Memory scoring now uses the graph as source of truth:
- last_scored timestamp on each node (new capnp field @22)
- Nodes scored when older than scoring_interval_secs (default 1hr)
- Oldest-scored-first ordering
- Window: scoring_response_window assistant responses (default 100)
- First-quarter memories scored even without full window
- Per-response normalization (raw divergence / response count)
- Asymmetric weight update: alpha=0.5 up, alpha=0.1 down
(responds fast to importance, decays slowly — memories stay
surfaced even if only useful 1/4 of the time)
Graph writes disabled pending normalization calibration.
Also: configurable scoring_interval_secs and scoring_response_window.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
The agent lock was held for the entire duration of turn() — including
API streaming and tool dispatch awaits. This blocked the UI thread
whenever it needed the lock (render tick, compaction check, etc.),
causing 20+ second freezes.
Fix: turn() takes Arc<Mutex<Agent>> and manages locking internally.
Lock is held briefly for prepare/process phases, released during all
I/O (streaming, tool awaits, sleep retries). Also:
- check_compaction: spawns task instead of awaiting on event loop
- start_memory_scoring: already spawned, no change needed
- dispatch_tool_call_unlocked: drops lock before tool handle await
- Subconscious screen: renders all agents from state dynamically
(no more hardcoded SUBCONSCIOUS_AGENTS list)
- Memory scoring shows n/m progress in snapshots
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Memory tool results (memory_render) are now pushed as
ConversationEntry::Memory with the node key, instead of plain
Messages. Remove loaded_nodes from ContextState — the debug
screen reads memory info from Memory entries in the conversation.
Surfaced memories from surface-observe are pushed as separate
Memory entries, reflections as separate system-reminder messages.
User input is no longer polluted with hook output.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
