fix(sdk): implement f.memory.learn so findings persist across runs by khaliqgant · Pull Request #641 · AgentWorkforce/flows

khaliqgant · 2026-10-10T02:50:30Z

Root cause

f.memory.learn never had an implementation. authoredMemory().learn() in packages/sdk/src/authored-memory.ts was a hard-coded stub that threw unsupported_verb. ai-hist 0.4.1 only exposes reads and tag writes, with no trajectory writer, so the write slice was deferred. Recall worked; any flow that tried to remember something crashed.

Fix

The journal comes first, then the file (principal decision: ship with the journal):

learn(finding) stages the finding's compacted trajectory file under a temporary name that no read lists. Disk failures such as space or permissions happen here, before anything is journaled.
It commits the finding to the durable root run's memory-learn stream. That is stream.append, journaled by the kernel under the run lock.
Only then is the file renamed into place. Nothing is recallable that the journal does not record.

How the file and commit relate:

Citation. The file cites its commit (journal: {runId, stream, id}) and is derived only from it.
Competing attempts. After appending, the ledger re-reads the stream and publishes the first commit for that finding. Attempts racing on one root therefore converge on the same bytes.
Resume. A resumed body that re-runs learn finds the commit and publishes it without journaling again.
Body failure. A failed body waits for in-flight learns before handing the root back.
Journal errors propagate unchanged, so a read interruption or lost lease leaves the root resumable. A failed stream read is not cached.

Durable root run ID. Every flows run path already drives the body under a kernel root: driveRoot passes dispatch.run_id, and the Node child entry forwards it. learn requires that root and refuses with memory_unjournaled without one, rather than write unrecorded memory.

File location. Files go to <db-dir>/flows-memory/<scope-hash>/.trajectories/compacted/<id>.json, beside the ai-hist DB, so a flow deployed from a read-only checkout, package or image can still learn. The id hashes scope + finding, so re-learning a finding atomically replaces one file. The file takes the DB's mode. The ai-hist DB itself is never modified, so there is no lock and no race with ai-hist sync.

Reads. recall and why read the DB plus the scope's learned files, so the next run sees a finding without a sync. Once ai-hist has synced a finding, the DB row is returned and the disk copy is dropped. recall honours source/tag/beforeMs/limit for unsynced entries, and a negative id marks an entry read from disk. A damaged learned file (unparseable or the wrong shape) fails the read with memory_unreachable instead of being skipped. learn only stats the DB for its mode; it never loads it.

Fails closed:

memory.script: false → unsupported_header.
Malformed finding → memory_finding_invalid.
Staging or publish failure → memory_unwritable; a journal failure surfaces as the journal's own error, and nothing is published.
A learn whose outcome the body never consumed (pending or already settled) → the run fails with unawaited_step.
flows run / flows resume report the memory codes, including memory_unreachable, as their own diagnostic kinds and name the failed root run.

Docs. docs/SURFACE.md, testdata/memory/README.md and the surface type comment are updated. AUTHORING.md is regenerated, which also picks up drift already on main from #636.

Tests

tests/f-memory.test.ts (29 pass)
- Journal order: no published file exists at append time, and the file cites its commit.
- Resume: a file lost after the commit is republished byte-identical with no second record.
- Competing attempts converge on the first commit; concurrent learns of one finding produce one record.
- Failure paths: a journal failure passes through unchanged and publishes nothing; a failed stream read is retried, not cached; a failed body waits for an in-flight learn; with no root run → memory_unjournaled.
- Reads: deduplication after a simulated sync; recall options on unsynced entries; damaged files of four shapes fail closed.
- Placement and mode: files stay out of the source directory and take the DB's mode.
- Unawaited learns: pending and already-failed calls both fail the run, while an awaited and handled failure is accepted.
- CLI: the reporters classify all four memory codes without the duplicated prefix.
- Mutation checks confirmed five of these tests fail without the code they cover: unawaited learns, resume dedup, body-failure settle, the read-failure retry, and first-commit convergence.
tests/memory-learn-live.test.ts: the built CLI and a real relayflowd. The journal record sits on the root run, the file cites it, and a second run of the same flow recalls the finding through why and recall.
The executor, preflight, direct-flow and memory suites (615 tests) pass locally. Two unrelated environment failures: an authored-root test that times out under load and passes when run alone, and a Bun 1.4.2 vs pinned 1.4.0 version check.

