Skip to main content

Local web viewer for AI agent sessions

Project description

agentsview

Browse, search, and track costs across all your AI coding agents. One binary, no accounts, everything local.

Analytics dashboard

Install

# macOS / Linux
curl -fsSL https://agentsview.io/install.sh | bash

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://agentsview.io/install.ps1 | iex"

Or download the desktop app (macOS / Windows) from GitHub Releases.

Quick Start

agentsview serve           # start server, open web UI
agentsview usage daily     # print daily cost summary

On first run, agentsview discovers sessions from every supported agent on your machine, syncs them into a local SQLite database, and opens a web UI at http://127.0.0.1:8080.

Token Usage and Cost Tracking

agentsview usage is a fast, local replacement for ccusage and similar tools. It tracks token consumption and compute costs across all your coding agents -- not just Claude Code. Because session data is already indexed in SQLite, queries are over 100x faster than tools that re-parse raw session files on every run.

# Daily cost summary (default: last 30 days)
agentsview usage daily

# Per-model breakdown
agentsview usage daily --breakdown

# Filter by agent and date range
agentsview usage daily --agent claude --since 2026-04-01

# One-line summary for shell prompts / status bars
agentsview usage daily --all --json
agentsview usage statusline

Features:

  • Automatic pricing via LiteLLM rates (with offline fallback)
  • Prompt-caching-aware cost calculation (cache creation / read tokens)
  • Per-model breakdown with --breakdown
  • Date filtering (--since, --until, --all), agent filtering (--agent)
  • JSON output (--json) for scripting
  • Timezone-aware date bucketing (--timezone)
  • Works standalone -- no server required, just run the command

Session Stats

agentsview session stats emits window-scoped analytics over recorded sessions: totals, archetypes (automation vs. quick/standard/deep/marathon), distributions for session duration, user-message count, peak context, and tools-per-turn, plus cache economics, tool/model/agent mix, and a temporal hourly breakdown. The --format json output follows a versioned v1 schema (schema_version: 1) suitable for downstream consumers.

# Human-readable summary over the last 28 days
agentsview session stats

# Machine-readable JSON over a fixed date range
agentsview session stats --format json --since 2026-04-01 --until 2026-04-15

# Restrict to one agent and inspect the schema
agentsview session stats --format json --agent claude | jq '.schema_version'

Session Browser

Dashboard Session viewer
Dashboard Session viewer
Search Activity heatmap
Search Heatmap
  • Full-text search across all message content (FTS5)
  • Token usage and cost dashboard -- per-session and per-model cost breakdowns, daily spend charts, all in the web UI
  • Analytics dashboard -- activity heatmaps, tool usage, velocity metrics, project breakdowns
  • Live updates via SSE as active sessions receive new messages
  • Keyboard-first navigation (j/k/[/], Cmd+K search, ? for all shortcuts)
  • Export sessions as HTML or publish to GitHub Gist

Supported Agents

agentsview auto-discovers sessions from all of these:

Agent Session Directory
Claude Code ~/.claude/projects/
Codex ~/.codex/sessions/
Copilot CLI ~/.copilot/
Gemini CLI ~/.gemini/
OpenCode ~/.local/share/opencode/
OpenHands CLI ~/.openhands/conversations/
Cursor ~/.cursor/projects/
Amp ~/.local/share/amp/threads/
iFlow ~/.iflow/projects/
VSCode Copilot ~/Library/Application Support/Code/User/ (macOS)
Pi ~/.pi/agent/sessions/
OpenClaw ~/.openclaw/agents/
Kimi ~/.kimi/sessions/
Kiro CLI ~/.kiro/sessions/cli/
Kiro IDE ~/Library/Application Support/Kiro/ (macOS)
Cortex Code ~/.snowflake/cortex/conversations/

Each directory can be overridden with an environment variable. See the configuration docs for details.

PostgreSQL Sync

Push session data to a shared PostgreSQL instance for team dashboards:

agentsview pg push       # push local data to PG
agentsview pg serve      # serve web UI from PG (read-only)

See PostgreSQL docs for setup and configuration.

Privacy

No telemetry, no analytics, no accounts. All data stays on your machine. The server binds to 127.0.0.1 by default. The only outbound request is an optional update check on startup (disable with --no-update-check).

