Commit graph

86 commits

Author SHA1 Message Date
jinliyl
3cb2579ff7
refactor(steps): update auto-memory (#263)
* refactor(steps): update naming conventions in components and configuration

Updated naming conventions across multiple files, changing colon-separated names to underscore-separated format, and added new step definitions along with documentation updates.

Key changes:
- Replaced `Synchronizer` with `AutoMemory` as the counterpart component for cold-write operations
- Updated naming conventions in all related configuration files (e.g., `frontmatter:read` → `frontmatter_read`)
- Added new step definitions such as `submit_slug_updates` and `auto_memory`
- Updated relevant documentation
- Modified log output format for improved readability

* refactor(evolve): Refactor the auto-memory module and update related configurations

- Remove the old slug update commit step file
- Add new auto-memory planner and writer steps
- Update __init__.py to export the new step classes
- Modify the auto_memory configuration structure in default.yaml
- Update the slug field description for clearer explanation of its purpose

* up

* up

* refactor(tests): Move unit test directory from `tests4/unittest` to `tests4/unit`

Additionally, the assertion logic in test files has been updated: direct comparisons of `payload["notes"]` have been replaced with checks verifying the presence of paths and metadata within the response content. Furthermore, some test expectations have been simplified—for example, using `count` instead of asserting against specific note lists.

Specific changes include:
- Updating workflow configurations to align with the new test directory structure
- Modifying assertions across multiple test methods to make them more flexible and maintainable
- Cleaning up and optimizing parts of the test code structure

This is a comprehensive test refactoring effort aimed at improving test readability and robustness.

* Refactor(steps): Update memory writing logic and optimize JSON schema structure

Improved the write strategy description in `auto_memory_writer.yaml` to emphasize using `edit` over `write`.
Adjusted the `json_schema` structure in `base_step.py` to support the new function definition format.
Also corrected grammatical issues in the related documentation.

* Fix: Improve frontend data parsing error handling and update test files

Added capture and handling logic for YAML parsing exceptions, providing more detailed error messages when frontend data format issues occur. Also corrected the description text in a test file.
2026-05-29 12:07:44 +08:00
诸岳
0dff85b9b5
feat(store): seekdb file and vector stores via pyseekdb (embedded + remote) (#207)
* feat(seekdb): add Seekdb file and vector stores with pyseekdb>=1.2.0

* refactor(seekdb): add pyseekdb_conn and remote-only host/port config

* refactor(embedding): remove env fallbacks from BaseEmbeddingModel; pass credentials in tests

* refactor(seekdb): drop tenant from client kwargs; default database test and empty password

* fix(deps): gate pyseekdb to Python >=3.11 for CI 3.10 compatibility

* fix(seekdb): satisfy pre-commit pylint and formatting for seekdb stores
2026-05-22 10:55:48 +08:00
Joshua
0e5a9f5034
fix(reme_light): dedupe default watch paths on case-insensitive filesystems (#234)
* fix(reme_light): dedupe default watch paths on case-insensitive filesystems

On Windows NTFS and macOS HFS+, ``MEMORY.md`` and ``memory.md`` resolve to
the same physical file. ``ReMeLight.__init__`` hardcoded both spellings in
the default ``watch_paths`` list, so the memory markdown file was indexed
twice on those filesystems, wasting embedding calls and producing duplicate
search hits.

Dedupe the default candidate list using ``os.path.normcase`` as the
comparison key. On case-sensitive filesystems normcase is the identity
function, so both spellings continue to be watched there. The original
path strings are preserved, the caller-supplied ``watch_paths`` path is
untouched, and only the built-in fallback is affected.

Fixes #228

* refactor(reme_light): simplify watch path dedup via existence check

Replace the os.path.normcase-based dedup loop with a direct exists()
check that picks one of MEMORY.md / memory.md. On case-insensitive
filesystems both spellings resolve to the same file so exists() returns
true for both, naturally avoiding a duplicate watch — including on
macOS where os.path.normcase is the identity function and the previous
approach silently did nothing.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 15:18:23 +08:00
Aqil Aziz
ccadf1d3f9
fix(file_watcher): reset stop event on restart (#233) 2026-05-14 14:37:17 +08:00
yangtiancheng-ali
d72f5fc581
feat(vector_store): add Hologres vector store implementation (#226)
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2026-05-09 10:30:37 +08:00
lichen2015
f42cf60706
add zvec vector/file store (#218) 2026-05-08 17:12:11 +08:00
Zhouwk
e0d0e3e568
提供支持向量数据库的profile功能 (#221)
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* feat(reme): 添加配置选项以启用或禁用个人资料功能

- 在 ReMe 初始化方法中添加 enable_profile 参数,默认值为 True
- 根据 enable_profile 设置决定是否创建 profile 目录和设置 profile_dir
- 在 PersonalSummarizer 中根据 enable_profile 条件性地添加个人资料相关工具
- 在 PersonalRetriever 中根据 enable_profile 条件性地添加 ReadAllProfiles 工具
- 修改 profile_path 属性以在禁用个人资料时返回 None
- 修改 get_profile_handler 方法以在禁用个人资料时返回 None
- 为 enable_profile 参数添加文档说明其用于云向量存储场景

* refactor(benchmark): 重构LongMemEval基准测试中的ReMe实例管理

- 移除未使用的shutil导入
- 将固定的ReMe实例改为每个问题创建独立实例以实现隔离
- 更新LLM配置名称从qwen3-max-think到qwen-max-t
- 修改模型调用逻辑使用正确的model_name参数
- 添加qwen-flash和GPT-4o-mini等新模型配置
- 统一使用"User"作为用户名,通过集合名实现隔离
- 调整并发处理数从4降至1,批处理大小从10增至30
- 每个问题类型采样数从2增至4
- 添加异步上下文管理确保资源正确释放

* reformat 2 files

* refactor(benchmark): 重构长记忆评估中的模型配置

- 将原有的 eval_model_name 替换为专门的 retrieve_model_name 用于检索操作
- 添加对 qwen-max 模型配置的支持
- 更新参数解析器以支持新的检索模型参数
- 修改最大并发数默认值从 1 提升到 4
- 调整样本数量默认值从 4 减少到 1
- 统一模型参数命名规范,区分摘要、检索和评估模型
- 优化内存处理器初始化逻辑,支持独立的检索模型配置

* fix(benchmark): 移除数据路径默认值并设为必填参数

- 将LongMemEval评估脚本中的data_path参数改为必需参数
- 将HaluMem评估脚本中的data_path参数改为必需参数
- 删除了硬编码的默认文件路径配置
- 强制用户显式指定数据集文件路径以避免路径错误

* Update __init__.py

* Update __init__.py

* fix(benchmark): 修复ReMe评估中的模型配置和空值处理问题

- 移除了retrieve_memory调用中不需要的llm_config_name参数
- 修复了长字符串打印的换行格式问题
- 添加了eval_result为空时的初始化处理
- 在accuracy评估中加入了eval_model_name参数传递

* style(benchmark): 格式化模型名称打印输出

- 移除了多行字符串中的换行符和多余空格
- 将模型名称信息合并为单行连续显示
- 保持了原有的打印格式和信息完整性

* docs(readme): 更新文档添加实验结果表格

- 在英文版 README 中添加 🧪 Experiments 章节
- 添加 LoCoMo 和 HaluMem 两个基准测试的结果表格
- 在中文版 README_ZH 中添加 🧪 实验 章节
- 添加 LoCoMo 和 HaluMem 测试集的实验配置说明
- 添加完整的实验数据对比表格和评估协议说明

* docs(readme): 更新文档中的内存系统链接

- 为基于文件的记忆系统添加锚点链接
- 为基于向量库的记忆系统添加锚点链接
- 修复英文文档中的链接格式
- 修复中文文档中的链接格式和空行问题

* docs(readme): update experimental results section in documentation

- Remove outdated experimental data placeholder "Coming soon..."
- Add complete evaluation results for LoCoMo and HaluMem benchmarks
- Include detailed performance metrics tables for all memory methods
- Update experimental settings description with ReMe backbone details
- Align evaluation protocol information with LLM-as-a-Judge approach
- Maintain consistent formatting between English and Chinese documentation

