No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jazzyalex · Codex Skill · ★ 873
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-sessions safe to install? View the security audit →
Agent Sessions (macOS) Unified session browser for Codex CLI, Claude Code, Cursor, Gemini CLI, GitHub Copilot CLI, OpenCode, and OpenClaw. Droid histories remain importable for legacy sessions, but Droid is no longer an actively supported provider. Search, browse, and resume your past AI-coding sessions in a local-first macOS app. Requires: macOS 14+ License: MIT Security & Privacy: Local-only. No telemetry. Details: and Download Agent Sessions 3.6.2 (DMG) • All Releases • Install • Resume Workflows • Development Overview Agent Sessions helps you search across large session histories, quickly find the right prompt/tool output, then reuse it by copying snippets or resuming supported sessions in your terminal. Transcript view with search (Dark Mode)<
| Stars | 873 |
| Forks | 63 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.8051602227263/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-23 |
| Created | 2025-09-19 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~16k |
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agent-sessions is Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across Codex, Claude Code, OpenCode, Cursor Agent, Antigravity, Hermes, OpenClaw, Copilot CLI, an. It is categorized as a Codex Skill with 873 GitHub stars.
agent-sessions is primarily written in Swift. It covers topics such as agentic-workflow, ai, ai-coding-agents.
You can find installation instructions and usage details in the agent-sessions GitHub repository at github.com/jazzyalex/agent-sessions. The project has 873 stars and 63 forks, indicating an active community.
agent-sessions is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-sessions on Agent Skills Hub include octopus, claudexor, pilot-shell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: