chore(release): prepare ReMe 0.4.1.9

.github/workflows/release-auto-fin.yml

@@ -73,8 +73,8 @@ jobs:
           if len(requirements) != 1:
               raise SystemExit(f"Expected one reme-ai dependency, found {requirements!r}")
           reme_requirement = Requirement(requirements[0])
-          if reme_requirement.name != "reme-ai" or set(reme_requirement.extras) != {"core"}:
-              raise SystemExit(f"Expected a reme-ai[core] dependency, found {requirements[0]!r}")
+          if reme_requirement.name != "reme-ai" or reme_requirement.extras:
+              raise SystemExit(f"Expected a base reme-ai dependency, found {requirements[0]!r}")
           with Path(os.environ["GITHUB_OUTPUT"]).open("a", encoding="utf-8") as output:
               print(f"reme_requirement={reme_requirement}", file=output)
           print(f"Publishing {project['name']} {actual}")
@@ -88,7 +88,7 @@ jobs:
           REME_REQUIREMENT: ${{ steps.package.outputs.reme_requirement }}
         run: |
           python -m pip download --no-deps \
-            --dest "${RUNNER_TEMP}/reme-auto-fin-core" \
+            --dest "${RUNNER_TEMP}/reme-auto-fin-base" \
             "${REME_REQUIREMENT}"
 
       - name: Build and check distributions
@@ -122,9 +122,7 @@ jobs:
           }
           assert set(manifest.application_defaults["jobs"]) == {
               "auto_fin",
-              "auto_fin_0930_cron",
-              "auto_fin_1130_cron",
-              "auto_fin_1800_cron",
+              "auto_fin_cron",
           }
           PY
 

.github/workflows/release-daily-paper.yml

@@ -70,8 +70,8 @@ jobs:
               raise SystemExit(f"Package version is {actual}, but workflow input is {expected}")
           requirements = [Requirement(value) for value in project["dependencies"]]
           reme_requirements = [requirement for requirement in requirements if requirement.name == "reme-ai"]
-          if len(reme_requirements) != 1 or set(reme_requirements[0].extras) != {"core"}:
-              raise SystemExit(f"Expected one reme-ai[core] dependency, found {reme_requirements!r}")
+          if len(reme_requirements) != 1 or reme_requirements[0].extras:
+              raise SystemExit(f"Expected one base reme-ai dependency, found {reme_requirements!r}")
           if sum(requirement.name == "pypdf" for requirement in requirements) != 1:
               raise SystemExit("Expected exactly one pypdf dependency")
           with Path(os.environ["GITHUB_OUTPUT"]).open("a", encoding="utf-8") as output:
@@ -87,7 +87,7 @@ jobs:
           REME_REQUIREMENT: ${{ steps.package.outputs.reme_requirement }}
         run: |
           python -m pip download --no-deps \
-            --dest "${RUNNER_TEMP}/reme-daily-paper-core" \
+            --dest "${RUNNER_TEMP}/reme-daily-paper-base" \
             "${REME_REQUIREMENT}"
 
       - name: Build and check distributions

plugins/auto-fin/README.md

@@ -17,7 +17,7 @@ through `plugins=["auto-fin"]`.
 ### 1. Install ReMe and Auto Fin
 
 ```bash
-python -m pip install "reme-ai[core]>=0.4.1.8"
+python -m pip install "reme-ai[core]>=0.4.1.9"
 reme plugins install reme-auto-fin
 ```
 
@@ -74,7 +74,7 @@ normalize and deduplicate in RuntimeContext
         ↓
 topic Agent selects real news IDs in bounded batches
         ↓
-research Agent uses memory_search + read on historical memory
+research Agent uses search + read on historical memory
         ↓
 validate historical wikilinks in code
         ↓
@@ -89,8 +89,8 @@ records outside the window are discarded.
 IDs and deduplicates repeated IDs, then preserves the source-news order. If nothing is relevant, the job succeeds as a
 skip without writing or sending a report.
 
