agentsview 0.27.0

Local web viewer for AI agent sessions

agentsview

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

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.

Or run the published Docker image:

docker run --rm -p 127.0.0.1:8080:8080 \
  -v agentsview-data:/data \
  -v "$HOME/.claude/projects:/agents/claude:ro" \
  -e CLAUDE_PROJECTS_DIR=/agents/claude \
  ghcr.io/wesm/agentsview:latest

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.

Docker

The container image defaults to local agentsview serve. Set PG_SERVE=1 to switch the startup command to agentsview pg serve instead.

docker-compose.prod.yaml is included as a production example:

docker compose -f docker-compose.prod.yaml up -d

The included compose file persists the agentsview data directory in a named volume and mounts Claude, Codex, and OpenCode session roots read-only. The container runs as root, so prefer a named volume for /data over a host bind mount; if you do bind-mount, pre-create the directory with the desired ownership to avoid root-owned files in your home directory.

The examples publish the UI on loopback only (127.0.0.1). If you need to expose it beyond localhost, enable --require-auth and publish the port intentionally.

Important: a containerized agentsview instance can only discover agent sessions from directories you explicitly mount into the container. If you do not mount an agent's session directory and point the matching env var at it, that agent will not appear in the UI.

Example PostgreSQL-backed startup:

docker run --rm -p 127.0.0.1:8080:8080 \
  -e PG_SERVE=1 \
  -e AGENTSVIEW_PG_URL='postgres://user:[e-mail]:5432/agentsview?sslmode=require' \
  ghcr.io/wesm/agentsview:latest

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 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 stats

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

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

Session Browser

Dashboard	Session viewer

Search	Activity 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 1.26+ (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 + NilAway
make nilaway        # NilAway through custom golangci-lint
make e2e            # Playwright E2E tests

Pre-commit hooks via prek: run make lint-tools and 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