* docs(benchmark): add quick start guides for halumem and longmemeval experiments

- Created HaluMem experiment quick start guide with ReMe integration setup
- Added detailed steps for installing ReMe environment using conda
- Included repository cloning instructions for HaluMem benchmark
- Provided complete command examples for running HaluMem experiments
- Created LongMeMEval quick start guide with data download procedures
- Added wget commands for downloading cleaned dataset files
- Included evaluation script instructions for computing experiment statistics
- Documented parameter configurations for different model types and batch sizes

* docs(longmemeval): update quickstart guide documentation

- Changed project name from Halumem to Longmemeval in title
- Updated description to reference Longmemeval experiments instead of Halumem
- Maintained existing ReMe integration instructions unchanged

* chore(logger): add test comment to logger configuration

- Added test comment in logger utility function
- Removed duplicate log handling by keeping the remove() call

* chore(logger): add test comment to logger configuration

- Added test comment in logger utility function
- Removed duplicate log handling by keeping the remove() call

* feat(core): add file logging capability to application

- Added log_to_file parameter to Application class constructor
- Integrated log_to_file option in logger initialization
- Updated ServiceContext to support file logging configuration
- Modified init_logger function to conditionally enable file logging
- Added log_to_file field to ServiceConfig schema
- Updated ReMe class to include file logging option
- Wrapped file logging setup in conditional check to prevent unnecessary operations

* docs(benchmark): update HaluMem quickstart guide with dataset download instructions

- Replace repository cloning with direct dataset download using curl
- Add commands to download HaluMem-Medium.jsonl and HaluMem-Long.jsonl files
- Include both official Hugging Face and mirror download sources
- Update data path reference from nested directory to local data folder
- Add dataset page link and mirror usage instructions for mainland China access

* feat(memory): add profile retrieval tool and refactor profile management

- Introduce RetrieveProfile tool for fetching specific user profiles
- Refactor ProfileHandler to support both filesystem and vector backends
- Add async methods to ProfileHandler with synchronous fallbacks
- Update PersonalRetriever to support two-stage profile and memory retrieval
- Enhance PersonalSummarizer with improved tool partitioning logic
- Add profile_backend, profile_store_name, and profile_max_capacity configuration options
- Replace direct ProfileHandler imports with get_profile_handler method
- Implement profile search functionality with dedicated prompts and workflows
- Add FileProfileBackend and VectorProfileBackend implementations
- Update base memory tool with new profile configuration parameters

* feat(profile): add custom profile collection name support

- Add profile_collection_name parameter to Application constructor
- Allow custom database collection name for vector profiles instead of default suffix
- Update profile vector store configuration logic to use custom collection name
- Modify _ensure_profile_vector_store_config to handle custom collection names
- Update docstring with detailed parameter descriptions for profile configuration options

* test(history): add single history id acceptance test for multiple mode

- Add test case to verify multiple-mode history lookup accepts a single history_id string
- Create FakeVectorStore stub with minimal implementation for ReadHistory tests
- Return requested history node from vector store mock
- Initialize ReadHistory tool with multiple mode enabled
- Add pylint disable comment for protected access to vector store property

* refactor(memory): update profile handler and vector tools with improved formatting and error handling

- Add module docstring to profiles/__init__.py
- Add pylint disable comments for no-name-in-module and missing-function-docstring
- Format long error message in ProfileHandler.sync_run method for better readability
- Reformat parameters in ProfileHandler.aadd method to separate lines
- Update model_copy call in reme.py to span multiple lines for better readability
- Format aadd_batch call in update_profile.py to span multiple lines
2026-04-28 15:11:45 +08:00
Chojan Shang
f3d09aaa38
feat(vector_store): add OceanBase/seekdb vector store implementation (#201)
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* feat(vector_store): add OceanBase as a VectorStore