Do not merge without principal review.

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Note

Medium Risk
Changes durable run journaling, filesystem writes beside the history DB, and recall merge semantics; mistakes could leak unjournaled memory or lose findings on resume, though the design fails closed and is heavily tested.

Overview
f.memory.learn is implemented so authored flows can persist script-memory findings across runs. The previous stub that refused with unsupported_verb is replaced by a journal-first pipeline: stage a compacted trajectory file, append to the durable root run’s memory-learn stream, then atomically publish under <db-dir>/flows-memory/… (no recall without a journal record; resume republishes from the stream without re-journaling).

Reads and execution rules change: recall / why merge the ai-hist DB with on-disk learned trajectories (dedupe synced rows; damaged files fail as memory_unreachable). The executor tracks learn promises, settles in-flight writes on body failure, and fails with unawaited_step if learn isn’t awaited before done(). New codes (memory_finding_invalid, memory_unwritable, memory_unjournaled) surface through dedicated CLI diagnostics instead of generic protocol errors.

Docs (SURFACE.md, surface types, testdata README) and broad unit/live tests cover ordering, idempotency, races, and placement beside the DB—not the flow source tree. AUTHORING.md also documents agent resume / sessionId (regenerated drift).

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Agent Relay sessions

claude session b6cf20aa · opened via gh pr create · last active 2026-10-10
claude session aee3b740 · contributor · ran gh pr commands · last active 2026-10-10
claude session 5863fddb · contributor · ran gh pr commands · last active 2026-10-10

f.memory.learn was a hard-coded stub that threw unsupported_verb: ai-hist 0.4.1 has no public trajectory writer, so the write slice was never built. learn() now writes the finding under the flow's script scope, twice: - a compacted trajectory file at <scope>/.trajectories/compacted/<id>.json, the format `ai-hist sync` ingests; - the matching trajectories/history rows in the ai-hist SQLite DB, through ai-hist's own sql.js and an atomic file replace, so the next run's recall/why see it without a sync. The id hashes scope + finding, so a resumed body re-running learn (or a later run learning the same thing) upserts one record. Invalid findings refuse with memory_finding_invalid before any write; persistence failures surface as memory_unwritable. Regenerates AUTHORING.md (also picks up drift from #636). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

chatgpt-codex-connector · 2026-10-10T02:50:43Z

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Walkthrough

The change implements f.memory.learn(finding) with validation and script-scoped persistence. Tests cover persistence, recall, scope isolation, and failures. Documentation describes memory learning and adds agent resume and session ID details.

Changes

Script Memory Learning

Layer / File(s)	Summary
Learn validation and errors `packages/sdk/src/authored-flow-error.ts`, `packages/sdk/src/authored-memory.ts`, `packages/sdk/tests/f-memory.test.ts`	`learn` now accepts and validates a finding. Disabled memory and invalid findings produce the documented error codes.
Finding persistence `packages/sdk/src/authored-memory.ts`	The implementation writes a compacted trajectory under the script scope and upserts matching trajectory and history records in SQLite.
Persistence coverage and memory documentation `packages/sdk/tests/f-memory.test.ts`, `packages/surface/AUTHORING.md`, `packages/surface/src/memory.ts`, `testdata/memory/README.md`	Tests cover persistence across runs, repeated findings, scope isolation, invalid input, and storage failure. Memory documentation describes persistence, idempotency, and the database sync caveat.

Agent Resume Documentation

Layer / File(s)	Summary
Resume and session ID documentation `packages/surface/AUTHORING.md`	The authoring documentation adds optional `resume` and `sessionId` details, including the stated CLI and relay behavior.

Priority: ⬇️ Low

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Bug fix

Sequence Diagram(s)

sequenceDiagram
  participant Flow as Authored flow
  participant Learn as f.memory.learn
  participant Trajectory as Compacted trajectory JSON
  participant History as ai-hist SQLite
  Flow->>Learn: Submit finding
  Learn->>Learn: Validate and normalize finding
  Learn->>Trajectory: Write scoped trajectory
  Learn->>History: Upsert trajectory and history records

Suggested reviewers: kjgbot

Merge Risk: 🟡 Moderate · up to 7cc84

Concurrent learning or database sync can leave findings absent from later recall, and learning can fail against an older database. Address these persistence paths before merging.

