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- Implement Harness trait for agy harness adapter - Support streaming NDJSON turns via agy --output-format stream-json - Support multi-turn conversation resumption via --conversation <id> - Support project worktree directory and session skills via .agents/skills - Support dynamic model enumeration and auth verification via agy models - Support permission modes (ask, auto, bypass) and effort tiers (low, medium, high) - Add agy alias to orx install-skills - Add brand logo mark and model picker labels to web UI - Include comprehensive unit and stream folding tests Closes alphaXiv#223
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Description
Resolves #223
This PR integrates Google Antigravity (
agy) as a first-class coding-agent harness in OpenResearch (orx), alongside Claude Code, OpenAI Codex, OpenCode, and Cursor.Key Motivation
run_command,view_file,write_to_file,replace_file_content,list_dir,read_url_content).Changes
Harness Trait Implementation (
src/local/harness/antigravity.rs):agy --output-format stream-jsonper turn, folding streaming NDJSON intoTurnCtx.--conversation <conversation_id>.agy models.cwdand--add-dir..agents/skills.ask,auto,bypass), reasoning effort levels (low,medium,high), and command-based planning mode.agy_one_shot) for session titling and summaries.Registry & Storage (
src/local/harness/mod.rs,src/local/native_store.rs):Antigravityinregistry().antigravity_hometo native storage resolution.Skills Installer (
src/commands/install_skills.rs):antigravityandagyaliases toorx install-skills --agent <name>.Web UI & Dashboard (
ui/src/):antigravitytoHarnessIdinui/src/api.ts.ui/src/components/HarnessLogo.tsx.ui/src/components/ModelPicker.tsx.ui/dist.Testing:
antigravity.rsfor NDJSON stream folding, tool translation, model list parsing, and error result handling.harness/mod.rsandinstall_skills.rspassing.818 passed; 0 failed).cargo fmtandcargo clippy --all-targets.