SUM-008 Foresight signals and procedural skill memory - #77
Conversation
|
@codex review pwease |
![chatgpt-codex-connector[bot]](https://avatars.githubusercontent.com/in/1144995?s=60&v=4){kind=small}
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 6e233908fe
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: b356a5ed05
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: e971f39814
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 12804439bb
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 1a65c363d6
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: c237c346ba
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
|
You have reached your Codex usage limits for code reviews. You can see your limits in the Codex usage dashboard. |
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 4c18b73dff
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 6a6c52e67e
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: ef0391799f
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 503d602fee
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
@codex review |
|
Codex Review: Didn't find any major issues. Keep them coming! Reviewed commit: ℹ️ About Codex in GitHubYour team has set up Codex to review pull requests in this repo. Reviews are triggered when you
If Codex has suggestions, it will comment; otherwise it will react with 👍. Codex can also answer questions or update the PR. Try commenting "@codex address that feedback". |
* memory: baseline temporal memory audit * memory: address baseline review feedback * memory: reset kg vault restore sequences * memory: fix default sleep cursor runtime factory * memory: guard sleep cursor on candidate backlog * memory: include extraction failures in sleep cursor guard * SUM-002 evidence baseline and episode quality (#68) * memory: add evidence audit and episode quality safeguards * SUM-003 temporal knowledge graph v2 (#70) * memory: add temporal knowledge graph v2 * memory: fix temporal kg review regressions * api: filter superseded graph relations * db: repair legacy kg schema columns * memory: preserve kg alias reads and confidence * memory: resolve kg context aliases * memory: resolve kg alias pruning * memory: filter kg pruning candidates * db: guard legacy kg downgrade * memory: prevent kg self supersession * SUM-004 structured user profile (#71) * memory: add structured user profile * memory: address profile review feedback * memory: invalidate profile cache after forget * memory: hard-delete forgotten profile state * memory: preserve profile fields with surviving evidence * memory: link profile forget cleanup to runtime provenance * memory: narrow runtime profile forget provenance * memory: preserve manual profile corrections * memory: reject forgotten profile candidates * memory: canonicalize profile corrections * memory: narrow profile claim reconciliation * memory: tighten profile forget matching * memory: preserve profile vault state * memory: dedupe claim profile reconciliation * memory: restore profile vault links safely * memory: delete profile evidence on forget * memory: preserve newer profile reconciliation * memory: return bad request for blank profile corrections * memory: preserve profile candidate timestamps * memory: scope profile forget cleanup * memory: prioritize profile prompt block * memory: truncate profile prompt lines * memory: restore prior profile on forget * SUM-006 add salience-aware decay and soft evolution (#75) * memory: add salience-aware decay * memory: address salience review comments * memory: refresh heat after salience reinforcement * memory: preserve neutral salience heat defaults * memory: preserve duplicate candidate salience * memory: refresh promoted duplicate candidate evidence * memory: preserve candidate audit history * memory: repair legacy salience schema * memory: rebase salience migrations * memory: preserve zero evidence strength restore * memory: update duplicate reinforcement test * memory: mark reinforced candidates distinctly * memory: treat reinforced candidates as terminal * SUM-007 Cross-episode pattern synthesis (#76) * memory: synthesize cross-episode patterns * memory: tighten pattern synthesis prompt wording * docs: record SUM-007 full-suite result * memory: skip duplicate pattern evidence * memory: decrypt pattern episode arcs * memory: address pattern synthesis review * memory: clean stale pattern synthesis references * memory: clean deleted pattern indexes * memory: decrypt pattern evidence for forget cleanup * memory: delete derived pattern evidence * SUM-008 Foresight signals and procedural skill memory (#77) * memory: add foresight and procedural learning * memory: fix foresight review regressions * memory: address foresight and skill review follow-ups * memory: fix foresight extraction and cluster state review * memory: prioritize dated foresight in prompts * memory: address timezone and resume review * memory: use local dates for foresight views * memory: redact procedural tool outputs * memory: address foresight and procedural review * memory: cover vault review fixes * memory: tighten foresight cancellation matching * memory: add optional retrieval adapter seams (#78) * memory: add memory v2 package boundary * memory: rename package boundary * memory: add retrieval router plans * docs: plan memory package boundary hardening * memory: clean durable rows on reset and forget * docs: add memory architecture diagrams * memory: align salience evidence contract * memory: narrow foresight forget cleanup * vault: defer kg relation self-links on import