* refactor(obvec): make it cleaner

* docs: add obvec related info

* refactor: minor update

* refactor: clean code and pass lint

* docs: remove unrelated edit

* docs: minor update
2026-04-09 16:17:52 +08:00
jinliyl
37628ba524
refactor(truncation): improve file truncation logic (#184)
* refactor(file_store): simplify ChromaDB client initialization and improve file truncation logic

- Remove shutil import and _create_chroma_client method from chroma_file_store.py
- Directly initialize ChromaDB PersistentClient in start method without retry logic
- Reduce DEFAULT_MAX_BYTES from 100KB to 50KB in file_utils.py
- Update truncation notice format to provide clearer continuation instructions
- Add _truncate_fresh and _retruncate functions for better text truncation handling
- Replace inline truncation logic with dedicated function calls in file_utils.py
- Rename skills_tool_ids to md_file_tool_ids in tool_result_compactor.py
- Update file detection logic to identify any .md files instead of only skill.md
- Create comprehensive unit tests for truncation functionality in test_truncate_text_output.py

* chore(version): bump version to 0.3.1.6

- Update __version__ from 0.3.1.5 to 0.3.1.6 in __init__.py
2026-03-28 18:41:09 +08:00
Xinmin Zeng
bf79986f9c
fix: surface summarize/retrieve failures instead of masking them (#160)
* fix(memory): surface summarize and retrieve failures clearly

* fix(memory): make raise_exception configurable

* fix(tests): resolve flake8 and pylint errors in error handling tests

- Remove unnecessary sys.path.insert hack
- Add module/class/function docstrings
- Initialize call_kwargs in __init__ to fix W0201
- Suppress W0212 with inline pylint disable for _started access
- Remove unnecessary lambda wrappers (W0108)
2026-03-27 12:22:29 +08:00
jinliyl
dc8eab56a1
refactor(core): replace text truncation utilities with new marker system (#179)
* refactor(core): replace text truncation utilities with new marker system

- Remove old truncate_text_utils module and its exports
- Replace TRUNCATION_MARKER_START with _TRUNCATION_NOTICE_MARKER constant
- Update as_msg_stat.py to split content using new marker format
- Modify FileIO tool to use TRUNCATION_NOTICE_MARKER for continuation hints
- Change is_truncated function checks to use marker presence detection
- Move transformers dependency from main deps to light extra dependencies
- Update tool result compactor tests to verify marker instead of is_truncated calls

* feat(file_io): enhance file operations with path resolution and append functionality

- Add expanduser() to resolve file paths with ~ symbol
- Implement proper file existence and type validation in update_file
- Add new append_file method to append content to files
- Update truncation notice format for better readability
- Fix typo in error message from "provide" to "provided"
- Update transformers dependency in pyproject.toml
- Remove duplicate transformers dependency from light extras

* refactor(file_io): disable pylint too-many-return-statements warning

* perf(file_watcher): increase default polling delay and optimize watcher configuration

- Increased default poll_delay_ms from 1000ms to 2000ms to reduce CPU usage
- Removed force_polling parameter as it's no longer needed with updated polling strategy
- Simplified async watch configuration by removing conditional force_polling logic
- Reduced overall system resource consumption during file watching operations

* refactor(memory): update conversation log documentation in memory summary

- Changed "Raw conversation logs" to "Earlier conversation logs" for clarity
- Added warning note about potentially large dialog file sizes
- Improved formatting with additional line break for better readability
- Maintained existing compressed summary integration unchanged

* feat(memory): add long-term memory support to file-based memory system

- Initialize _long_term_memory attribute as empty string
- Add memories section to content when long-term memory exists
- Consolidate summary and memories into single user message
- Format memories with markdown header # Memories
- Maintain existing compressed summary functionality
- Join multiple content parts with double newlines
2026-03-26 12:10:24 +08:00
jinliyl
5b801c0d3e
refactor(file_io): update file I/O operations and truncation logic (#177)
* refactor(file_io): update file I/O operations and truncation logic

