AgentPeek vs FluentDB: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AgentPeek and FluentDB — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
- Embed Claude Code and Codex sessions in the Mac notch and menu bar
- Live session replay and real-time visualization
- Permission prompts and response handling
- Token usage tracking and metrics
- Manage and monitor local development servers
- Local-first storage: session data stays on device
- Live visualization of Claude Code and Codex agent sessions in the Mac notch and menu bar
- Interactive permission prompts allowing users to answer agent prompts from the menu bar
- Token usage tracking and reporting for monitored agent sessions
- Management and monitoring of local development servers associated with agents
- Real-time dashboard for multi-agent orchestration and activity inspection
- Local-first architecture (runs on user's Mac rather than cloud-hosted by default)
- Distributed via a one-time license purchase
Best for
- Observing Multi-Agent Workflows: Watch real-time exchanges between agents to debug coordination issues or verify agent decision paths without opening developer consoles.
- Rapid Prompt Approval: Approve, modify, or answer permission prompts from the menu bar to speed up interactive sessions with Claude Code or Codex during development.
- Token Cost Monitoring: Track token usage during experiments to identify costly prompts or optimize prompt engineering for lower consumption.
- Local Development Management: Start and manage local dev servers used by agents directly from the app, simplifying local testing and iteration cycles.
- Desktop AI Command Center: Keep an always-on control surface for AI coding assistants (Claude Code, Codex) accessible from the Mac notch for quick coding help.
- Agent Behavior Auditing: Capture and inspect live session logs to audit agent outputs, confirm compliance with expected behavior, or reproduce bugs.
- Monitor and debug multi-agent interactions during local development
- Quickly view and respond to agent prompts from the Mac menu bar/notch
- Track token usage and costs while iterating on agents
- Run and control local dev servers for agent workflows
- Provide lightweight agent observability during demos or testing
- Monitor and debug multi-agent workflows spawned by Claude Code or Codex in real time
- Track and audit token consumption during agent runs for cost and performance analysis
- Answer permission or confirmation prompts quickly from the menu bar without switching windows
- Manage local development servers used by agent systems during development and testing
- Provide a lightweight dashboard for agent orchestration and visibility on macOS
FluentDB
FluentDB
Native macOS database client with an AI co-pilot for PostgreSQL, MySQL, SQLite, and SQL Server — bring your own model.
Key features
- AI Co-pilot with Guardrails: Ask questions in plain English and get trusted SQL, with safety checks that prevent destructive operations and data leakage.
- Bring Your Own Model: Point FluentDB at Anthropic (Claude Code), OpenAI (Codex), or a local Ollama model — prompts go direct to your provider, never through FluentDB.
- Schema-Aware SQL Editor: Full 2026-era editor with autocomplete, formatting, and instant results, and a one-click switch into AI mode.
- Fluid 100K+ Row Grid: A fast data table that scrolls thousands of rows smoothly without stutter, built for large datasets.
- Instant Chart Visualization: Turn any query result into a chart without leaving the app.
- MCP Integration: Connect any MCP-compatible AI agent to manage FluentDB connections on your behalf.
- Multi-Database Support: Connect to PostgreSQL, MySQL, SQLite, and SQL Server today, with MongoDB, Redis, ClickHouse, Snowflake, BigQuery, and DuckDB in the pipeline.
- Command Palette Browsing: Hit ⌘P to search and open any table or view in a snap.
Best for
- Ad-hoc Analytics on Production Databases: Ask FluentDB in plain English to summarize a table, then review and run the generated SQL against Postgres or MySQL.
- Safe Data Exploration: Junior engineers explore live databases without fear thanks to AI guardrails that block destructive statements.
- Local-Only Querying: Analysts working with sensitive data run queries against SQLite/SQL Server using a local Ollama model so nothing leaves the machine.
- Team License Management: A small team buys reassignable seats and shares one activation pool across multiple Macs.
- Agent-Driven Database Ops: Route an MCP-compatible coding agent through FluentDB to open connections and run queries autonomously.