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DATA 6de0bf9f5b Initial commit: hardened DeerFlow factory

Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection
hardening:

- New deerflow.security package: content_delimiter, html_cleaner,
  sanitizer (8 layers — invisible chars, control chars, symbols, NFC,
  PUA, tag chars, horizontal whitespace collapse with newline/tab
  preservation, length cap)
- New deerflow.community.searx package: web_search, web_fetch,
  image_search backed by a private SearX instance, every external
  string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>>
  delimiters
- All native community web providers (ddg_search, tavily, exa,
  firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail
  stubs that raise NativeWebToolDisabledError at import time, so a
  misconfigured tool.use path fails loud rather than silently falling
  back to unsanitized output
- Native client back-doors (jina_client.py, infoquest_client.py)
  stubbed too
- Native-tool tests quarantined under tests/_disabled_native/
  (collect_ignore_glob via local conftest.py)
- Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve
  newlines and tabs so list/table structure survives
- Hardened runtime config.yaml references only the searx-backed tools
- Factory overlay (backend/) kept in sync with deer-flow tree as a
  reference / source

See HARDENING.md for the full audit trail and verification steps.

2026-04-12 14:23:57 +02:00

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Memory System Improvements - Summary

Sync Note (2026-03-10)

This summary is synchronized with the main branch implementation. TF-IDF/context-aware retrieval is planned, not merged yet.

Implemented

Accurate token counting with tiktoken in memory injection.
Facts are injected into <memory> prompt content.
Facts are ordered by confidence and bounded by max_injection_tokens.

Planned (Not Yet Merged)

TF-IDF cosine similarity recall based on recent conversation context.
current_context parameter for format_memory_for_injection.
Weighted ranking (similarity + confidence).
Runtime extraction/injection flow for context-aware fact selection.

Why This Sync Was Needed

Earlier docs described TF-IDF behavior as already implemented, which did not match code in main. This mismatch is tracked in issue #1059.

Current API Shape

def format_memory_for_injection(memory_data: dict[str, Any], max_tokens: int = 2000) -> str:

No current_context argument is currently available in main.

Verification Pointers

Implementation: packages/harness/deerflow/agents/memory/prompt.py
Prompt assembly: packages/harness/deerflow/agents/lead_agent/prompt.py
Regression tests: backend/tests/test_memory_prompt_injection.py

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