-`auto_fin_merge_step` receives only selected current news. It exposes `memory_search` and `read`, instructs the Agent to
-search no later than yesterday, and keeps current CLS IDs, times, and titles as plain evidence. The prompt limits
+`auto_fin_merge_step` receives only selected current news. It exposes `search` and `read`, and keeps current CLS IDs,
+times, and titles as plain evidence. The prompt limits
 wikilinks to historical Markdown actually used by the Agent; the code-level boundary independently keeps only existing,
 workspace-relative Markdown targets. Missing, absolute, escaping, backslash, and self-referential targets are degraded
 to their readable aliases.

plugins/auto-fin/README_ZH.md

@@ -14,7 +14,7 @@ distribution：单个 `reme.plugins` entry point 暴露 `plugin.yaml`，其中
 ### 1. 安装 ReMe 和 Auto Fin
 
 ```bash
-python -m pip install "reme-ai[core]>=0.4.1.8"
+python -m pip install "reme-ai[core]>=0.4.1.9"
 reme plugins install reme-auto-fin
 ```
 
@@ -69,7 +69,7 @@ reme start config=daily_cookbook plugins='["auto-fin"]'
         ↓
 Topic Agent 分批选择真实 news_id
         ↓
-Research Agent 使用 memory_search + read 检索历史记忆
+Research Agent 使用 search + read 检索历史记忆
         ↓
 代码校验历史 wikilink
         ↓
@@ -82,8 +82,8 @@ daily/YYYY-MM-DD/auto_fin.md
 `auto_fin_topic_step` 分批接收当前新闻，只返回相关的 `news_id`。代码会忽略未知 ID、去除重复 ID，并保持源新闻顺序。如果没有相关新闻，Job
 会成功跳过，不写报告也不发送通知。
 
-`auto_fin_merge_step` 只接收筛选后的当前新闻，并向 Agent 开放 `memory_search` 和 `read`。历史检索截止到昨天；当前新闻以
-CLS ID、时间和标题作为普通证据。Prompt 要求 Agent 只链接实际使用过的历史 Markdown；代码边界则独立保证只保留真实存在、相对
+`auto_fin_merge_step` 只接收筛选后的当前新闻，并向 Agent 开放 `search` 和 `read`。当前新闻以 CLS ID、时间和标题作为普通证据。
+Prompt 要求 Agent 只链接实际使用过的历史 Markdown；代码边界则独立保证只保留真实存在、相对
 workspace 的 Markdown 目标。不存在、绝对路径、越界、带反斜杠和自引用的目标都会降级为可读 alias。
 
 同日重跑会参考当天已有报告并覆盖为修订结果。最终写入使用原子替换并刷新当天索引；流程不会写入 JSONL、中间 Markdown 或 Agent

plugins/auto-fin/pyproject.toml

@@ -1,13 +1,13 @@
 [project]
 name = "reme-auto-fin"
-version = "0.1.1"
+version = "0.1.2"
 description = "Auto Fin example plugin for ReMe."
 readme = "README.md"
 license = "Apache-2.0"
 license-files = ["LICENSE"]
 requires-python = ">=3.11"
 dependencies = [
-    "reme-ai[core]>=0.4.1.8",
+    "reme-ai",
 ]
 
 [project.entry-points."reme.plugins"]

plugins/auto-fin/src/reme_auto_fin/merge.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 
 import json
 import re
-from datetime import date, timedelta
+from datetime import date
 from pathlib import Path
 from types import SimpleNamespace
 
@@ -102,6 +102,7 @@ class AutoFinMergeStep(AutoFinStep):
         )
 
     async def execute(self):
+        """Research the selected news and persist the validated report."""
         assert self.context is not None
         if self.context.get("auto_fin_skipped"):
             return self.context.response
@@ -112,7 +113,6 @@ class AutoFinMergeStep(AutoFinStep):
             job_tools=list(self.kwargs.get("job_tools") or []),
             decision_at=str(self._required("auto_fin_decision_at")),
             window_start=str(self._required("auto_fin_window_start")),
-            historical_end=(run_date - timedelta(days=1)).isoformat(),
             topics=json.dumps(self._required("auto_fin_topics"), ensure_ascii=False),
             news=json.dumps(self._required("auto_fin_selected_news"), ensure_ascii=False),
             current_report=self._current_report(run_date),

plugins/auto-fin/src/reme_auto_fin/merge.yaml

@@ -1,5 +1,5 @@
 merge_user: |
-  你是主题新闻研究 Agent。当前新闻已经按 topics 做过语义筛选。你可以使用 `memory_search` 搜索历史记忆，
+  你是主题新闻研究 Agent。当前新闻已经按 topics 做过语义筛选。你可以使用 `search` 搜索历史记忆，
   并使用 `read` 阅读可能相关的完整 Markdown。不得使用外部搜索，不得虚构行情、收益、价格或未提供的数据。
 
