DBDelve
Dive deep into your data. A fast, native, multi-engine database client written in Rust. Free and open source, no telemetry.
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Find every AI agent running across your clouds, map which agent calls which, and see what each one costs. No SDK, no code changes, nothing leaves your infrastructure.
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See every AI agent you run — what it costs, who spawned what, and get paged when one silently stops. Zero-instrumentation fleet inventory, lineage, and cost tracking for enterprise Agentic AI.
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Read the full README ↗See every AI agent you run — what it costs, who spawned what, and get paged when one silently stops.
The open-source core powering ThoughtShieldAI — the AI control plane for enterprise Agentic AI. Everything in this repo is real, shipped, and MIT-licensed; nothing here is a mockup.
Teams now run dozens of coding agents across Claude Code, Codex, OpenClaw, Hermes, and their clouds — and nobody can answer "what's running, why, and what did it cost?" AnveInspect answers it with zero instrumentation: it reads the logs your agents already write and reuses the platform CLIs you're already signed into. One dashboard, one CLI, and an MCP server so Claude itself can operate the fleet.
git clone https://github.com/ANVEAI/anveinspect && cd anveinspect && npm install # npm publish pending — then just: npx anveinspect
npx anveinspect doctor # detects platforms, reuses your CLI logins, first scan
npx anveinspect dash # the fleet, live at localhost:4177
npx anveinspect --help # every command, one line each
30 seconds from install to a full inventory — no API keys pasted, no SDK added to your agents, no code changed.
platform CLIs (gcloud/aws/wrangler/az) ─┐
claude/codex/openclaw/hermes local logs ─┼─▶ collector ─▶ SQLite ─┬─▶ CLI
claude hooks ─▶ fleet-emit ─▶ spool ─────┘ ├─▶ MCP (Claude operates it)
├─▶ dashboard (:4177)
cadence engine ─▶ alerts ┴─▶ Slack / macOS (the pager)
One command prints the exact registration for each tool, resolving your install's paths:
anveinspect setup claude # Claude Code: plugin dir or `claude mcp add` one-liner
anveinspect setup codex # Codex: ~/.codex/config.toml block
anveinspect setup cursor # Cursor: .cursor/mcp.json block
doctor reuses the sessions you already have — gcloud auth login, aws configure,
wrangler login, az login — so cloud platforms connect with no API keys to paste.
Anything not signed in prints the exact one-line command to fix it. Example:
✓ Claude Code reads ~/.claude/projects (no signin needed)
✓ Codex reads ~/.codex/sessions (no signin needed)
✓ Google Vertex gcloud authed, project my-proj
→ Cloudflare Workers wrangler present but not logged in
sign in: wrangler login
Then:
anveinspect status # fleet pulse + open alerts + stale agents
anveinspect report # full AI-ready briefing
anveinspect dash # dashboard at http://localhost:4177
Install the plugin (claude --plugin-dir packages/plugin) and any Claude session
becomes your fleet operator. Ask it: "connect my platforms" → /anveinspect:setup;
"how's my fleet?" → a full briefing; "watch my nightly agent, it runs at 3am" →
it declares the cadence and the next silent failure pages you.
fleet_setup, fleet_status, fleet_attention, fleet_agents,
fleet_agent_detail, fleet_scan, fleet_declare_cadence, fleet_check,
fleet_ack, fleet_report, fleet_insights, fleet_lineage, fleet_analytics,
fleet_tag, fleet_connectors_sync, fleet_connectors_status — zod-validated,
structured output, read-only annotations.fleet-ops + slash commands /anveinspect:setup, :status, :scan,
:attention, :watch, :brief.Six views (npm run dash → http://localhost:4177):
anveinspect insights (analytics JSON), anveinspect costs (estimated 30-day spend
by model / agent, busiest hours, failure bursts). Cost estimates come from an editable
~/.anveinspect/pricing.json; token counts are exact, dollars are estimates, and
every result reports priced/unpriced/tokenless coverage.
anveinspect tag add|remove|list <agent> <tag> — organize the fleet with local
tags/groups (cohort, tier, owner, "retire"). Purely local metadata: never touches a
platform or changes agent behavior.
Declare when an agent should run and get paged when it doesn't:
This is the beginning of the README. Read the rest at the original. Read the full README ↗