Open spans at the memory hot paths (all no-op when tracing is off):
- add / flush (service.memorize), extract + persist.markdown (user pipeline).
- search: everos.memory.search retriever + a uniform recall / rank
decomposition across keyword / vector / hybrid / agentic (manager, agentic
modules, cross-encoder callbacks); query-embedding tokens land on recall.
- recall quality: top_score / hit on the search span, plus recall_top_score /
recall_hit pushed to Langfuse scores via the bounded-queue sink (method
tagged; off the request path).
- OME: everos.ome.<strategy> agent span + everos.reflect.consolidate
generation; a W3C traceparent captured at enqueue is threaded through the
APScheduler job and re-attached in the Runner, so strategies fanned out
from a request nest under that request's trace.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Surface gen_ai.* model + token attributes onto the active span so Langfuse
can compute cost — without touching everalgo:
- UsageRecordingClient wraps the LLM client and records response.usage after
each chat(); get_llm_client composes it over the existing _LoggingLLMClient
only when observability is enabled (disabled default stays overhead-free).
- OpenAIEmbeddingProvider records its response.usage (input tokens) onto the
active span too.
Tokens land on the everos.extract / everos.reflect.consolidate generation
spans and the search embedding recall; no-op when tracing is off.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
FTS indexes built with with_position=True crash lance's optimize/compaction
on lancedb >= 0.32 when merging an unindexed tail (Max offset exceeds length
of values; upstream lance-format/lance#7653). The crash aborts optimize()
including version cleanup, so the index dir grows unbounded until the disk
fills. everos recall is OR-mode BM25 and never does phrase queries, so
positions are never read -- disabling is lossless.
- base: default with_position=False
- infra: migrate_fts_indexes() rebuilds pre-fix indexes once at startup + reclaims orphans
- cascade worker: count consecutive optimize failures, escalate warning->error
Fixes#335.
Co-authored-by: zhanghui <zhanghui@shanda.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
compile_filters() unconditionally appended 'deprecated_by IS NULL' to
every query, but the deprecated_by column only exists on user-scoped
tables (episode, atomic_fact — Reflection V1). Agent tables
(agent_case, agent_skill) lack this column, causing a SQL error on
agent search/get queries.
Gate the clause behind owner_type == 'user' so agent queries no longer
reference a non-existent column.
Bump version to 1.1.2.
Co-authored-by: Jiayao Song <jiayao.song@shanda.com>
md-first memory extraction framework for AI agents.
Markdown is the single source of truth; SQLite holds state and LanceDB
provides the rebuildable vector + BM25 + scalar index. The codebase follows
a single-direction DDD layering (entrypoints -> service -> memory -> infra,
with component / core / config cross-cutting) enforced by import-linter.
Engineering surface:
- Coding conventions in .claude/rules/ (path-scoped) and workflows in
.claude/skills/ (/commit, /new-branch, /pr).
- GitHub Actions CI runs make lint + test + integration; pre-commit mirrors
the gates locally (ruff, hygiene hooks, gitlint commit-msg).
- Commit messages follow Conventional Commits, enforced by gitlint.
- make lint also enforces datetime two-zone discipline and OpenAPI drift.
zhanghui
Elliot Chen
zhanghui
Kendrick-Song
Yangtze-Seventh
Elliot Chen