   研究窗口：{window_start} 至 {decision_at}
@@ -8,7 +8,7 @@ merge_user: |
   今天早些时段的报告（如有，请保留仍成立的判断，只修订变化部分）：
   {current_report}
 
-  先围绕 topics 和当前重要事件多次调用 `memory_search`，并将 end_date 设为 {historical_end}，避免召回今天的旧报告。
+  先围绕 topics 和当前重要事件多次调用 `search` 检索历史记忆。
   只对明显相关的结果调用 `read`。说明历史事件与当前事件的相同点、关键差异，以及旧判断是否仍适用。
   给出值得回顾的新闻、应继续观察的信息，以及哪些条件会强化或推翻判断，但不要给出投资建议。
 

plugins/auto-fin/src/reme_auto_fin/plugin.yaml

@@ -42,19 +42,9 @@ application_defaults:
         - backend: auto_fin_data_step
         - backend: auto_fin_topic_step
         - backend: auto_fin_merge_step
-          job_tools: [memory_search, read]
+          job_tools: [search, read]
 
-    auto_fin_0930_cron:
-      backend: cron
-      cron: "30 9 * * *"
-      steps: *auto_fin_steps
-
-    auto_fin_1130_cron:
-      backend: cron
-      cron: "30 11 * * *"
-      steps: *auto_fin_steps
-
-    auto_fin_1800_cron:
+    auto_fin_cron:
       backend: cron
       cron: "0 18 * * *"
       steps: *auto_fin_steps

plugins/auto-fin/tests/test_auto_fin.py

@@ -195,14 +195,14 @@ async def test_merge_writes_only_final_report_and_validates_historical_links(tmp
     response = await AutoFinMergeStep(
         app_context=app_context,
         agent_wrapper=agent,
-        job_tools=["memory_search", "read"],
+        job_tools=["search", "read"],
     )(context)
 
     prompt, kwargs = agent.calls[0]
-    assert "end_date 设为 2026-08-09" in prompt
-    assert "调用 `memory_search`" in prompt
+    assert "end_date" not in prompt
+    assert "调用 `search`" in prompt
     assert "调用 `read`" in prompt
-    assert kwargs == {"output_schema": AutoFinReportOutput, "job_tools": ["memory_search", "read"]}
+    assert kwargs == {"output_schema": AutoFinReportOutput, "job_tools": ["search", "read"]}
     report = (tmp_path / "daily" / "2026-08-10" / "auto_fin.md").read_text(encoding="utf-8")
     assert "[[daily/2026-08-01/auto_fin.md|历史黄金观察]]" in report
     assert "](daily/2026-08-01/auto_fin.md)" not in report
@@ -254,14 +254,17 @@ def test_plugin_config_has_default_topics_and_no_intermediate_index_step():
         "auto_fin_topic_step",
         "auto_fin_merge_step",
     ]
-    assert job["steps"][2]["job_tools"] == ["memory_search", "read"]
-    for name, schedule in {
-        "auto_fin_0930_cron": "30 9 * * *",
-        "auto_fin_1130_cron": "30 11 * * *",
-        "auto_fin_1800_cron": "0 18 * * *",
-    }.items():
-        assert jobs[name]["cron"] == schedule
-        assert jobs[name]["steps"] == job["steps"]
+    assert job["steps"][2]["job_tools"] == ["search", "read"]
+    assert jobs["auto_fin_cron"]["cron"] == "0 18 * * *"
+    assert jobs["auto_fin_cron"]["steps"] == job["steps"]
+    assert (
+        not {
+            "auto_fin_0930_cron",
+            "auto_fin_1130_cron",
+            "auto_fin_1800_cron",
+        }
+        & jobs.keys()
+    )
 
 
 def test_agent_schemas_are_small_and_required():

plugins/daily_paper/README.md

@@ -13,7 +13,7 @@ their Job configuration under `application_defaults`. Enable the installed plugi
 ### 1. Install ReMe and Daily Paper
 
 ```bash
-python -m pip install "reme-ai[core]>=0.4.1.8"
+python -m pip install "reme-ai[core]>=0.4.1.9"
 reme plugins install reme-daily-paper
 ```
 