Documentation

Full docs at agentsview.io: Quick Start -- Usage Guide -- CLI Reference -- Configuration -- Architecture


Development

Requires Go 1.25+ (CGO), Node.js 22+.

make dev            # Go server (dev mode)
make frontend-dev   # Vite dev server (run alongside make dev)
make build          # build binary with embedded frontend
make install        # install to ~/.local/bin
make test           # Go tests (CGO_ENABLED=1 -tags fts5)
make lint           # golangci-lint
make e2e            # Playwright E2E tests

Pre-commit hooks via prek: make install-hooks after cloning (requires prek and uv).

Project Layout

cmd/agentsview/     CLI entrypoint
internal/           Go packages (config, db, parser, server, sync, postgres)
frontend/           Svelte 5 SPA (Vite, TypeScript)
desktop/            Tauri desktop wrapper

Acknowledgements

Inspired by claude-history-tool by Andy Fischer and claude-code-transcripts by Simon Willison.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

agentsview-0.23.0-py3-none-win_amd64.whl (7.8 MB view details)

Uploaded Python 3Windows x86-64

agentsview-0.23.0-py3-none-manylinux_2_28_x86_64.whl (7.6 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ x86-64

agentsview-0.23.0-py3-none-manylinux_2_28_aarch64.whl (7.0 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ ARM64

agentsview-0.23.0-py3-none-macosx_11_0_x86_64.whl (7.7 MB view details)

Uploaded Python 3macOS 11.0+ x86-64

agentsview-0.23.0-py3-none-macosx_11_0_arm64.whl (7.2 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file agentsview-0.23.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: agentsview-0.23.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 7.8 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for agentsview-0.23.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 0d27963b9f80fd04f833cec2e61ae12d2fd82822dae4972a4f4a6d6e37ad5984
MD5 1ac230115608274b2a379fc7173667b9
BLAKE2b-256 5fe779910eebe9d15ea02880b6c3999806c0bc626c30063999aff68a1917e2eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentsview-0.23.0-py3-none-win_amd64.whl:

Publisher: release.yml on wesm/agentsview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agentsview-0.23.0-py3-none-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for agentsview-0.23.0-py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8bdc6f2c8bdabb344716122daac3a453b37285958f5b0b5b094e20ac5ca860f7
MD5 ca1c5af5c66ec2cd23722ddc52828411
BLAKE2b-256 5a4f3cad789078ffe38ee3afdee6b3cc6b58def664f1c014c14a1826b94e0e8b

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentsview-0.23.0-py3-none-manylinux_2_28_x86_64.whl:

Publisher: release.yml on wesm/agentsview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agentsview-0.23.0-py3-none-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for agentsview-0.23.0-py3-none-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b30b5501261ad7d0b3c338fd1f4d7ea780cfecb45d4868d12cd1466b8b9b3436
MD5 3237079793dbb0cd0fefc61b3e286b08
BLAKE2b-256 83a2aabec663d678dfd364b31ce1ed0a83fae898c574ea8d86871b7801afe392

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentsview-0.23.0-py3-none-manylinux_2_28_aarch64.whl:

Publisher: release.yml on wesm/agentsview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agentsview-0.23.0-py3-none-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for agentsview-0.23.0-py3-none-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 fb02a9c555208e99783fc0a1d3a7a1769a2e2a875343007afc8253fca5e21457
MD5 70dcb44de732a68acb84a78f86523086
BLAKE2b-256 0c49fa5582623468cb16a6afe5524601bde4bb7901beede64231666c02abd3f6

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentsview-0.23.0-py3-none-macosx_11_0_x86_64.whl:

Publisher: release.yml on wesm/agentsview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agentsview-0.23.0-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for agentsview-0.23.0-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 99b71c91cf67525986e88ba66f9c82b224729dd7a039ae11321aff0c6b771bf0
MD5 883f77d0741710e4e554cee0e9e655c4
BLAKE2b-256 691f88757016cf6ac9978c8787482ae43530d10cb3282062499a86c21bf393b1

See more details on using hashes here.

Provenance

The following attestation bundles were made for agentsview-0.23.0-py3-none-macosx_11_0_arm64.whl:

Publisher: release.yml on wesm/agentsview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page