Agents Elements: A macOS Dashboard for Claude Code & Codex Installations

Agents Elements is a native SwiftUI macOS app that gives you visibility into everything Claude Code and Codex have installed locally — skills, subagents, commands, plugins, MCP servers, hooks, and active sessions. It scans ~/.claude and ~/.codex and presents a searchable dashboard.
Key Features
- All installed elements in one searchable list with rendered Markdown previews
- Session management: shows live, resumable, and stale sessions with token usage and a copy-paste resume command
- Token & cost analytics: Claude and GPT side by side
- Hooks/automation audit: what runs behind your back, including cleanup sweeps
- Permission visibility: each subagent's tools, each plugin's contributions
- Enable/disable plugins & skills from the UI — path-locked, backs up config first
Technical Details
- Built entirely by Claude in Claude Code — the author only steered
- Zero dependencies, reads everything locally, uploads nothing
- License: MIT, open source
- Repo: github.com/LasaleFamine/agents-elements
Who It's For
Developers who use Claude Code or Codex and want to audit and manage what their AI agents have installed without digging through dotfiles.
📖 Read the full source: r/ClaudeAI
👀 See Also

Claude Code's File-Based Memory System: A Pragmatic Alternative to Vector DBs
Claude Code implements a file-based memory system using .md files with frontmatter metadata and a MEMORY.md index, avoiding vector databases and embedding pipelines by scanning files, building manifests, and using a small model to select relevant memories.

Hypura: Storage-tier-aware LLM inference scheduler for Apple Silicon
Hypura is a Rust-based inference scheduler that places model tensors across GPU, RAM, and NVMe tiers to run models exceeding physical memory on Apple Silicon Macs. It enables running a 31GB Mixtral 8x7B on a 32GB Mac Mini at 2.2 tok/s and a 40GB Llama 70B at 0.3 tok/s where vanilla llama.cpp crashes.

Logira: eBPF Runtime Auditing for AI Agent Runs
Logira is an observe-only Linux CLI tool that records exec, file, and network events via eBPF during AI agent runs, with per-run local storage in JSONL and SQLite and built-in detection rules for credential access, persistence changes, and suspicious patterns.

cortex-engine MCP server adds persistent memory and multi-agent support
cortex-engine v0.4.0 is an open-source MCP server that gives AI agents persistent long-term memory with tools like observe(), query(), believe(), and dream(). It now supports multiple agents with isolated memory namespaces.