0a8e77e949
- Moved everything from ideas/passepartout/ to projects/passepartout/ - Moved legal structures to projects/flags/ - Created missing _index.org files for all subdirectories - Stripped redundant passepartout- prefix from filenames - Rewrote root _index.org as generalized brain index (projects + concepts) - Updated Hugo nav to Projects/Concepts - Updated build script section descriptions - Deleted stale ideas/passepartout-economics.md orphan
1.6 KiB
Gemini CLI — Google AI Coding Agent
Google's open-source coding agent. TypeScript, ~525K lines, Apache 2.0. Node.js 20+, Ink/React TUI.
Architecture: 7-package npm monorepo. Core backend handles Gemini API orchestration, tool execution, policy engine, safety checks, sandbox management, session management, MCP client. 7-strategy composite model routing chain.
Safety model: Multi-layered: CONSECA (Contextual Security Checker) — AI-driven per-request policy generation using a separate Gemini Flash model. 4 approval modes (PLAN/DEFAULT/AUTO_EDIT/YOLO). 6 sandbox methods (macOS Seatbelt, Docker/Podman, bwrap, gVisor, LXC, Windows). Trusted folders with path traversal protection. Policy integrity via cryptographic hashes. Loop detection.
Data model: JSONL session files. Turn-based conversation model. 4-layer config precedence (system-defaults → user → project → system-override). TOML policy files.
Self-modification: Modifiable hooks system, MCP extensions, custom commands. Core binaries are protected on disk by file permissions.
Verification: None.
Key gap vs Passepartout: No proof system, no persistent knowledge graph, no self-verification, no neurosymbolic architecture, lock-in to Google Gemini models. CONSECA is interesting (AI-generated policies) but introduces a second LLM call for every security decision — the opposite of Passepartout's zero-token deterministic gating.
See the full competitive analysis for the landscape view and comparison.