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AaaS·TripleA · agent reliability infrastructurewithlove

Deterministic superpower
for any AI agent.

Wrap Claude, GPT, open-weight, or your custom agent in a pipeline that can't drift, skip steps, or lie about what it did.

supervisorRL retry · goal-check
01plan
02execute
03gate
04audit
05replay
HMAC chain · live
sha256:b2de07914f0eplan
chain · verified · replayable
MIT core·SOC-2-ready license·Self-host or cloud·Works with any LLM
same engine · pick your tradeoff

One pipeline. Two runners.

mode 01 · interactive

Interactive.

Your existing AI chat is the worker. Stays in one terminal.

  • Zero extra tokens. The chat you're already paying for runs the steps.
  • Low-budget. Fast iteration. Ideal for solo builders.
  • The pipeline lives in your editor — no daemons, no servers.
pip install aaa && aaa run plan.yaml --mode interactive
mode 02 · programmatic

Programmatic.

Headless subprocess workers via SDK. Full isolation per task.

  • Separate processes. Crash one, the pipeline keeps going.
  • Production-grade. Parallelizable. Billable per task.
  • Drop into any backend — Python, Node, Go. Same plan.yaml.
aaa run plan.yaml --mode programmatic --workers 8
the reliability gap

What changes when an agent
runs through AaaS·TripleA.

▸ without aaas·tripleauntrusted
ai"done."skipped testsforgot todo
▸ with aaas·tripleaverified
plnexcgteaudrep
01AI says "done" — you check the diff.Per-node supervisor decision + structured TODOs on decline.
02AI forgot the tests.Pipeline blocks completion until the test node passes.
03"What did the agent do at 3am?" — guess.HMAC-chained timeline. Replayable plan.
04Every session re-invents the wheel.YAML plans = version-controlled workflow library.
05Locked to one model.Swap Claude / GPT / local — same pipeline, same gates.
06n8n / Make / Zapier bill per run, no AI discipline.Self-host the engine. AI-native gates built in.
the protocol

Setup once. Run forever.

01

Out-of-scope setup.

You declare your orchestration surface once — tools, MCPs, per-node LLM choice, agent assignments. This lives outside the run; the run never re-decides it.

$ aaa init && vim agents.yaml
02

Deterministic execution.

/autonomous walks the DAG node by node. Hard gates block. Soft gates warn. Reinforcement loop retries with structured feedback until the goal-check node passes — or the node escalates.

$ aaa run plan.yaml --verbose
03

Audit & replay.

Every node emits a signed event. The full run is an HMAC-chained timeline you can replay byte-identical, diff against a prior run, or hand to compliance.

$ aaa replay run_a91c.log --diff prev
features

Six modules. One pipeline.

▸ 01

Deterministic execution

DAG + reinforcement loop + goal-check. No free-form drift between steps.

▸ 02

Visual editor

n8n-style canvas for nodes, gates, and supervisors. Exports clean YAML.

▸ 03

Plan generator

Describe the outcome. TripleA scaffolds the full pipeline with sensible defaults.

▸ 04

Hard & soft gates

Block on test failure. Warn on lint. Escalate on supervisor decline.

▸ 05

Model-agnostic

Claude · GPT · Gemini · Llama · your local 7B. Per-node model selection.

▸ 06

Replayable audit

HMAC-chained event log. Reproduce any run byte-identical. Hand to compliance.

positioning
n8n, Make, and Zapier are workflow tools that bolted AI on top.Cursor and Copilot are agents without a discipline layer.AaaS·TripleA is the discipline layer — AI-native gates, supervisor decisions, signed audit — built for the assumption that the worker is an LLM and will lie about being done.
pricing

Three tiers. No "contact us" for the basics.

Personal
Freeforever

Self-host. MIT core. Unlimited interactive runs.

  • Interactive mode
  • Plan YAML library
  • Visual editor
  • Community Discord
Install
Commercial
Licensetalk to us

SOC-2-ready. Audit export. On-prem deployment.

  • Everything in Team
  • SOC-2-ready license
  • Audit-log export · BYO KMS
  • On-prem / VPC deployment
  • Custom SLAs
Talk to us
aaas.love · ship itwithlove

Stop trusting "done".
Start verifying it.

pip install aaa · git clone github.com/aaas/aaa