* memory: baseline temporal memory audit * memory: address baseline review feedback * memory: reset kg vault restore sequences * memory: fix default sleep cursor runtime factory * memory: guard sleep cursor on candidate backlog * memory: include extraction failures in sleep cursor guard * SUM-002 evidence baseline and episode quality (#68) * memory: add evidence audit and episode quality safeguards * SUM-003 temporal knowledge graph v2 (#70) * memory: add temporal knowledge graph v2 * memory: fix temporal kg review regressions * api: filter superseded graph relations * db: repair legacy kg schema columns * memory: preserve kg alias reads and confidence * memory: resolve kg context aliases * memory: resolve kg alias pruning * memory: filter kg pruning candidates * db: guard legacy kg downgrade * memory: prevent kg self supersession * SUM-004 structured user profile (#71) * memory: add structured user profile * memory: address profile review feedback * memory: invalidate profile cache after forget * memory: hard-delete forgotten profile state * memory: preserve profile fields with surviving evidence * memory: link profile forget cleanup to runtime provenance * memory: narrow runtime profile forget provenance * memory: preserve manual profile corrections * memory: reject forgotten profile candidates * memory: canonicalize profile corrections * memory: narrow profile claim reconciliation * memory: tighten profile forget matching * memory: preserve profile vault state * memory: dedupe claim profile reconciliation * memory: restore profile vault links safely * memory: delete profile evidence on forget * memory: preserve newer profile reconciliation * memory: return bad request for blank profile corrections * memory: preserve profile candidate timestamps * memory: scope profile forget cleanup * memory: prioritize profile prompt block * memory: truncate profile prompt lines * memory: restore prior profile on forget * SUM-006 add salience-aware decay and soft evolution (#75) * memory: add salience-aware decay * memory: address salience review comments * memory: refresh heat after salience reinforcement * memory: preserve neutral salience heat defaults * memory: preserve duplicate candidate salience * memory: refresh promoted duplicate candidate evidence * memory: preserve candidate audit history * memory: repair legacy salience schema * memory: rebase salience migrations * memory: preserve zero evidence strength restore * memory: update duplicate reinforcement test * memory: mark reinforced candidates distinctly * memory: treat reinforced candidates as terminal * SUM-007 Cross-episode pattern synthesis (#76) * memory: synthesize cross-episode patterns * memory: tighten pattern synthesis prompt wording * docs: record SUM-007 full-suite result * memory: skip duplicate pattern evidence * memory: decrypt pattern episode arcs * memory: address pattern synthesis review * memory: clean stale pattern synthesis references * memory: clean deleted pattern indexes * memory: decrypt pattern evidence for forget cleanup * memory: delete derived pattern evidence * SUM-008 Foresight signals and procedural skill memory (#77) * memory: add foresight and procedural learning * memory: fix foresight review regressions * memory: address foresight and skill review follow-ups * memory: fix foresight extraction and cluster state review * memory: prioritize dated foresight in prompts * memory: address timezone and resume review * memory: use local dates for foresight views * memory: redact procedural tool outputs * memory: address foresight and procedural review * memory: cover vault review fixes * memory: tighten foresight cancellation matching * memory: add optional retrieval adapter seams (#78) * memory: add memory v2 package boundary * memory: rename package boundary * memory: add retrieval router plans * docs: plan memory package boundary hardening * memory: clean durable rows on reset and forget * docs: add memory architecture diagrams * memory: align salience evidence contract * memory: narrow foresight forget cleanup * vault: defer kg relation self-links on import
1 participant
Summary
memory_itemscan reach metadata repair.Affected Areas
Stack
codex/sum-001-memory-baseline.Validation
ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run test:server apps/server/tests/test_foresight.py apps/server/tests/test_agent_experience.py- 8 passed, 8 warnings.ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run test:server apps/server/tests/test_agent_memory_blocks.py apps/server/tests/test_prompt_budget.py apps/server/tests/test_sleep_agent.py apps/server/tests/test_agent_service.py- 64 passed, 24 warnings.ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run test:server -- --maxfail=1 -q- 1775 passed, 1 skipped, 310 warnings.ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run test:server apps/server/tests/test_agent_memory_blocks.py- 7 passed, 6 warnings after formatting cleanup.ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run lint:server- passed.ANIMA_CORE_REQUIRE_ENCRYPTION=false bun run build- passed with existing Vite chunk-size warning.bun run db:server:heads-20260703_0002 (head).git diff --cached --check- passed.ANIMA_CORE_REQUIRE_ENCRYPTION=false uv run --project apps/server python -- health smoke forGET /health: 200 ok.