the daily-log-first approach is a smart design choice — it decouples capture from commitment. curious about one edge case though: what happens when two parallel claude code sessions write to the same daily log simultaneously? with long-running tasks it's common to have multiple sessions open on the same project, and the daily logs are plain markdown files with no locking.
also, how consistent is the model at applying the five-point write gate? "does this change future behavior" feels clear in theory, but in practice i'd expect the model to be overly conservative (dropping things that matter) or overly permissive (saving trivia that felt important mid-session) depending on context. have you noticed any patterns in what slips through vs what gets filtered incorrectly?
Concurrent sessions: it's a real edge case but the blast radius is small. Daily logs are append-only by convention, so two sessions writing at the same time would mean interleaved or lost entries at worst. Registers and CLAUDE.local.md are theoretically higher risk since they get modified rather than appended to, but promotion is user-initiated via /recall-promote, so you'd have to be promoting in both sessions at the same time to hit it. The race window exists (edit tool does read-then-write, not atomic append) but I haven't hit it in practice.
Cleanest fix if it ever matters: per-session log files (YYYY-MM-DD-session-abc.md) so there's no conflict on capture, and recall-promote just reads all of them. Not worth adding file locking or restructuring for a problem that hasn't bitten anyone yet.
Write gate consistency: in my experience the model errs conservative (misses things) rather than permissive (saves junk). For me I actually prefer that direction since saving too much degrades the whole system over time, while missing something important is easy to fix. You just say "remember this" and it bypasses the gate. That explicit override (item 5 on the gate) has been more reliable than trying to tune the automatic criteria to be more permissive.
the capability separation architecture is the most compelling part of this — agent process has secrets but no network, fetch proxy has network but no secrets. clean threat model.
curious about one gap though: how does pipelock handle agents that spawn other agents? in multi-agent setups, agent A might schedule agent B through a cron job, task queue, or even just writing a shell script that runs later. the integrity monitor catches file changes, but by the time you detect the new script, the spawned agent might already be running with inherited env vars and no proxy in front of it.
do you see the MCP proxy as the answer there — wrapping every possible execution path — or is there a different approach for controlling the blast radius of agent chains?
also, how consistent is the model at applying the five-point write gate? "does this change future behavior" feels clear in theory, but in practice i'd expect the model to be overly conservative (dropping things that matter) or overly permissive (saving trivia that felt important mid-session) depending on context. have you noticed any patterns in what slips through vs what gets filtered incorrectly?