awsmux
Run one AWS CLI command across your whole fleet in parallel:
hundreds of accounts in seconds, safely.


One command fanned out across every account and region at once (100
parallel workers by default, --concurrency raises it), identities
verified before anything runs, results
merged into one stream. No more shell loops that take a coffee break to
crawl the fleet. And anything that mutates is stopped by an approval
boundary that even an AI agent with your admin credentials cannot talk
its way past. The demo above is a real terminal against the bundled
100-account sandbox fleet; replay it yourself with make fleet-up.
And it is measurably cheaper and faster for agents. In a 150-session,
three-arm benchmark (identical Claude Opus 4.8 agents, identical
prompts, same 100-account fleet), the awsmux arm beat a raw-shell aws
CLI arm in every cell: 1.3x to 2.9x cheaper, 2.3x to 5.4x faster, a
flat 4 turns at every fleet size, and up to 7.4x fewer output tokens
(cost and token differences all Holm-adjusted p < 0.05).
| task |
fleet |
cost per run (cli vs awsmux) |
wall time |
| enumerate all VPCs |
10 accounts |
$0.090 vs $0.068 (1.3x) |
34s vs 13s |
| enumerate all VPCs |
50 accounts |
$0.239 vs $0.120 (2.0x) |
84s vs 23s |
| enumerate all VPCs |
100 accounts |
$0.274 vs $0.193 (1.4x) |
94s vs 41s |
| find the world-open group |
50 accounts |
$0.229 vs $0.079 (2.9x) |
75s vs 14s |
| find the world-open group |
100 accounts |
$0.152 vs $0.098 (1.5x) |
90s vs 17s |
Full design, statistics, and caveats:
docs/BENCHMARK.md.
Try it on 100 accounts (none of them real)
Prerequisites: Docker and the aws CLI.
make fleet-up && source .tmp/fleet/env.sh
One make target boots a pinned LocalStack container and provisions a
fictional 100-account fleet (10 teams, prod and stage, 5 shards, 3
regions) to break for fun. The real aws CLI talks to a real emulated
AWS on localhost, every profile is its own account (plus one planted
admin-legacy duplicate for --dedupe to catch), and what you change
actually persists. Zero credentials, zero real AWS, zero risk.
./bin/awsmux targets --profiles 'payments-*' # verified identities, per account
./bin/awsmux run --dedupe --format jsonl -- ec2 describe-vpcs --query 'Vpcs[].VpcId'
# all 100 accounts in a few seconds
./bin/awsmux run --profiles '*-prod-*' -- ec2 describe-security-groups \
--filters Name=ip-permission.cidr,Values=0.0.0.0/0 # find the world-open group
./bin/awsmux plan --profiles payments-prod-1 -- ec2 revoke-security-group-ingress \
--group-name legacy-bastion --protocol tcp --port 22 --cidr 0.0.0.0/0
That last one is destructive, so it will not just run: you get an
immutable plan to approve first. Apply it with the token and re-run the
hunt; the finding disappears for real, because the sandbox is a real
(emulated) AWS. Try editing the plan file between approve and apply and
watch the hash check refuse it.
make e2e smoke-tests the same beats end to end (discovery and STS
verification of all 101 profiles, dedupe, the fleet-wide sweep, the
world-open hunt, the approval gate, and a full plan / approve / apply
roundtrip); make fleet-down removes the container.
Real fleet
Same commands, pointed at your own AWS setup instead of the sandbox
environment. Zero configuration of its own: awsmux discovers profiles
from your existing shared config file (~/.aws/config) and shared
credentials file (~/.aws/credentials), honoring AWS_CONFIG_FILE and
AWS_SHARED_CREDENTIALS_FILE. SSO, static keys, and
credential_process profiles all work unchanged, because awsmux always
executes through the aws CLI and verifies every identity with STS
before running anything:
awsmux doctor # first run? verify aws CLI, files, profiles
awsmux targets --regions us-east-1,us-west-2
awsmux run --profiles 'prod-*' --exclude '*-sandbox' --format jsonl \
-- ec2 describe-instances --query 'Reservations[].Instances[].InstanceId'
awsmux plan -- ssm put-parameter --name /app/flag --value on --type String
awsmux approve plan-01k... # prints a one-time token, never stored
awsmux apply plan-01k... --approval-token <token>
Not seeing your profiles? awsmux doctor shows exactly which files
were checked, how many profiles each contributed, and whether the aws
CLI and state directory are usable. awsmux targets reports where each
profile came from (a SOURCE column in table mode, a source field in
jsonl: config, credentials, or both).
Useful flags: --concurrency (default 100: fleet-wide fan-out is the
point; each in-flight target is one aws CLI subprocess), --timeout 30s, --max-errors N,
--stop-on-access-denied, --dedupe (collapse targets that resolve to
the same account, principal, and region), --output-dir (one result
file per target),
--interactive (checkbox target picker). Every run lands in
awsmux history and can be re-run with awsmux replay.
