Iris Alternatives
Iris gives AI coding agents deterministic eyes inside your running app, verifying code by streaming DOM, network, and console signals over MCP.
Iris is a real-time web app monitoring tool for AI coding agents. It saves significant tokens but is limited to Chromium browsers, has sparse documentation, and is still in early development. If these limitations are an issue, the following alternatives address the gap from different angles—some focus on agent internal visualization, others on log analysis, and one adds recording, replay, and automatic fixing.
Quick Comparison
| Tool | Pricing | Rating | Best for |
|---|---|---|---|
| Iris (the original) | Free | 3.6 | - |
| Conan | Freemium | 4.3 | macOS users who need real-time visibility into Claude Code workflows |
| Aladeen | Free | 4.1 | Privacy-conscious developers who need to quickly identify recurring agent errors |
| VibeCheck | Freemium | 4.2 | Teams that need comprehensive recording and automatic fixing of frontend errors |
| SagerBuddy | Freemium | 4.5 | - |
| StackBuilder | Free | 4.5 | - |
| Tychi AI | Freemium | 4.5 | - |
A native macOS app that turns Claude Code into a live dashboard, surfacing every prompt, tool call, skill and token in real time, with context tracking.
Why it is a strong alternative
Conan provides real-time display of tokens and tool calls per prompt, complementing Iris’s real-time monitoring. Its native macOS experience is smooth, ideal for seeing agent internals instantly.
Best for
macOS users who need real-time visibility into Claude Code workflows
Pick it if
You use Claude Code and want token-level transparency, and can accept a macOS-only platform.
Pros
- Turns Claude Code into a readable, real-time dashboard
- One-time price with no subscription
- Tracks context and token usage in detail
Cons
- macOS 13 and up on Apple silicon only, no Intel support
- Windows and Linux are waitlist-only for now
- Full features require the paid purchase
Aladeen is a local, read-only tool that reads session logs from AI coding agents (Claude Code, Codex, Gemini, opencode), buckets failures by shape, and shows you where your runs keep getting stuck. No API keys, no telemetry, and it never runs anything. Built-in statistics: 199 sessions ingested, 37 recurring failure patterns, one error repeated 21 times across 3 projects, one session edited a single file 1,710 times in 2 minutes.
Why it is a strong alternative
Aladeen performs local read-only analysis of AI agent logs, automatically identifying repeated failure patterns. No internet required, no data leak risk, addressing Iris’s lack of post-hoc log analysis.
Best for
Privacy-conscious developers who need to quickly identify recurring agent errors
Pick it if
You want to automatically discover recurring failure patterns in AI agents from log files alone, without relying on external services.
Pros
- Read-only operation, safe and side-effect-free
- 100% local, no data leak risk
- No API keys, no telemetry
Cons
- Limited public information, only demo page available
- Pricing and detailed documentation not mentioned
- Support for additional agents or custom log formats not specified
VibeCheck captures screen recording, console logs, network calls, and environment details in two clicks, then shares a link so engineers see the full bug context.
Why it is a strong alternative
VibeCheck supports one-click recording of screen, logs, and network requests, with session replay for full debugging context. It can also auto-generate fix PRs, adding post-hoc analysis and auto-fix capabilities beyond Iris’s real-time monitoring.
Best for
Teams that need comprehensive recording and automatic fixing of frontend errors
Pick it if
You want not only real-time observation but also full session replay, and you want AI to directly generate fix code.
Pros
- One link captures recording, console, network, and environment together
- AI Fix drafts a pull request straight from the bug report
- Repro Links open without a recipient signup
Cons
- Free tier limits recording count and retention window
- Enterprise storage controls need a custom setup
SagerBuddy helps developers and technical leaders learn AI tools and workflows through structured roadmaps, skill packs, hands-on lessons, and an AI coach. It covers Claude Code, Cursor, AI agents, prompt engineering, MLOps, AI-native development, technical leadership, AI-native teams, and organizational transformation. Instead of only generating content, it turns learning goals into guided paths for understanding, practice, and review.
