Import of 'datetime' is not used.

Write .STATUS to the actual repo root

This script says it updates the bridge .STATUS beacon, but bridge_root is set to Path(__file__).parent.parent, which resolves to .../prototypes for prototypes/sessions/update_status.py. As a result it writes prototypes/.STATUS instead of the real repo-root .STATUS, leaving the actual beacon stale and creating a second status file. Running the script in its intended context won’t update the file other tools read.

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Prevent shared memory writes from clobbering peers

Shared memory is supposed to be cross-session, but _save serializes self._entries to disk without reloading or merging, so any concurrent writer with a stale in‑memory snapshot will overwrite new entries from other sessions (“last writer wins”). If two sessions call memory.set(...) in separate processes, the second write drops the first session’s entry. Consider reloading/merging or using a file lock/append strategy before overwriting memory.json.

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The recursive find_replies() function has no depth limit. If there's a circular reference in in_reply_to (due to a bug or corrupted data), this will cause infinite recursion and a stack overflow. Even without circular references, a very long conversation thread could hit Python's recursion limit.

Consider implementing this iteratively with a visited set to detect cycles, or adding a maximum depth parameter.

Runtime-generated data files should not be committed to version control. Add .sessions/ to .gitignore.

The index rebuilding in _rebuild_indices() has O(n*m) complexity where n is the number of entries and m is the average number of tags per entry. For large memory stores, this could be slow. The method is called on every delete and after loading, potentially causing performance issues.

Consider incremental index updates rather than full rebuilds, or using a more efficient data structure for indexing.

The deadline date "2026-02-01" in the demo data is in the past relative to the PR timestamp of "2026-01-27". While this is just demo data, it creates a confusing example where a project deadline has already passed at the time the code is being reviewed.

Consider using a future date or a relative date format in examples to avoid this confusion.

The timezone handling in is_stale() is inconsistent. The replace('Z', '+00:00') approach assumes the timestamp ends with 'Z', but datetime.utcnow().isoformat() doesn't add a 'Z' suffix. This could cause a ValueError when parsing timestamps. Additionally, comparing a naive datetime (from datetime.utcnow()) with a timezone-aware datetime will raise a TypeError.

Consider making all datetime objects timezone-aware consistently, or use naive datetimes throughout.

The package setup specifies Python 3.8+ compatibility but doesn't declare support for Python 3.12 or later versions. Given that the PR is dated 2026 and Python 3.12 was released in 2023, the classifiers should be updated to include newer Python versions that are likely being used.

Consider adding classifiers for Python 3.12 and possibly 3.13 if they're supported.

The _cleanup_stale() method modifies session statuses to OFFLINE but doesn't remove them from the registry. Over time, this will cause the registry to accumulate offline sessions, potentially leading to memory bloat and performance degradation. While clear_offline() exists to manually clean these up, there's no automatic cleanup mechanism.

Consider implementing a maximum retention policy for offline sessions or automatically removing sessions that have been offline for an extended period.

The message storage keeps only the last 100 messages in _save_messages(), but the in-memory _messages list can grow unbounded during runtime. If many messages are exchanged before the process restarts, this could lead to memory issues.

Consider also limiting the in-memory list size, or implementing a circular buffer to prevent unbounded growth.

The shared memory system allows any session to store arbitrary data under any key without validation or sanitization. This creates several security concerns:

• No input validation on the value parameter (could store malicious code/data)
• No access control - any session can overwrite memory set by any other session
• No size limits on values - could lead to disk exhaustion
• No validation of memory types or tags

Consider adding validation, access controls, and size limits to prevent abuse.

Catching broad exceptions and printing warnings can mask serious issues. If saving fails due to disk full, permission errors, or other problems, the system continues as if everything is fine. This means:

• Sessions might think they're registered but aren't persisted
• Messages could be lost silently
• Memory updates might not be saved

Consider being more specific about which exceptions to catch, and potentially raise critical errors (like disk full) rather than silently continuing. Also add proper logging.