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agentsview

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Local-first session intelligence and analytics for AI coding agents. 100x faster cost tracking than ccsage, supporting Claude Code, Codex, and 20+ agents. All data stays on your machine.

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Download Download Version

v0.32.1 · 87.4 MB

One binary to browse, search, and track costs across all your AI coding agents. Local-first, no account needed.

Core Features

  • Auto-discovery of 20+ AI coding agents' session data on your machine
  • Full-text search across all messages using SQLite FTS5
  • Token usage and cost dashboards with per-session and per-model breakdowns
  • Activity heatmaps, tool usage, velocity metrics, and project breakdowns
  • Live SSE updates as new messages arrive in active sessions

What It Can't Do

  • First run may take some time to scan all session directories; subsequent runs are fast due to incremental indexing
  • By default binds to 127.0.0.1:8080 only; for remote access you must set --public-url and consider enabling --require-auth to prevent DNS rebinding attacks
  • In Docker, you must explicitly mount agent session directories for auto-discovery to work
  • Git outcome metrics (commits, PRs) are opt-in (--include-git-outcomes) because they can be slow on large repositories

Use Cases

  • Developers or teams who need a unified view of session logs and token costs across multiple AI coding agents
  • Users looking for a local, fast alternative to ccsage for cost tracking without relying on cloud services

Detailed Introduction

agentsview is a local-first, single-binary analytics tool that discovers, indexes, and presents session data from over 20 AI coding agents (Claude Code, Codex, Copilot CLI, etc.) in a clean web UI. It replaces tools like ccsage with a 100x speed boost by using a local SQLite database instead of re-parsing raw session files. Features include full-text search, token usage and cost dashboards, activity heatmaps, per-session cost breakdowns, live SSE updates, keyboard navigation, and session export. It also offers a CLI for daily cost summaries and per-model breakdowns. No accounts, no cloud upload — everything stays local. Supports Docker deployment with optional PostgreSQL backend, DuckDB mirroring, and Quack for remote access.

Tags

ai-coding-agentstoken-trackingcost-analysislocal-firstclaude-codecodexsession-analyticsdeveloper-tools

Getting Started

1

Download installer

Click the button above to download the installer for your system

2

Install the software

Install the appropriate package for your distro (dpkg / rpm / AppImage)

3

Run the install command in terminal (macOS/Linux: curl -fsSL https://agentsview.io/install.sh | bash; Windows: irm https://agentsview.io/install.ps1 | iex)

4

After installation, run agentsview serve to start the web server

5

Open http://127.0.0.1:8080 in your browser to see the dashboard and sessions

Install Guide
  1. Run the install command in terminal (macOS/Linux: curl -fsSL https://agentsview.io/install.sh | bash; Windows: irm https://agentsview.io/install.ps1 | iex)
  2. After installation, run agentsview serve to start the web server
  3. Open http://127.0.0.1:8080 in your browser to see the dashboard and sessions
File Integrity

SHA-256 checksum verified

Checksum extracted from GitHub official Release page

SHA256 Checksum

619b1c4a9f166230eab1569e6b146c1c8624fdaf13db1f0bc2e1190aa90c6108

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Open Source Transparency

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Environment Guide

Uninstall Info

Delete the agentsview binary (default ~/.local/bin/agentsview) and the configuration directory (~/.agentsview), or use your package manager (e.g., brew uninstall agentsview).

No Extra Dependencies

Ready to use after download. No additional runtime required.

Project Info
LicenseMIT
Last Updated2026-06-12T06:57:31Z
GitHub RepositoryOfficial Website

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