Agent-Reach vs AgentPeek: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agent-Reach and AgentPeek — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
A
Agent-Reach
Agent-Reach
Agent-Reach is a free CLI and library that gives AI agents read and search access to 16 web platforms like Twitter, Reddit, YouTube, and GitHub.
Key features
- Unified Platform Access: Read and search 16 platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, and LinkedIn through one interface.
- Zero API Fees: Uses open-source upstream tools so agents browse without paid API keys.
- One-Command Install: pip install agent-reach then 'agent-reach install' wires the tools into the agent.
- Broad Agent Compatibility: Works with Claude Code, Cursor, OpenClaw, Windsurf, Codex, and more.
- Search & Read Modes: Supports both searching for content and reading specific URLs across supported platforms.
Best for
- Market & Social Research: Let an agent gather posts and discussions across Twitter, Reddit, and XiaoHongShu.
- Content Monitoring: Track YouTube, podcasts, and RSS feeds programmatically from within an agent.
- Developer Research: Pull GitHub and forum content into an agent's context for engineering tasks.
- Web Automation: Give a coding assistant the ability to read arbitrary URLs during a task.
AgentPeek
Tran Huu Hoang
Mac menu-bar app that puts Claude Code and Codex into the Mac notch to watch sessions, answer prompts, track tokens, and manage local dev servers.
Key features
- Notch & Menu-bar Integration: Embeds live Claude Code and Codex sessions into the Mac notch and menu bar for immediate, always-available access without switching windows.
- Live Session Viewer: Displays real-time agent activity and conversation streams so users can watch multi-agent interactions as they occur and inspect agent behavior.
- Interactive Prompt Handling: Surfaces permission prompts and allows users to answer, approve, or modify prompts directly from the menu-bar interface to control agent inputs.
- Token Usage Tracking: Monitors and reports token consumption per session or agent, helping developers manage costs and debug token-related issues.
- Local Dev Server Management: Provides controls to start, stop, and monitor local development servers tied to agent workflows, streamlining local testing and iteration.
- Local-first Privacy Model: Designed to run locally on the user’s Mac to minimize external data exposure and give users control over where agent data is processed.
- Release Log & Versioning: Public release log (changelog) with incremental releases (0.1.x series) so users can track features, fixes, and updates over time.
- Multi-agent Visualization: Integrates with multi-agent setups (per GitHub repo) to visualize interactions across agents for debugging and analysis.