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

# 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 via
homebrew: brew install --cask agentsview
Or run the published Docker image:
docker run --rm -p 127.0.0.1:8080:8080 \
-v agentsview-data:/data \
-v "$HOME/.claude/projects:/agents/claude:ro" \
-v "$HOME/.forge:/agents/forge:ro" \
-e CLAUDE_PROJECTS_DIR=/agents/claude \
-e FORGE_DIR=/agents/forge \
ghcr.io/kenn-io/agentsview:latest
agentsview serve # start foreground server
agentsview serve --background # start server and return to the shell
agentsview serve status # show whether a server is running
agentsview serve stop # stop the running server
agentsview session list # read from the daemon if warm, otherwise SQLite
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 serves a web UI at
http://127.0.0.1:8080.
For Devin CLI, point DEVIN_DIR or devin_dirs at the local root that contains
cli/ — for example ~/Library/Application Support/devin on macOS,
~/.local/share/devin on Linux, or a redacted path like
.../Application Support/devin. AgentsView reads session data under
<root>/cli/... and intentionally ignores copied config or OAuth paths. Do not
paste tokens, OAuth files, or other secrets into bug reports.
Claude and Codex sources can also be configured as s3:// roots, so a central
AgentsView instance can read sessions that other machines push to S3-compatible
object storage. Add those roots to claude_project_dirs or
codex_sessions_dirs; AgentsView lists object metadata and only downloads
changed sessions during sync. S3 change detection uses size, modified time, and
available object fingerprints such as ETag, version ID, or checksums.
The desktop app and freshness-sensitive CLI commands share a detached local
daemon. Read-only CLI commands attach to it when it is already running, but fall
back to direct read-only SQLite on a cold archive so one-off scripts stay fast.
Commands that need fresh data or need to write, such as sync, usage,
token-use, pg push, and duckdb push, auto-start the daemon when needed.
Use agentsview serve --background when you want to start the daemon
explicitly. The command prints the server URL, process ID, and log path
(~/.agentsview/serve.log). Check on it with agentsview serve status and shut
it down with agentsview serve stop. Background daemons self-exit after an idle
period unless a client request or daemon-owned job is active.
agentsview binds to loopback and validates the request Host header to guard
against DNS-rebinding attacks. When you reach it through SSH port-forwarding, a
reverse proxy, or a remote dev environment (exe.dev, Codespaces, Coder, WSL2),
the browser sends a Host that the server does not recognize, so API requests
such as /api/v1/settings are rejected with 403 Forbidden.
To fix this, restart the server with --public-url set to the exact origin you
open in the browser:
# Browser opens http://127.0.0.1:18080 via `ssh -L 18080:127.0.0.1:8080 host`
agentsview serve --public-url http://127.0.0.1:18080
# Browser opens a forwarded hostname
agentsview serve --public-url https://your-workspace.exe.dev
Use --public-origin (repeatable or comma-separated) to trust additional
browser origins. If you expose the UI beyond loopback, also enable
--require-auth.
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, Forge, 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:password@postgres.example.com:5432/agentsview?sslmode=require' \
ghcr.io/kenn-io/agentsview:latest
Example DuckDB mirror startup:
# Populate /data/sessions.duckdb from the mounted SQLite archive.
docker run --rm \
-v agentsview-data:/data \
-v "$HOME/.claude/projects:/agents/claude:ro" \
-e CLAUDE_PROJECTS_DIR=/agents/claude \
ghcr.io/kenn-io/agentsview:latest duckdb push --full
# Serve the populated mirror read-only.
docker run --rm -p 127.0.0.1:8080:8080 \
-v agentsview-data:/data \
ghcr.io/kenn-io/agentsview:latest duckdb serve
Example Quack startup:
# Expose the local DuckDB mirror over Quack from the host/container.
QUACK_TOKEN="$(openssl rand -base64 32)"
docker run --rm -p 127.0.0.1:9494:9494 \
-v agentsview-data:/data \
ghcr.io/kenn-io/agentsview:latest \
duckdb quack serve \
--bind quack:0.0.0.0:9494 \
--token "$QUACK_TOKEN" \
--allow-insecure
# Serve the web UI from a remote Quack endpoint.
docker run --rm -p 127.0.0.1:8080:8080 \
-e AGENTSVIEW_DUCKDB_URL='quack:https://duckdb.example.com' \
-e AGENTSVIEW_DUCKDB_TOKEN="$QUACK_TOKEN" \
ghcr.io/kenn-io/agentsview:latest duckdb serve
Keep Quack on loopback or behind TLS. Plain HTTP Quack on a non-loopback bind
requires --allow-insecure and should only be used behind a trusted tunnel or
reverse proxy.
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:
--breakdown--since, --until, --all), agent filtering (--agent)--json) for scripting--timezone)agentsview session usage <id> prints per-session token statistics plus a cost
estimate for a single session. The output reports the session's total output
tokens and peak context tokens, plus a cost estimate in USD (cost_usd) when
pricing is available for the session's model(s) (has_cost). Cost is computed
from input/output and cache tokens internally, but only the output-token and
peak-context totals are reported alongside the cost.
# Print token usage and cost for a specific session
agentsview session usage <id>
# JSON output for scripting
agentsview session usage <id> --format json
The same per-session usage data is available from the REST API:
GET /api/v1/sessions/{id}/usage
The response includes the session_id, agent, project,
total_output_tokens, peak_context_tokens, has_token_data, cost_usd,
has_cost, models, and unpriced_models fields from the CLI JSON schema.
HTTP responses also include server_running: true. Existing sessions return
200 even when token or cost data is absent; missing sessions return 404.
The deprecated alias agentsview token-use <id> remains available for
compatibility and now also reports cost estimates.
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.
By default, stats only reads the local SQLite archive. Git-derived outcome
metrics are opt-in because they can be slow or brittle on large/missing repos:
use --include-git-outcomes for commits/LOC/files changed, and
--include-github-outcomes for GitHub PR counts via gh (this also enables git
outcomes).
# 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'
# Include expensive local git outcome metrics explicitly
agentsview stats --include-git-outcomes
| Dashboard | Session viewer |
|---|---|
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| Search | Activity heatmap |
|---|---|
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j/k/[/], Cmd+K search, ? for all
shortcuts)agentsview discovers sessions from all of these. Aider is opt-in because it has
no central session directory; set AIDER_DIR or aider_dirs to enable it. Amp
support is deprecated because current Amp releases may store threads server-side
and leave only local stubs; agentsview can still parse historical local Amp
thread JSON files.
| Agent | Session Directory |
|---|---|
| Aider | <repo>/.aider.chat.history.md (per repo; opt in with AIDER_DIR or aider_dirs) |
| Amp (deprecated) | ~/.local/share/amp/threads/ (historical local thread JSON only) |
| Antigravity | ~/.gemini/antigravity/ |
| Antigravity CLI | ~/.gemini/antigravity-cli/ (see note below) |
| Claude Code | ~/.claude/projects/ |
| OpenClaude | ~/.openclaude/projects/ |
| Claude Cowork | ~/Library/Application Support/Claude/local-agent-mode-sessions/ (macOS) |
| Codex |
$ claude mcp add agentsview \
-- python -m otcore.mcp_server <graph>