* refactor(memory): update file-based memory compaction logic
2026-03-25 20:21:37 +08:00
jinliyl
7b02c45218
style(memory): update message formatting and improve logging (#175)
* style(memory): update message formatting and improve logging

- Change default include_thinking parameter to True in as_msg_handler.py
- Replace angle brackets with square brackets for block formatting in as_msg_stat.py
- Add newline replacement in text truncation method in as_msg_stat.py
- Add loading duration timing to embedding cache loading in base_embedding_model.py
- Replace XML-style tags with markdown headers in compactor.py conversation format
- Update compactor.yaml prompts to reference markdown-style headers instead of XML tags
- Modify summarizer.py to use markdown-style conversation header format

* refactor(file-watcher): replace scan_on_start with rebuild_index_on_start parameter

- Replace scan_on_start and clear_on_start boolean parameters with single rebuild_index_on_start
- Update BaseFileWatcher constructor to use rebuild_index_on_start instead of two separate flags
- Modify initialization logic to clear and rescan when rebuild_index_on_start is True
- Remove scan_on_start parameter from CLI and light configuration files
- Update documentation to remove scan_on_start from quick start guides
- Rename all test methods and classes from scan_on_start to rebuild_index_on_start
- Add timezone-aware datetime helper method to summarizer component
- Format log message with proper line breaks for readability

* fix(core): resolve file watcher initialization issue and update version

- Fixed file watcher task creation to properly handle rebuild index on start logic
- Moved initialization and watch loop into async function to ensure proper execution order
- Updated package version from 0.3.1.1 to 0.3.1.2
- Added missing comma in embedding model logging statement

* fix(core): reduce max formatter text length limit

- Changed _DEFAULT_MAX_FORMATTER_TEXT_LENGTH from 2000 to 1000
- Updated constant value in as_msg_stat.py schema module

* fix(file-watcher): change default rebuild index behavior on start

- Changed rebuild_index_on_start parameter default from False to True
- This ensures index is rebuilt by default when file watcher starts
- Maintains consistent state initialization for file watching operations

* feat(compactor): add return_dict option and improve summary validation

- Add _is_valid_summary function to validate summary content format
- Introduce return_dict parameter to return structured results with validation
- Update prompt templates with clearer task descriptions and formatting rules
- Refactor update_user_message prompts to combine prefix and suffix logic
- Return dictionary with user_message, history_compact, and is_valid fields when enabled
- Add proper error handling for exception cases in memory compaction
- Maintain backward compatibility with string return when return_dict=False

* feat(memory): add thinking block configuration option

- Add add_thinking_block parameter to compactor component
- Pass include_thinking flag to message formatting in compactor
- Add add_thinking_block parameter to reme_light compact function
- Add add_thinking_block parameter to reme_light summarize function
- Add add_thinking_block parameter to summarizer component
- Pass include_thinking flag to message formatting in summarizer
- Remove previous-summary tags from compressed summary format
2026-03-24 00:20:15 +08:00
jinli.yl
b8619aaabc test(config): enable environment loading in test configuration 2026-03-20 15:22:28 +08:00
jinliyl
9a6cf2b994
Dev/token (#159)
* update

* refactor(memory): remove unnecessary type check and update error logging

* refactor(core): standardize logger import and update agentscope dependency

* fix(memory): disable console output and add logging for summarizer component

* feat(core): replace OpenAI token counter with custom ReMe token counter

- Replace OpenAITokenCounter with ReMeTokenCounter implementation
- Add support for HuggingFace mirror and configurable tokenizer
- Register ReMeTokenCounter as default token counter in registry
- Update config to use hf backend with Qwen2.5-7B-Instruct model

refactor(memory): convert token counting methods to async in message handlers

- Change count_str_token, stat_message, count_msgs_token to async methods
- Update format_msgs_to_str and context_check to use async token counting
- Modify _format_tool_result_output to support async token counting
- Adjust all dependent methods to await async token counting calls

