.gitmodules

[submodule "plugins/plugin-local-inference/native/llama.cpp"]
	# The single canonical llama.cpp checkout for the whole repo. This is the
	# elizaOS/llama.cpp fork (tracking main): the unified
	# fork with the eliza kernels (Q4_POLAR / QJL1_256 / TBQ4_0 / TBQ3_0
	# GGML types + Metal/Vulkan/CUDA kernels). The host build
	# (build-llama-cpp-desktop-dylib.mjs) + AOSP cross-compile
	# (aosp/compile-libllama.mjs) default to this submodule; bun's postinstall
	# (scripts/ensure-llama-cpp-submodule.mjs) initializes it. The fork is
	# itself a llama.cpp fork, so it carries convert_hf_to_gguf.py /
	# llama-quantize / llama-cli too — the training pipeline's plain Q4_K_M
	# GGUF path uses the fork's tooling (there is no separate "stock upstream"
	# submodule). build/ is gitignored by llama.cpp's own .gitignore so only
	# the gitlink (commit SHA) is tracked.
	path = plugins/plugin-local-inference/native/llama.cpp
	url = https://github.com/elizaOS/llama.cpp.git
	branch = main

[submodule "plugins/plugin-agent-orchestrator/vendor/opencode"]
	# opencode — the elizaOS fork of the opencode AI coding agent.
	# Used by plugin-agent-orchestrator to spawn opencode sub-agents.
	# The binary is expected on PATH after build; hasBinaryOnPath("opencode")
	# in task-agent-frameworks.ts gates its use.
	path = plugins/plugin-agent-orchestrator/vendor/opencode
	url = https://github.com/elizaOS/opencode.git
	branch = dev

[submodule "upstreams/electrobun"]
	path = upstreams/electrobun
	url = https://github.com/elizaOS/electrobun.git
	branch = develop