Pre-merge checks | 4 | 1

❌ Failed checks (1 warning)

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✅ Passed checks (4 passed)

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Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.
Title check		The title clearly and concisely describes the main change: implementing f.memory.learn persistence across runs.
Description check		The description is directly related to the changeset and explains the implementation, failure behavior, persistence model, tests, and known limits.

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Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 6 functions across 4 files. (2 skipped: 2 unsupported.)

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Inline comments:
Review comments at @packages/sdk/src/authored-memory.ts:
- Around line 144-164: Serialize the full read-modify-write operation in
persistFinding per dbPath so concurrent calls in this process cannot overwrite
each other’s updates. Use a per-path promise chain and ensure a failed operation
does not block later queued writes; keep the existing database update behavior
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- Around line 161-163: Update persistFinding to add the history.git_branch
compatibility migration on the reopened database before inserting into history,
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- Serialize the DB read-modify-replace: per-path promise chain in-process plus an exclusive <db>.flows-memory.lock across processes (stale after 30s). - Stage the trajectory file and DB image as temp files; publish the file only once the DB image is built, and remove it if the DB replace fails, so a rejected learn leaves nothing for ai-hist sync to index. - Preserve the DB's file mode on replace (a 0600 history stays 0600). - Migrate a missing history.git_branch before inserting (pre-handoff DBs). - Report memory_finding_invalid / memory_unwritable as their own run and resume diagnostic kinds instead of protocol_error. - docs/SURFACE.md: learn is supported; describe its guarantees. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant · 2026-10-10T03:33:30Z

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- Lock files carry an owner {pid, host, token} and are published with link(), so they appear whole and never replace another lock. A lock is stale only when its owner pid is gone on this host (5-minute age backstop otherwise). Takeover renames the lock aside before removing it, so two breakers cannot both remove it, and a breaker that moved a live lock links it back. The writer re-checks its token before committing and releases only its own lock. - memoryWriteFailure reports the terminalized root (runId/rootRunId, status failed, completionReason step_failed); direct-run passes base.rootRunId so the plain CLI prints its RUN summary. - Lock-wait test synchronizes on the writer's staged lock instead of a delay; add a dead-owner takeover test. - SURFACE.md: say the lock serializes learn writers only, not ai-hist sync. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant · 2026-10-10T03:41:05Z

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…the DB's mode - A lock held by a live process on this host is never stale, however old; the 5-minute age backstop applies only to owners this host cannot probe. - The compacted trajectory file is created with the ai-hist DB's mode, so a 0600 history does not leak findings through a 0644 trajectory. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant · 2026-10-10T03:46:18Z

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Review kept finding races in the shared-DB write path (stale-lock takeover, lost updates against ai-hist sync). Remove the shared mutable state instead of locking it: - learn() writes only an immutable, content-addressed compacted trajectory file under the script scope (staged + atomic rename, DB's file mode). The ai-hist DB is never written: no lock, no read-modify-replace, no git_branch migration, no race with ai-hist sync. - recall()/why() read the DB plus the scope's own trajectory files, so the next run sees a finding before any sync; a synced copy is deduplicated in favour of the DB row. recall honours source/tag/beforeMs/limit for unsynced entries (negative id marks one read from disk). - The executor tracks learn() promises; one still pending when the body returns fails the run with unawaited_step instead of reporting success over an unconfirmed write. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant · 2026-10-10T03:55:25Z

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Per the principal's decision, learn ships journaled: - learn() commits the finding to the root run's `memory-learn` stream (stream.append, journaled under the run lock) BEFORE projecting it as a trajectory file, so nothing is recallable that the journal does not record. The file cites its commit ({runId, stream, offset}) and is derived only from it; a resumed body re-running learn finds the commit and republishes identical bytes without journaling again. Concurrent learns of one finding share one commit. - The durable root-run ID is required, not deferred: every flows run path already drives the body under a kernel root (driveRoot passes dispatch.run_id); learn without one refuses with memory_unjournaled. - Learned files move beside the ai-hist DB (<db-dir>/flows-memory/<scope>), so flows deployed from read-only checkouts can learn. - A damaged learned file fails recall/why with memory_unreachable instead of being skipped. - The unawaited-learn guard tracks whether the body consumed each call's outcome (a Promise subclass reached through then), so a fire-and-forget learn that settles before the body returns still fails the run. - Live test through the built CLI and a real relayflowd: the journal record, the citation, and a second run recalling the finding. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant · 2026-10-10T04:08:12Z