Give it to your AI agent
Two commands, zero configuration:
go install github.com/0hardik1/awsmux@latest
claude mcp add --scope user awsmux -- awsmux mcp
There is nothing to configure. awsmux mcp serves the agent interface
over stdio via the Model Context Protocol: no port, no daemon, no
config file, no credentials of its own. It discovers the same profiles
your terminal already has (shared config and credentials files; SSO,
static keys, and credential_process all pass straight through) and
verifies every identity with STS before anything runs. It even locates
the aws CLI in well-known install locations when an MCP client spawns
it with a bare GUI PATH. Check the connection with /mcp inside
Claude Code, then ask the agent "which AWS accounts can you see?"
(Drop --scope user to register for the current project only. No Go
toolchain? git clone + make build gives you ./bin/awsmux.)
Claude Desktop: Settings > Developer > Edit Config, then add to
claude_desktop_config.json (GUI apps do not read your shell PATH,
so use the absolute path from which awsmux):
{
"mcpServers": {
"awsmux": { "command": "/absolute/path/to/awsmux", "args": ["mcp"] }
}
}
Other MCP clients (Cursor, Windsurf, Zed, ...): same shape
everywhere, a stdio server with command awsmux and args ["mcp"].
The agent gets five structured tools (list_aws_targets,
plan_aws_operation, execute_aws_plan, get_aws_execution,
cancel_aws_execution) instead of a raw shell, and it uses them on
its own: once registered there is nothing to invoke, you just ask
("find every security group open to the world in prod") and the model
reaches for the tools automatically. Read-only operations execute
freely. Anything else comes back as a plan: the agent hands you a plan
ID, you run awsmux approve <plan-id> in your own terminal, and you
paste the one-time token back into the chat for the agent to apply.
The token binds to the plan's sha256 hash, so the agent cannot alter
an approved plan or execute it twice.
Want to watch an agent hit the boundary with zero blast radius?
Register the sandbox fleet instead: after make fleet-up, point the
server at the fleet's config via environment variables (values printed
in .tmp/fleet/env.sh):
claude mcp add awsmux-fleet \
--env AWS_CONFIG_FILE=$PWD/.tmp/fleet/aws-config \
--env AWS_SHARED_CREDENTIALS_FILE=$PWD/.tmp/fleet/aws-credentials \
--env AWSMUX_HOME=$PWD/.tmp/fleet/home \
-- $PWD/bin/awsmux mcp
The agent gets the 100-account LocalStack fleet over MCP; let it break
anything it likes.
The cost and speed numbers in the table at the top come from exactly
this setup. One more result from the same benchmark: when an agent was
handed both a shell and the MCP tools, it picked awsmux on its own and
kept nearly all of the margin.
Safety model
| Class |
Examples |
Policy |
read_only |
describe-, list-, get-*, s3 ls |
runs freely |
mutating |
create-, put-, update-*, s3 cp |
--yes, interactive confirm, or approved plan |
destructive |
delete-, terminate-, revoke-*, s3 rm |
never --yes; typed confirm or plan/approve/apply |
unknown |
anything unrecognized |
treated as mutating |
Where the verb convention lies, awsmux overrides it: sts calls that mint
credentials (assume-role*, assume-root, get-session-token,
get-federation-token) and
s3api operations that write a local outfile (get-object,
get-object-torrent, select-object-content) are classified mutating
despite their read-style names.
Stable exit codes for CI and agents: 0 all succeeded, 1 some failed,
2 selection/config error, 3 approval required or rejected, 4 stopped by
threshold.
The 03:00 story
A scanner pages: SSH is open to the world somewhere in the fleet. Your
agent sweeps 14 verified accounts in one read-only call, finds
sg-0a1b2c3d in payments-prod, and proposes the revoke. The revoke is
destructive, so the engine hands back a plan instead of running it. You
read the plan on your phone: exact command, exact account, verified
principal, hash. You approve, paste one token, and go back to sleep
while the fix lands in history with the hash attached.
You can replay this exact story against a fleet of fakes right now:
make fleet-up.
How it compares
|
awsmux |
awsrun |
aws-vault / granted / awsume |
| Fleet execution across accounts |
yes |
yes |
no (credential tools) |
| STS identity preflight per target |
yes |
no |
n/a |
| Risk classification + approval boundary |
yes |
prompt only |
n/a |
| Agent interface (MCP) |
yes |
no |
no |
100-account LocalStack test fleet (make fleet-up) |
yes |
no |
no |
| History + replay |
yes |
no |
no |
| Runtime |
single Go binary |
Python + plugins |
Go / varies |
The credential tools are complementary: awsmux happily executes through
profiles they manage.
Docs
- Architecture: the engine, the plan boundary,
the executor, test-fleet internals.
- Benchmark: the agent-cost A/B methodology and
results behind the table above.
Development
make setup # git hooks + pre-warm the pinned linter
make build test lint # or: go build ./... && go vet ./... && go test ./...
make fleet-up e2e # LocalStack fleet + end-to-end smoke test
make fleet-down clean
CI runs go test and make build on ubuntu and macos, gofmt + go vet,
golangci-lint repo-wide, the LocalStack e2e smoke test on ubuntu, and a
Conventional Commits check on PR titles (the commit-msg hook enforces
the same convention locally).
The demo GIF at the top is a real Ghostty session against the
LocalStack fleet, recorded with Kap.
Dependencies: stdlib plus cobra. Roadmap: organization-aware discovery
(--ou plus role assumption), policy packs, Homebrew tap and release
binaries.
Licensed under Apache-2.0.