truth server tool (decisions independent of boot toggle)
-
-
v0.13.0
b60cc940 · ·Release v0.13.0 Watchers: gitlab_entity kind for event-conditional queue deferment (#141). Reconciles the missing tag for the 0.13.0 CHANGELOG entry.
-
v0.13.1
e2d95ada · ·Release v0.13.1 Opt-in auto-updates with tiered consent, MCP tool-surface change detection, and rollback (#152).
-
v0.12.0
a9575e06 · ·v0.12.0 Reconciled release folding the never-tagged 0.11.1-0.11.5 versions and the previously unreleased 0.12.0 feature set into a single tagged release. See CHANGELOG.md for the full 0.12.0 entry.
-
v0.11.0
6bc60a1c · ·v0.11.0 Secret-guard hybrid reversible redaction, background job visibility, OpenCode DB lifecycle maintenance (#120), memory_status operational stats (#121), runaway-I/O fixes (#117 #118 #119), datetime tz normalization, and /stats performance (catches PyPI up from 0.10.0).
-
v0.10.0
65bf4d4a · ·v0.10.0 - health-gated background-worker autoscaler (#112) + queue due-dates, lazy startup, bg-subagent write-capability fixes
-
v0.9.2
985add25 · ·v0.9.2 - comprehensive event-loop offload fix + regression guard tests (ruff ASYNC + event-loop safety tests)
-
v0.9.1
2ada3af4 · ·v0.9.1 - reliability patch: get_context SAME_ENTITY links (!29), /stats fast+non-blocking (!24), /stats+/metrics off event loop (!30)
-
-
-
-
-
v0.8.2
270635c5 · ·release: v0.8.2 - injection effectiveness tracking and workspace auto-init - Injection effectiveness analysis module for tracking context impact - Auto-register workspace on boot context (implicit workspace initialization) - Relevance filtering with MIN_RELEVANCE_THRESHOLD (0.35) - Heuristic and LLM-based reanalysis for injection quality
-
v0.8.1
38e19008 · ·release: v0.8.1 - injection effectiveness tracking - Injection effectiveness analysis module for tracking context impact - Auto-register workspace on boot context (implicit workspace initialization) - Relevance filtering with MIN_RELEVANCE_THRESHOLD (0.35) - Heuristic and LLM-based reanalysis for injection quality
-
-
-
-
v0.6.1
f8e07cfe · ·v0.6.1 - Documentation alignment and fixes - Documentation alignment: 17 fixes across all docs - Updated BOOTSTRAP.md for auto-injection vs manual workflow - Added HTTP endpoints section to ARCHITECTURE.md - Added missing tool tables (Reminders, Knowledge Graph, Code Indexing, GitLab Spider, Analytics) - Documented unified context_events table migration - Updated tool count from 25+ to 45+ - Various doc fixes for Python version, memory age format, SKIP_BOOTSTRAP env var See v0.6.0 for the main feature release.