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Feral v2026.07.19

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@github-actions github-actions released this 19 Jul 08:21
v2026.07.19
f73648c

A big one. Feral can now split work across sub-agents, ask you a question
mid-task from any channel, and train a personal LoRA on your own machine. It
also installs in a single command on every platform, and a batch of local/cloud
model-selection bugs are gone.

Added

  • Sub-agents. The agent can now hand a piece of work to a fresh sub-agent
    (delegate_task), run several in parallel, and stream their progress back
    live. A depth guard stops an agent from recursively spawning itself into a
    fork bomb.
  • The agent can ask you a question mid-task — from anywhere. If it hits a
    real fork in the road it stops and asks instead of guessing. This now works
    over the connectors (Discord/Slack/WhatsApp — the question comes back in the
    same channel) and in the feral chat TUI, not just the desktop app.
  • On-device LoRA trainer, bundled. Feral can now fine-tune a personal
    adapter on your own hardware (Unsloth when available, with a graceful
    fallback), gated behind an A/B eval so a worse adapter never gets promoted.
    Requires an NVIDIA GPU to train.
  • Universal one-command installer. A single command detects your OS and sets
    everything up — Windows, macOS, and Linux. Per-platform quick-install lines
    are now at the top of the README.
  • Per-connector persona. Each connector can run with its own persona
    (--persona), so the same Feral can be a support bot in one channel and your
    personal agent in another.
  • The agent can see its own subsystems. Every RSI layer now reports into
    self-health, so the agent can actually reason about the parts of itself that
    were previously running invisibly.

Fixed

  • Replies are no longer cut off. A phantom 4096-token cap on chat replies is
    gone — long answers finish.
  • A local model no longer shrinks your cloud model's context window. A
    resident local GGUF was stealing the context window from an active cloud
    model (e.g. capping a 1M-context model at 8192). Local and cloud windows are
    now independent.
  • You pick the model — always. Switching to a cloud model used to leave the
    local GGUF resident, and some paths let the API pick a model on its own. The
    model you choose is the model that runs, and switching away actually unloads
    the old one.
  • The Dream Cycle no longer runs with no model loaded. Background
    self-improvement is gated on there being an active model.
  • web_search no longer reports success on an empty result. An empty search
    is now treated as the failure it is, so the fallback path actually fires.
  • Cloud model settings show only what applies (temperature, not local-only
    knobs), and folders start collapsed.
  • BYOK base URLs are normalized on the plain-env path the same way the
    keychain path already did them.
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