Comprehensive comparison of Claude Code, Gemini CLI, OpenCode, and Codex:
- Hooks/lifecycle events (Claude/Gemini best, OpenCode most comprehensive)
- Subagent spawning (MCP is universal bridge)
- File access (Gemini has path restrictions - skills-bo8)
- Sandboxing (Codex has OS-level, others approval-based)
- State persistence (need external store for cross-agent)
Key finding: Orchestrator pattern works across all agents.
Stop hooks only in Claude/Gemini - others need protocol-based gates.
Closes: skills-fqu
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
alice is for reviewing AGENT work in unattended/autonomous contexts,
not code review. Key use cases:
- Autonomous runs on ops-jrz1
- CI/CD pipelines with agents
- High-stakes changes without human oversight
Added hybrid approach recommendation: use alice concepts (Stop hook,
adversarial methodology) with our infrastructure (beads, orch).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Comprehensive analysis of emes idle/alice plugin:
- Hook chain (6 hooks, Stop is key blocker)
- State management via jwz (topic-based messaging)
- alice agent (read-only Opus reviewer)
- Circuit breakers against infinite loops
Conclusion: alice pattern is overkill for code-review (we ARE the
reviewer). More useful: "review reminder" hook that checks if
code-review was run before exit on significant changes.
Closes: skills-9jk
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Local (skills, dotfiles): beads + our dual-publish
Remote (ops-jrz1 VPS): tissue + emes ecosystem
They coexist by environment, not replacing each other.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Compares three approaches:
- Our system: cross-agent, Nix, lenses
- Claude plugins: official, hooks, marketplace
- emes: mechanical enforcement, tissue, idle, jwz
Living document for iterating on architecture.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Tested Claude Opus 4.5 on btop and GitHub screenshots.
Findings: excellent text/state/layout, approximate coordinates.
Recommendation: hybrid AT-SPI + vision approach.