feat(memory): add dialog persistence to in-memory storage

- Implement _append_messages_to_dialog for saving messages to JSONL files
- Add dialog_path parameter to ReMeInMemoryMemory constructor
- Persist messages to daily JSONL files based on timestamp grouping
- Update mark_messages_compressed to save and remove compressed messages
- Modify clear_content to persist all messages before clearing memory

refactor(ops): update token counter type hints and initialization

- Change BaseOp to use HuggingFaceTokenCounter instead of TokenCounterBase
- Update type annotations for as_token_counter property and parameters
- Remove direct token counter injection from Compactor and ContextChecker
- Pass as_token_counter parameter through service context mechanism

style(logging): improve error logging with exception details

- Replace logger.error with logger.exception in browser control tool
- Change logger.error to logger.exception in memory get tool error handling
- Add proper exception logging with stack trace information

chore(config): add token counter configuration to light YAML

- Add as_token_counters section with default hf backend configuration
- Configure Qwen/Qwen2.5-7B-Instruct model with mirror support enabled
- Set up pretrained_model_name_or_path and use_mirror parameters

test(context): update context check tests to async implementation

- Convert verify_context_check_invariants to async function
- Update context check test methods to use async calls
- Change stat_message calls to await async implementation
- Modify test_empty_messages and test_below_threshold_returns_all to async

* feat(core): implement context checking and memory management features

* refactor(core): replace direct loguru import with logger utility function

* refactor(reme): remove RuntimeContext dependency and simplify context checking

* feat(docs): add raw conversation persistence to ReMe framework
2026-03-17 11:07:31 +08:00
jinliyl
5e08aa48b8
refactor(memory): restructure file-based memory components and enhance message handling (#145) 2026-03-07 15:22:56 +08:00
jinliyl
d0c9d89092
feat(memory): add ContextChecker component for context size management (#144)
* feat(memory): add ContextChecker component for context size management

* refactor(memory): restructure file-based memory tools and update imports

* docs(readme): update documentation with detailed architecture and components

* docs(readme): update Chinese documentation with enhanced memory management diagrams

* refactor(cookbook): move cookbook files to test directory and clean up docs

* docs(readme): update link path for old version documentation

* docs(readme): update documentation with improved architecture diagrams and component details

* docs(readme): update documentation with improved clarity and structure

* refactor(docs): update in-memory memory documentation

* docs(readme): add experiment reproduction link to quickstart guide
2026-03-06 23:43:42 +08:00
jinli.yl
dcf97dc77f docs(readme): update documentation and examples 2026-03-06 16:34:04 +08:00
jinli.yl
a0d3120d53 fix(tests): update context check tests to handle additional return value 2026-03-06 16:18:50 +08:00
jinli.yl
46ffe42a40 feat(config): update ReMeLight initialization with default configurations 2026-03-06 15:50:47 +08:00
jinli.yl
32f9074235 refactor(memory): update import paths and enhance message token counting 2026-03-06 15:28:33 +08:00
jinli.yl
30278b4a4d style(tests): reorder imports in test_compactor.py 2026-03-06 02:09:55 +08:00
jinli.yl
22331ea963 refactor(tests): update test configurations and remove unused test file 2026-03-06 02:09:04 +08:00
jinli.yl
fc7b1cdba8 refactor(core): update registry registration syntax and improve code formatting 2026-03-06 01:57:29 +08:00
jinli.yl
3dc3c4bf52 feat(memory): replace memory formatter with AsMsgHandler for enhanced message processing 2026-03-05 20:27:24 +08:00
jinliyl
3347506e22
feat(file-watcher): add configurable retry for file watcher (#140)
* feat(file-watcher): enhance file watcher with robust path validation and interruptible sleep

* feat(file-watcher): enhance file watcher with robust path validation and interruptible sleep
2026-03-05 14:34:00 +08:00
jinliyl
9e2e98ef40
Dev/readme (#137)
* refactor(memory): rename copaw to reme and update module structure