@@ -62,7 +62,7 @@ rank with RRF and let an Agent select three papers
                  ↓
 download and parse arXiv PDFs, then write three Chinese analyses
                  ↓
-use memory_search + read to connect prior memory and generate a brief
+use search + read to connect prior memory and generate a brief
                  ↓
 refresh the daily index and optionally send the brief to DingTalk
 ```
@@ -80,7 +80,7 @@ the configured page, character, and file-size limits. It writes the three Chines
 PDFs and files without a text layer fail explicitly.
 
 `daily_paper_digest_step` treats those three analyses as the factual source and receives only the read-only
-`memory_search` and `read` tools for linking earlier memory. Code validates historical wikilinks, appends links to all
+`search` and `read` tools for linking earlier memory. Code validates historical wikilinks, appends links to all
 three source notes, and rebuilds the daily index. The optional `dingtalk_markdown_send_step` sends the final brief when
 conversation IDs are configured and otherwise skips without side effects.
 

plugins/daily_paper/README_ZH.md

@@ -11,7 +11,7 @@ Step backend，并在 `application_defaults` 下提供 Job 配置；通过 `plug
 ### 1. 安装 ReMe 和每日论文插件
 
 ```bash
-python -m pip install "reme-ai[core]>=0.4.1.8"
+python -m pip install "reme-ai[core]>=0.4.1.9"
 reme plugins install reme-daily-paper
 ```
 
@@ -58,7 +58,7 @@ RRF 排序后由 Agent 精选三篇
           ↓
 下载并解析 arXiv PDF，生成三篇中文解读
           ↓
-使用 memory_search + read 关联历史记忆并生成简报
+使用 search + read 关联历史记忆并生成简报
           ↓
 写入当日索引，并按需发送到钉钉
 ```
@@ -72,7 +72,7 @@ RRF 排序后由 Agent 精选三篇
 `daily_paper_analyze_step` 下载 PDF 到 `resource/papers/`，复用已有的有效文件，并在页数、字符数和文件大小限制内提取
 文本。三篇中文解读按精选顺序写入当天目录；扫描版或没有文本层的 PDF 会明确失败。
 
-`daily_paper_digest_step` 以本次生成的三篇解读为事实来源，只开放只读的 `memory_search` 和 `read` 来关联较早记忆。
+`daily_paper_digest_step` 以本次生成的三篇解读为事实来源，只开放只读的 `search` 和 `read` 来关联较早记忆。
 代码会校验历史 wikilink、追加三篇源笔记链接，并重建当日索引。可选的 `dingtalk_markdown_send_step` 在配置群会话后
 发送最终简报；未配置时无副作用跳过。
 

plugins/daily_paper/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "reme-daily-paper"
-version = "0.1.1"
+version = "0.1.2"
 description = "Daily Paper research and reading-note plugin for ReMe."
 readme = "README.md"
 license = "Apache-2.0"
@@ -8,7 +8,7 @@ license-files = ["LICENSE"]
 requires-python = ">=3.11"
 dependencies = [
     "pypdf>=5.0.0",
-    "reme-ai[core]>=0.4.1.8",
+    "reme-ai",
 ]
 
 [project.entry-points."reme.plugins"]

plugins/daily_paper/src/reme_daily_paper/digest.py

@@ -64,6 +64,7 @@ class DailyPaperDigestStep(DailyPaperStep):
         return _WIKILINK_RE.sub(replace, body)
 
     async def execute(self):
+        """Generate and persist the final brief from analyzed papers."""
         assert self.context is not None
         if self._skip():
             self.logger.info(f"[{self.name}] skip existing digest")
@@ -79,13 +80,11 @@ class DailyPaperDigestStep(DailyPaperStep):
 
         documents = [{"title": item.title, "desc": item.desc, "body": item.body} for item in analyses]
         wikilinks = [f"[[{item.note_path}]]" for item in analyses]
-        previous_day = (dt.date.fromisoformat(self._run_day()) - dt.timedelta(days=1)).isoformat()
         self.logger.info(f"[{self.name}] agent start notes={len(analyses)}")
         result = await self.agent_wrapper.reply(
             self.prompt_format(
                 "digest_user",
                 documents=json.dumps(documents, ensure_ascii=False, indent=2),
-                previous_day=previous_day,
             ),
             output_schema=DailyPaperMarkdownOutput,
             job_tools=list(self.kwargs.get("job_tools") or []),

plugins/daily_paper/src/reme_daily_paper/digest.yaml

@@ -4,8 +4,8 @@ digest_user: |
   内容只能依据输入文档，不得补充文档中没有提供的事实。
   保留技术准确性，同时解释三篇论文为什么值得关注，以及它们之间有什么联系。
 
-  在写作前，先调用 `memory_search` 检索以前的文章：围绕三篇论文的核心问题、方法、关键词和同义表达组织查询，
-  使用 end_date={previous_day}、limit=20。主题跨度较大时可以多次检索。只把 `daily/` 下日期早于今天、
+  在写作前，先调用 `search` 检索以前的文章：围绕三篇论文的核心问题、方法、关键词和同义表达组织查询，
+  使用 limit=20。主题跨度较大时可以多次检索。只把 `daily/` 下日期早于今天、
   且与本期内容确实相似或互补的 Markdown 文章作为候选；必要时调用 `read` 核验全文，不要仅凭标题判断。
   将确认相关的旧文章以 Wikilink 自然织入正文，并用句子说明关联（延续、对比、补充或方法相似）；
   链接必须采用带 `.md` 的完整 workspace-relative 路径，例如

plugins/daily_paper/src/reme_daily_paper/plugin.yaml

@@ -53,7 +53,7 @@ application_defaults:
         - backend: daily_paper_select_step
         - backend: daily_paper_analyze_step
         - backend: daily_paper_digest_step
-          job_tools: [memory_search, read]
+          job_tools: [search, read]
         - backend: dingtalk_markdown_send_step
           input_mapping:
             daily_paper_digest_path: markdown_path

plugins/daily_paper/tests/test_daily_paper.py

@@ -846,7 +846,7 @@ async def test_pipeline_filters_strict_yesterday_and_writes_outputs(
     await DailyPaperDigestStep(
         app_context=app_context,
         agent_wrapper=cc_wrapper,
-        job_tools=["memory_search", "read"],
+        job_tools=["search", "read"],
     )(context)
 
     assert _FakeHfClient.requested_daily == ["2026-07-20"]
@@ -886,7 +886,7 @@ async def test_pipeline_filters_strict_yesterday_and_writes_outputs(
     assert all(call["kwargs"] == {"output_schema": DailyPaperMarkdownOutput} for call in cc_wrapper.calls[1:-1])
     assert cc_wrapper.calls[-1]["kwargs"] == {
         "output_schema": DailyPaperMarkdownOutput,
-        "job_tools": ["memory_search", "read"],
+        "job_tools": ["search", "read"],
     }
     assert [call["kwargs"]["output_schema"] for call in cc_wrapper.calls] == [
         PaperPickList,
@@ -906,8 +906,8 @@ async def test_pipeline_filters_strict_yesterday_and_writes_outputs(
     assert "调用 Read" not in digest_prompt
     assert "daily/2026-07-21" not in digest_prompt
     assert "长期记忆" not in digest_prompt
-    assert "先调用 `memory_search` 检索以前的文章" in digest_prompt
-    assert "end_date=2026-07-20" in digest_prompt
+    assert "先调用 `search` 检索以前的文章" in digest_prompt
+    assert "end_date" not in digest_prompt
     assert "Wikilink" in digest_prompt
 
     rerun = RuntimeContext(date="2026-07-21")

pyproject.toml

@@ -42,7 +42,7 @@ dependencies = [
 
 [project.optional-dependencies]
 as = [
-    "agentscope[model-ollama]==2.0.6",
+    "agentscope[model-ollama]==2.0.7",
 ]
 web = [
     "reme_studio",
@@ -63,9 +63,9 @@ core = [
     "reme_studio",
 ]
 qwenpaw = [
-    "reme-ai[core]",
-    "reme-auto-fin>=0.1.1",
-    "reme-daily-paper>=0.1.1",
+    "reme-ai",
+    "reme-auto-fin>=0.1.2",
+    "reme-daily-paper>=0.1.2",
 ]
 dev = [
     "packaging>=24.2",

reme/__init__.py

@@ -1,6 +1,6 @@
 """ReMe CLI package."""
 
