mate_memory_recall.filename is VARCHAR(256), but the snippet-level recall
tracker assembles the key as `path + '#' + H2-heading-slug`. When the LLM
writes an over-long daily-note heading (the summarize prompt placed no
length cap on the `##` title), the CJK-preserving slug pushes the filename
past the column, and writes fail with Data too long / string too long.
Three layers of defence, root cause + hard caps:
1. prompt (source) — summarize-system.txt now asks for short (≤30 chars)
`##` titles; details go in the body, not the heading.
2. slug cap (close to source) — MemoryRecallTracker.sanitizeSectionKey
caps the slug at MAX_SECTION_SLUG=200, leaving path+'#' well under 256.
3. write-side cap (catches every path) — MemoryRecallService.recordRecall
truncates filename to MAX_FILENAME_LENGTH=255 at the entry point, so
the select/insert/update branches share one value and the dup-key
concurrency fallback still matches. Covers trackActiveRetrieval too,
which bypasses sanitizeSectionKey.
Tests: MemoryRecallFilenameTruncationTest covers both caps (over-long CJK
heading, normal heading untouched, ascii slug, date prefix survives) plus
an end-to-end assertion that the stored value fits VARCHAR(256). Existing
memory-suite unit tests still green.
Always-on memory (structured user/feedback blocks, PROFILE.md, MEMORY.md) is injected into every system prompt but only ever grew, inflating per-turn context over time. This adds deterministic size control across all always-on sources:
- Injection budget: cap the always-on structured block by total chars and per-type entry count, keeping the most-recently-updated entries (LRU by Updated date) and disclosing how many were omitted
- Nightly consolidation: a dedicated scheduled pass merges duplicate/stale user & feedback entries via the LLM, preserving each entry's original Updated date; runs per owner bucket (shared + personal) with a per-run cap and a never-grow safety guard
- File ceilings: deterministic backstop truncates PROFILE.md / MEMORY.md at a section boundary when a rewrite overruns its budget
- Manual trigger endpoint for the consolidation maintenance task
All knobs under mate.memory.*; covered by unit tests.
Add KingbaseES support as an opt-in profile: dedicated migration tree, bilingual seed data, runtime DbType detection (KINGBASE_ES / POSTGRE_SQL), and JDBC URL handling in the datasource manager.
Five-commit bundle brings the Dream v2 P1 engine layer online, sitting
on top of the lifecycle mediator foundation already merged.
B.1-B.4 · Schema + records
- Flyway V26 (dream_report) + V27 (memory_recall review fields),
both h2 and mysql
- DreamReportEntity + DreamMode + DreamStatus enum + record types
- DreamReportMapper repository layer
B.5-B.8 · Consolidate refactor + focused dream
- MemoryEmergenceService refactored for plug-in dream modes
- MemoryRecallService extended with promoted/rejected review fields
- Focused dream endpoint + prompt template
- MemoryController exposes the review/trigger surface
B.9-B.10 · Monthly archive service
- MemoryArchiveService rolls cold promoted entries into archival rows
and reclaims daily_count storage
- DreamingScheduler runs archive job on its own schedule
B.12-B.14 · Tests
- MemoryArchiveServiceTest
- DreamFlagGuardTest
- DreamV2AcceptanceIT (end-to-end acceptance under feature flag)
Plus a verification script + HTTP e2e kit in the private test/ dir,
used for local staged rollout — not part of the open-source
distribution.
All features stay gated behind the mate.memory.dream.* flags from
Phase 1. Enable per-phase after staging validation.
beforeLlmCall / afterLlmCall / onSessionEnd only logged on failure,
making flag on/off indistinguishable in logs. Add debug lines on the
success path so lifecycle activation is observable.
Wire memory-facing events (turn-started, turn-completed, session-ended,
memory-written) through a single MemoryLifecycleMediator so
MemoryProvider implementations can hook into the agent conversational
flow without spreading side-effects across the runtime.
Ten atomic steps shipped under feat/dream-v2-p1-lifecycle:
- A.1 + A.2: MemoryLifecycleMediator class + TurnContext value object
- A.3: TurnStartedEvent / TurnCompletedEvent domain events
- A.4: MemoryLifecycleEventListener bean for Spring event plumbing
- A.5: MemoryProvider.onMemoryWrite default method (backward compatible)
- A.7: wire the mediator into AgentService at the right hook points
- A.8: LifecycleFlagGuardTest — feature flag must gate every hook
- A.9: MemoryLifecycleMediatorTest — unit coverage per hook
- A.10: LifecycleRecallCountIT — F4 regression across the stack
Feature flags (all default OFF; enable per phase after staging):
- mate.memory.lifecycle-mediator-enabled
- mate.memory.dream.focused-enabled
- mate.memory.dream.archive-enabled
This is Phase 1 foundation only — focused-dream and archive-dream
providers arrive in later phases.
Full-stack AI assistant built on Spring AI Alibaba.
Features: ReAct Agent, Plan-and-Execute, MCP Protocol, Multi-Model, Multi-Channel.
Apache-2.0 License
