Commit Graph

4 Commits

Author SHA1 Message Date
DanielWalnut
75b7302000 feat: add IM channels for Feishu, Slack, and Telegram (#1010)
* feat: add IM channels system for Feishu, Slack, and Telegram integration

Bridge external messaging platforms to DeerFlow via LangGraph Server with
async message bus, thread management, and per-channel configuration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: address review comments on IM channels system

Fix topic_id handling in store remove/list_entries and manager commands,
correct Telegram reply threading, remove unused imports/variables, update
docstrings and docs to match implementation, and prevent config mutation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* update skill creator

* fix im reply text

* fix comments

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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 15:21:18 +08:00
DanielWalnut
3ada4f98b1 fix(memory): prevent file upload events from persisting in long-term memory (#971)
* fix(memory): prevent file upload events from persisting in long-term memory

Uploaded files are session-scoped and unavailable in future sessions.
Previously, upload interactions were recorded in memory, causing the
agent to search for non-existent files in subsequent conversations.

Changes:
- memory_middleware: skip human messages containing <uploaded_files>
  and their paired AI responses from the memory queue
- updater: post-process generated memory to strip upload mentions
  before saving to file
- prompt: instruct the memory LLM to ignore file upload events

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(memory): address Copilot review feedback on upload filtering

- memory_middleware: strip <uploaded_files> block from human messages
  instead of dropping the entire turn; only skip the turn (and paired
  AI response) when nothing remains after stripping
- updater: narrow the upload-scrubbing regex to explicit upload events
  (avoids false-positive removal of "User works with CSV files" etc.);
  also filter upload-event facts from the facts array
- prompt: move `import re` to module scope; skip upload-only human
  messages (empty after stripping) rather than appending "User: "

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(memory): allow optional words between 'upload' and 'file' in scrub regex

The previous pattern required 'uploading file' with no intervening words,
so 'uploading a test file' was not matched and leaked into long-term memory.
Allow up to 3 modifier words between the verb and noun (e.g. 'uploading a
test file', 'uploaded the attachment').

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* test(memory): add unit tests for upload filtering in memory pipeline

Covers _filter_messages_for_memory and _strip_upload_mentions_from_memory
per Copilot review suggestion.  15 test cases verify:

- Upload-only turns (and paired AI responses) are excluded from memory queue
- User's real question is preserved when combined with an upload block
- Upload file paths are never present in filtered message content
- Intermediate tool messages are always excluded
- Multi-turn conversations: only the upload turn is dropped
- Multimodal (list-content) human messages are handled
- Upload-event sentences are removed from summaries and facts
- Legitimate file-related facts (CSV preferences, PDF exports) are preserved
- "uploading a test file" (words between verb and noun) is caught by regex

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-03-05 11:14:34 +08:00
hetao
db0461142e feat: enhance memory system with tiktoken and improved prompt guidelines
Add accurate token counting using tiktoken library and significantly enhance
memory update prompts with detailed section guidelines, multilingual support,
and improved fact extraction. Update deep-research skill to be more proactive
for research queries.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 20:44:26 +08:00
hetaoBackend
0ea666e0cf feat: add global memory mechanism for personalized conversations
Implement a memory system that stores user context and conversation history
in memory.json, uses LLM to summarize conversations, and injects relevant
context into system prompts for personalized responses.

Key components:
- MemoryConfig for configuration management
- MemoryUpdateQueue with debounce for batch processing
- MemoryUpdater for LLM-based memory extraction
- MemoryMiddleware to queue conversations after agent execution
- Memory injection into lead agent system prompt

Note: Add memory section to config.yaml to enable (see config.example.yaml)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:31:05 +08:00