If you're using AI coding agents in production — and especially if you're running more than one — you've probably noticed a gap in the toolchain.
You have the agents (Claude Code, Codex, Gemini CLI, Cursor). You have the IDE integrations. You have version control. But what you don't have is a unified view of what your agents are actually doing, how much they're costing, and where they're failing.
That's the observability gap — and it's becoming critical as multi-agent workflows go mainstream.
The Problem: Too Many Terminals
Here's a common scenario: you're running Claude Code on a refactor in one terminal, Codex generating tests in another, and a Gemini CLI session analyzing a third repo. To track costs, you're doing mental math. To find errors, you're scrolling through logs. To see context window usage — you can't.
The Solution Is Emerging
Open-source tools like AgentGlass (launched mid-July, 273+ GitHub stars) are filling this gap by providing:
- Unified cockpit — see all agents on one screen with live cost, tokens, and tool calls
- Session persistence — nothing disappears on refresh
- Cross-provider — Claude Code, Codex, Gemini CLI, Bedrock, LangChain, LiteLLM
- Built-in workspace — diff viewer, git client, PR review, Docker, terminal — all in one place
What This Means for Developers
- Track token/cost per project — no more guessing which agent is burning your budget
- Debug faster — error timelines and session lifecycles make root cause analysis instant
- Context window radar — see when an agent is about to compact before it happens
- Mobile triage — approve/deny gates, restart containers, review PRs from your phone
The Bottom Line
As AI coding agents move from experimental to essential, observability isn't optional. Whether you use AgentGlass, build your own, or wait for IDE vendors to add it — having a single pane for your agent fleet is becoming table stakes for serious AI-assisted development.
The toolchain is maturing. Don't let your agents run blind.
Read the full AgentGlass review at toolsdepth.com/reviews/agentglass-review-2026
Top comments (1)
The "too many terminals" problem becomes much more consequential once Claude Code is refactoring, Codex is generating tests, and Gemini CLI is analyzing another repository at the same time. Live cost and token tracking are useful, but the context-window radar may be the more valuable signal because compaction can quietly change an agent's behavior before an obvious error appears. For founders and platform engineers, the hard part will be defining retention, privacy, and project-level cost boundaries; a single cockpit only helps if teams can trust what it records and understand which workflow is actually paying off.