-__version__ = "0.4.1.8"
+__version__ = "0.4.1.9"
 
 from . import config
 from . import constants

tests/unit/test_package_versions.py

@@ -41,17 +41,17 @@ def test_studio_packages_have_independent_identity() -> None:
     assert studio_config["project"]["name"] == "reme_studio"
     assert npm_config["name"] == "@agentscope-ai/reme_studio"
     assert studio_config["project"]["version"] == npm_config["version"]
-    assert main_config["project"]["optional-dependencies"]["as"] == ["agentscope[model-ollama]==2.0.6"]
+    assert main_config["project"]["optional-dependencies"]["as"] == ["agentscope[model-ollama]==2.0.7"]
     assert main_config["project"]["optional-dependencies"]["web"] == ["reme_studio"]
     assert main_config["project"]["optional-dependencies"]["core"].count("reme-ai[as]") == 1
     assert main_config["project"]["optional-dependencies"]["core"].count("reme_studio") == 1
     assert main_config["project"]["optional-dependencies"]["qwenpaw"] == [
-        "reme-ai[core]",
-        "reme-auto-fin>=0.1.1",
-        "reme-daily-paper>=0.1.1",
+        "reme-ai",
+        "reme-auto-fin>=0.1.2",
+        "reme-daily-paper>=0.1.2",
     ]
-    assert auto_fin_config["project"]["version"] == "0.1.1"
-    assert daily_paper_config["project"]["version"] == "0.1.1"
+    assert auto_fin_config["project"]["version"] == "0.1.2"
+    assert daily_paper_config["project"]["version"] == "0.1.2"
     assert main_config["tool"]["setuptools"]["packages"]["find"]["include"] == ["reme", "reme.*"]
     assert "reme_studio*" in main_config["tool"]["setuptools"]["packages"]["find"]["exclude"]
 
@@ -153,14 +153,15 @@ def test_auto_fin_license_matches_repository() -> None:
     ).read_text(encoding="utf-8")
 
 
-def test_auto_fin_requires_reme_core() -> None:
-    """Install the optional runtime packages needed while loading Auto Fin's entry points."""
+def test_auto_fin_requires_reme_base() -> None:
+    """Keep the plugin dependency limited to ReMe's public base package."""
     config = tomllib.loads((REPOSITORY / "plugins" / "auto-fin" / "pyproject.toml").read_text(encoding="utf-8"))
     requirements = [Requirement(value) for value in config["project"]["dependencies"]]
     reme_requirements = [requirement for requirement in requirements if requirement.name == "reme-ai"]
 
     assert len(reme_requirements) == 1
-    assert set(reme_requirements[0].extras) == {"core"}
+    assert not reme_requirements[0].extras
+    assert not reme_requirements[0].specifier
 
 
 def test_daily_paper_license_matches_repository() -> None:
@@ -171,12 +172,13 @@ def test_daily_paper_license_matches_repository() -> None:
 
 
 def test_daily_paper_declares_runtime_dependencies() -> None:
-    """Keep Daily Paper's ReMe feature set and PDF parser explicit in its own distribution."""
+    """Keep Daily Paper's minimal ReMe and PDF dependencies explicit."""
     config = tomllib.loads((REPOSITORY / "plugins" / "daily_paper" / "pyproject.toml").read_text(encoding="utf-8"))
     requirements = [Requirement(value) for value in config["project"]["dependencies"]]
     by_name = {requirement.name: requirement for requirement in requirements}
 
-    assert set(by_name["reme-ai"].extras) == {"core"}
+    assert not by_name["reme-ai"].extras
+    assert not by_name["reme-ai"].specifier
     assert "pypdf" in by_name