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…verge commits From a self-review of the journaled learn: - Journal errors from the memory-learn ledger propagate unchanged instead of becoming memory_unwritable, so a read interruption or lost lease keeps its resumable meaning for driveRoot. - A failed stream read is no longer cached for the execution. - The trajectory file is staged under a temporary name BEFORE the journal append and renamed into place after it, so disk failures (space, permissions) happen before anything is journaled; a journal failure publishes nothing. - After appending, the ledger re-reads the stream and publishes the first commit for the id, so attempts racing on one root converge on the same bytes. The file cites {runId, stream, id}. - A failed body waits for in-flight learns before handing the root back. - learn stats the DB for its mode instead of loading it; reads parse learned files in parallel and reject any malformed shape as memory_unreachable, which the run/resume reporters now classify. - Diagnostics drop the duplicated `<code>: ` prefix. - Docs: learn's stream append is not a journal step; TRAJECTORY_ROOT replaces ai-hist's default scan; the no-lock claim is scoped to the files. The live test restores AI_HIST_DB with vi.stubEnv. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

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khaliqgant · 2026-10-10T08:13:03Z

Owner pass on head 73806b22. No code changes were needed: each of the 15 open review threads was already fixed by an earlier commit on this branch (317a6b9 through 73806b2), or made moot when f4b23d6 removed the DB lock. I checked each fix at the current head, replied with the file:line and covering test, and resolved the thread.

Local checks, run in a separate worktree with TMPDIR=$HOME/.agent-tmp. The setup follows cloud-runtime-artifact.yml: cargo build --locked --release -p relayflowd, surface bun install --frozen-lockfile --ignore-scripts && bun run build, sdk npm ci --ignore-scripts, then the local surface override.

$ npm run typecheck          # packages/sdk
exit=0
$ npm run build
exit=0
$ npm run typecheck:tests
exit=0
$ RELAYFLOWS_ALLOW_ANALYZER_SKIP=1 RELAYFLOWD_BIN=<worktree>/kernel/target/release/relayflowd ./node_modules/.bin/vitest run tests/f-memory.test.ts tests/memory-learn-live.test.ts
 ✓ tests/memory-learn-live.test.ts (1 test) 2718ms
 ✓ tests/f-memory.test.ts (30 tests) 6152ms
 Test Files  2 passed (2)
      Tests  31 passed (31)

Full suite (vitest run, same env) on a loaded machine:

 Test Files  24 failed | 250 passed | 1 skipped (275)
      Tests  47 failed | 4255 passed | 20 skipped (4322)

A second full run (JSON reporter) had 22 failed and 4280 passed, in 15 files, none of them memory files. I re-ran only those 15 files: 142 passed, 3 failed, and one file failed at collection.

authored-node-runtime.test.ts: expected '1.4.2' to be '1.4.0'. The test pins Bun 1.4.0 and this machine has 1.4.2, so this is the environment.
live-kernel.test.ts › hn-monitor analyze-story reaches done through the real Claude analyzer CLI: did not reach done within 150000ms. This drives the real claude CLI, which CI does not have.
cli-package-gate.test.ts: spawnSync node ETIMEDOUT under load. Run alone it passes (1/1, 101s).
worker-lease-lost-live.test.ts › reports journal success when a renewal rejects after completion landed: a lease timing race under load. Run alone it passes (3/3).

None of these touch files this PR changes. The PR's CI (validate, linux-x64-artifact, packed-consumer, guard) is green at 73806b22.

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Comment thread packages/sdk/src/authored-flow-executor.ts

fix(sdk): settle in-flight learns on the missing_completion path too

73806b2

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Session-Id: b6cf20aa-bdbb-4248-91ab-d2a4fd2ce1b8

khaliqgant merged commit 4050ce0 into main Oct 10, 2026
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khaliqgant deleted the fix/agent-flow-memory-learn branch October 10, 2026 08:23

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