Pros
- Structured learning paths covering multiple AI-related topics
- Hands-on lessons emphasize practical application
- Built-in AI coach assists the learning process
Cons
- Limited public information; specific course details are not confirmed
- No mention of supported platforms or integrations
- Pricing is not disclosed; requires further inquiry
StackBuilder is a free, AI-driven tool that generates professional cloud architecture diagrams from natural language descriptions. It supports major platforms like AWS, Azure, GCP, and Kubernetes, and allows exports to PNG, SVG, and PDF. No registration is required, making it ideal for system design interviews, architecture documentation, and presentations.
Pros
- Generates architecture diagrams from natural language, eliminating manual drag-and-drop
- Uses official cloud icons for professional and easily recognizable diagrams
- Completely free and requires no registration, making it very accessible
Cons
- Limited public information on detailed node customization and layout control options
- Online generation means submitting system descriptions to a third-party service; sensitive architectures require risk assessment
- Currently only available as a web tool, with no offline version
Tychi is a self-custody wallet designed for AI agents, featuring a human REPL on the same keystore. It offers two surfaces: tyi-mcp (for Cursor, Claude, OpenClaw) and tyi CLI. Keys stay on your machine, and signing never leaves it. Policy caps run before every onchain action. Supports multi-wallet, onboard, and gasless routing.
Pros
- Self-custody with keys stored locally
- Signing never leaves the device
- Provides both tyi-mcp and tyi CLI interfaces
Cons
- Public info is limited; verify details on official site
- May target developers, with a learning curve for general users
How to choose
For Claude Code users wanting real-time token and tool call details, Conan is intuitive but macOS-only. For post-mortem failure analysis with privacy, Aladeen's local read-only log analysis pinpoints recurring errors. For full debugging context (screen, logs, network) and AI-generated fix PRs, VibeCheck offers one-click record/replay but has limited free tier and is frontend-focused.
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Open-source Alternatives
guidellm: Open-Source Tool for Evaluating and Optimizing LLM Inference
guidellm is an open-source tool developed by the vLLM team to evaluate and optimize Large Language Model (LLM) inference performance in production environments. It offers stress testing, latency analysis, and throughput assessment to help developers identify bottlenecks and fine-tune deployment configurations. The project is primarily written in Python and licensed under Apache-2.0. At the time of collection, it had 1214 stars on GitHub.
ai-gateway: Unified AI Gateway Based on Envoy Gateway
ai-gateway is an open-source project built on Envoy Gateway, offering a unified API gateway to manage access to diverse generative AI services. It simplifies AI application integration and operations by providing features like load balancing, caching, and rate limiting for various AI providers. The project is written in Go and licensed under Apache-2.0.
go-micro: Go framework fusing AI agent harness with microservices
go-micro is an open-source Go framework that fuses an AI agent harness with microservices, supporting MCP, A2A, and multi-LLM integration. It is licensed under Apache-2.0 and primarily written in Go. As of the collection time, the project had 22,755 stars on GitHub.
Kun: Local-First AI Agent Workspace
Kun is a local-first AI agent workspace that unifies coding, writing, design, research, and automation through a shared GUI and TUI runtime. The project is primarily developed in TypeScript and has an 'Other' license. As of collection time, it has 4813 GitHub stars.
terax-ai: Lightweight Tauri-based Desktop Dev Environment
terax-ai is a Tauri-based desktop development environment with a size of only 7-8 MB. It integrates a GPU terminal, CodeMirror editor, Git tools, and multi-provider AI agents, offering an all-in-one development experience. The project is primarily written in TypeScript and licensed under Apache-2.0.
jar-analyzer: Open-Source GUI Tool for Java JAR Analysis with AI Assistant
jar-analyzer is an open-source GUI tool for Java JAR package analysis, featuring an integrated AI assistant. It offers robust capabilities like JAR DIFF, method call graph exploration, DFS call chain analysis, taint analysis, and control flow graph (CFG) program analysis. Ideal for Java developers and security researchers, it streamlines code auditing and reverse engineering tasks. The primary language is Java, licensed under GPL-3.0, with 2111 GitHub stars at the time of collection.