* chore(release): bump version to 0.3.0.6b1

* refactor(docs): update README and ReMeLight implementation

* refactor(reme): rename ReMeCopaw to ReMeLight and remove CLI module

* docs(readme): update Chinese documentation with enhanced structure and content

* docs(readme): update Chinese documentation for context compression

* docs(readme): update context compression section header

* docs(readme): update documentation with installation and usage guide

* docs(readme): update Chinese documentation table

* chore(deps): update dependency extras configuration

* chore(test): remove deprecated test files for message operations

* docs(readme): update documentation with ReMeLight implementation changes
2026-03-04 18:43:21 +08:00
jinliyl
5584a5c239
feat(memory): add CoPaw file-based memory system with compaction and … (#134)
* feat(memory): add CoPaw file-based memory system with compaction and summarization

* feat(reme): add tool result cleanup and retention management

* fix(memory): resolve copaw memory processing and prompt formatting issues

* docs(reme_copaw): update documentation and initialization logic

* refactor(reme): remove override parameters from compact_tool_result

* feat(docs): update README to reflect CoPaw memory system integration

* chore(docs): update model names in documentation
2026-03-04 10:55:43 +08:00
jinli.yl
1d2cc36957 refactor(memory): integrate procedural memory into extension module 2026-02-27 14:55:00 +08:00
jinli.yl
e8d7c56739 feat(file_store): make embedding_model optional in base file store 2026-02-26 21:28:45 +08:00
jinli.yl
115373ab30 refactor(benchmark): remove unused llm config and update test parameters 2026-02-26 18:20:12 +08:00
jinli.yl
23f7c51a1a refactor(core): restructure application initialization and service context 2026-02-26 17:56:59 +08:00
jinli.yl
6efecf1a3e refactor(memory): rename fs components to fb and reorganize modules 2026-02-26 16:47:04 +08:00
jinli.yl
64b497e330 refactor(core): replace memory stores with file stores and update architecture 2026-02-26 14:18:12 +08:00
jinli.yl
e9757bccf6 refactor(core): restructure application initialization and component management 2026-02-24 19:45:47 +08:00
jinli.yl
48b1136707 refactor(memory_store): remove async executor for file operations and add metadata caching 2026-02-20 00:29:38 +08:00
jinli.yl
1cd957c14f feat(memory_store): add pure-python local memory store implementation 2026-02-19 23:58:54 +08:00
jinli.yl
71d36e61e4 feat(cli): add horse easter egg with fireworks and galloping animation 2026-02-15 20:25:57 +08:00
jinli.yl
cdda48aab4 feat(core): add async code execution and improve execution utilities 2026-02-14 21:27:04 +08:00
jinli.yl
52d21392f2 feat(store): add ChromaDB memory store implementation with hybrid search 2026-02-12 20:34:50 +08:00
jinli.yl
eae6c63d15 feat(cli): add ReMeCli class with interactive chat functionality 2026-02-11 17:23:15 +08:00
jinli.yl
700f09c088 chore(tests): remove memory path from console output in fs summary tests 2026-02-10 03:12:59 +08:00
jinli.yl
c98050dc0d feat(config): switch to thinking model and enhance memory system 2026-02-10 03:12:19 +08:00
jinli.yl
0692023379 refactor(core): rename API base parameters and remove snippet character limit 2026-02-10 00:30:06 +08:00
jinli.yl
82337ead33 feat(file-watcher): add file watching functionality with error handling 2026-02-08 21:37:55 +08:00
jinli.yl
0c23a3ac66 feat(core): add memory storage and context checking capabilities 2026-02-08 19:24:53 +08:00
jinli.yl
1a35150648 feat(core): add config path parameter and enhance fs cli capabilities 2026-02-08 04:56:10 +08:00
jinli.yl
f0bc2da7b0 feat(chat): add FsCli chat agent with streaming capabilities 2026-02-08 03:05:11 +08:00
jinli.yl
55d61f1dc5 refactor(core): update registry naming and application configuration 2026-02-07 15:05:02 +08:00
jinli.yl
de28c8e243 refactor(core): rename memory_storage to memory_store and add base fs tool 2026-02-07 03:37:12 +08:00