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Add a persistent IPython tool backed by a Jupyter kernel, with an auto-bootstrapped uv-managed Python runtime, so variables and imports survive across tool calls.
Add the RLM harness and prime-agent-runtime bridge so IPython code can spawn recursive child agent sessions via rlm.run, with subagent tray, detail views, and chat-style child transcripts.
Add /goal for long-running objectives and /usage for on-demand token, cost, and context usage.
Add Prime Inference as a built-in OpenAI-compatible provider with a /login browser auth flow, plus a pi-style installer with R2-backed tarball releases.
Make IPython the default tool set, restarting the kernel on compaction and using cached, compact cell rendering to cut TUI redraw lag.
Fix RLM child usage aggregation, kernel port binding, child-run disposal races, and auto-compaction threshold checks.
Remove legacy read/write/grep/find/ls tools, the separate RLM background API, and install/update telemetry pings.