Curated with by@mohithkumar808

№ 0701Skill

pi-muse: Muse Code harness on Pi

A Pi fork that runs Muse Code's system prompt and tool interface on Pi's agent loop and TUI, as an open, hackable harness for Muse Spark 1.3.

souta-lab/pi-museREADME ↗

pi-muse

A fork of Pi that runs Meta's Muse Code
harness interface on top of Pi's agent loop, TUI, session, and provider layers.

Why this exists

Meta's Muse Spark 1.3 is widely discussed as a "benchmaxxed" model. Meta
co-trained it inside Muse Code and locks its best behavior to that harness, so the
model reaches its advertised performance mainly when it is driven by Muse Code's
system prompt and tool interface. This project is an alternative, open, hackable
harness for the same model: it keeps Pi's runtime and swaps in Muse Code's system
prompt and tool contract, so you can run Muse Spark 1.3 (Meta Model API or the
OpenCode Go gateway) without depending on Meta's closed CLI.

(The "benchmaxxed"/lock-in framing is the maintainer's motivation, not a statement
by Meta.)

Status

The harness interface is captured from a live Muse Code 1.2.1 session and verified by a
traffic-interception harness that runs the real muse CLI and pi-muse side by side,
replays the same canned response to both, and diffs their outbound requests:

System prompt byte-identical (40,445 chars, sent in the instructions field)
Tool surface 29 / 29 tools, identical order, 0 description diffs, 0 parameter diffs
Per-session developer message byte-identical, all sections
Request parameters all core checks pass (model, max_output_tokens, store, stream, reasoning, include)
Round trip after a tool call weighted fidelity 100%, tool-result strings equal

Reproduce it with npm run muse:parity. Not implemented: an OS sandbox, deterministic
replay, hooks/MCP/plugins.

Muse Code fidelity

The interface was captured from a live Muse Code 1.2.1 session (muse-spark-1.3-contributor)
rather than reconstructed from docs: the runtime instructions, the muse namespace
tool group, and the per-session developer message. The captured prompt is mirrored at
https://github.com/souta-lab/muse-code-system-prompt.

Area Status
Runtime system prompt Byte-identical to the capture (40,445 chars, muse.<tool> refs included)
Tool surface 29/29 tools; 0 description diffs; 0 parameter/strict leaf diffs; identical order
read_file, write_file, edit_file, search, bash, bash_input, read_memory, add_memory, edit_memory, workflow, `write_to
pi-muse: Muse Code harness on Pi on github.com

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