FinancialSituationMemory stored all learned lessons in RAM-only Python
lists with no persistence layer. Every process restart or new
TradingAgentsGraph() instance wiped all memory, making
reflect_and_remember() useless in practice — especially in server/API
deployments where a new graph is created per request.
Changes:
1. memory.py — add optional JSON file persistence:
- New config key `memory_persist_dir`: when set to a directory path,
each memory instance writes `<dir>/<name>.json` on every mutation
(add_situations / clear) and loads it on construction.
- When unset or None (the default), behaviour is identical to before
(RAM-only) — fully backward compatible.
- Atomic-ish writes via .tmp → rename to avoid corruption on crash.
- Graceful handling of corrupt / missing / partial JSON files.
- Tilde expansion (`~/...`) and automatic parent directory creation.
2. default_config.py — add `memory_persist_dir: None` to DEFAULT_CONFIG.
3. main.py — enable persistence in the example and improve
reflect_and_remember documentation comment.
4. tests/test_memory_persistence.py — 21 regression tests covering:
- RAM-only backward compatibility (5 tests)
- Persistence round-trip, incremental add, clear, BM25 rebuild,
JSON schema, Unicode (7 tests)
- Edge cases: corrupt JSON, missing keys, mismatched lengths,
nested directory creation, tilde expansion (5 tests)
- Multiple instances sharing same directory (1 test)
- Default config key existence (2 tests)
- Source audit: TradingAgentsGraph passes config to all 5 memories (1 test)
Closes#563
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
voidborne-d
voidborne-d
Yijia-Xiao
Max Wong
Yijia Xiao
Geeta Chauhan
Edward Sun
maxer137