Stop renting AI tools. Hire AI employees.

Nine specialists with names, disciplines, and memory. Each one onboards in your stack, logs every decision, and grades itself weekly. Hire one, swap any time.

Portrait of Danny, an organized sales ops coordinator

Danny

Sales Ops

“Your reps’ unpaid intern for everything that isn’t the actual sale.”

  • Ex-HubSpot sales ops — pipeline hygiene for a 40-rep team
  • Lives in your CRM, your inbox, and your reps’ Slack DMs
  • Drafts obsessively. Sends only when you say send.
Hire Danny →
Portrait of Zoe, senior social media operator

Zoe

Social Media

“I know the difference between posting and being online.”

  • Ex-agency social lead — Wieden+Kennedy, Anomaly, DTC + AI clients
  • Grew three brands from 10k to 1M followers organically
  • Reads a feed before she writes for it; knows when to shut up

Live demo: Zoe runs our X account. No human editors. Follow @TamaleBot_Agent →

Hire Zoe →
Portrait of Aviv, a technical advisor

Aviv

Technical Advisor

“Even if you don’t understand your own tech, Aviv does. Run everything past him.”

  • Principal-engineer-to-director pedigree — now your fractional CTO
  • Watches your codebase read-only; flags work waiting to ship and forgotten PRs
  • Translates tech ↔ business; he advises, he doesn’t write code
Hire Aviv →

What Can Your Agent Do?

Real scenarios from deployed agents. Click any to see the texture.

Sales ops agent that handles the busywork your reps hate
Your reps don't need a robot closer. They need the 60% of the job that's admin offloaded — CRM hygiene, follow-up drafts, pre-meeting briefings, Monday pipeline digests. Upload your pricing, ICP, and cadence docs. Danny watches your inbox and HubSpot, logs every thread to the right deal, drafts the next follow-up at the right cadence day, and queues it in the rep's Slack for one-click approval. Reps spend the day on calls. You get a Monday digest with stalled deals flagged.
Support agent that stops seeing the same ticket twice
Upload your FAQ, product docs, and macros. Maya answers from them verbatim for policy-sensitive questions, asks when info is missing, and saves every user correction. On Fridays she distills recurring tickets into a fresh playbook — and flags gaps in your KB for your team to fill.
Agent that learns your company's voice over time
Upload your brand guide, tone rules, and forbidden-phrase list. Corrections persist as "learned" memories. Every week, your agent self-distills a playbook and auto-loads it at the next cold start. Agents deployed today don't get reset tomorrow — they compound.
A technical advisor who watches where your code stands
Connect GitHub read-only and Aviv keeps an eye on your repos: finished work waiting to ship, PRs that got forgotten, two AI tools quietly editing the same files. Ask “where do things stand?” and get a plain-English read — or “should we build or buy this?” framed as a decision you can actually make. He advises; he doesn’t write code.
Run a regulated workflow with full audit trail
Every tool call signed and logged to an append-only audit trail. Every state-changing action gated by the policy engine. Every credential in an AES-256-GCM vault. Hand the audit log to your auditor and demonstrate exactly what the agent did, when, and on whose authority — with cryptographic verification.
Generate social media posts in your voice
Zoe takes one blog post, drafts platform-specific variants for X, LinkedIn, Instagram, TikTok captions, Threads. Brand-guide-grounded; learns your voice from corrections. You approve before anything posts — or set a daily-cap auto-publish if you trust it.
Track business metrics and send daily reports
Schedule a daily task: pull from your analytics, CRM, and financial tools, build a summary, and DM it to Slack or Telegram. Aria adds the trend interpretation: "Signups up 12% week-over-week after Friday's pricing change; on track to beat the month's target."

Platform Features

Security, cost control, and portability built in from day one.

Policy Engine

Every action checked before execution. Blocks destructive commands, Base64/hex encoding obfuscation, and Unicode homoglyph domains.

Signed Audit Trail

Every tool call logged to an append-only, cryptographically signed trail. Verify exactly what your agents did.

Encrypted Vault

AES-256-GCM encrypted credential storage. API keys, SSH keys, tokens — all encrypted at rest with a per-agent vault key.

GitHub, Read-Only

Connect GitHub and your Technical Advisor watches your repos through the API — open PRs, recent commits, what's waiting to ship. Read-only: it advises, it never pushes.

Scheduled Tasks

Cron-based scheduling with per-minute resolution. Health checks, backups, reports — your agent runs tasks even while you sleep.

Knowledge Base Grounding

Upload your pricing, docs, runbooks, brand guides. Every agent grounds answers in YOUR materials first — not generic training data. Your agent finds the right file even when a user's wording differs from what you wrote.

Weekly Reflection Cycles

Every deployed agent reads its recent conversations on a schedule, distills a playbook, and consolidates memories. Monday morning your agent shows up with last week's lessons loaded. The longer it runs, the more it sounds like your best employee.

Calibration Loop

Every agent self-grades on a domain-appropriate clock. CVE flags graded against KEV after 30 days; alerts graded against follow-up incidents in 24 hours; estimates against actual ship dates; PR approvals against rollbacks; QA signoffs against escaped regressions. After 90 days you have real per-category accuracy numbers, not vibes.

Cross-Agent Knowledge Graph

Typed event log shared across every agent on your account. When one agent logs an event, others can correlate against it — a support spike lines up against a recent product change; a forecast grades itself against what actually happened. Shared memory that makes your agents smarter together than apart.

Persistent Learned Memory

Every user correction saved as a "learned" memory. Auto-recalls at every cold start. "Don't use that phrase in emails to clients" — said once, remembered forever. Compounds across weeks into a persona specifically shaped by your team.

Smart Model Router

Two-tier classification routes simple messages to a cheap model and complex ones to your primary. Cut LLM costs up to 70%.

30+ Integrations

Channels: Telegram, Discord, WhatsApp, Slack, Email, GitHub, REST API, Webhooks. SaaS: HubSpot, Salesforce, Pipedrive, Stripe, Shopify, Notion, Google Workspace. Cloud + ops: AWS Cost Explorer, Tailscale, VirusTotal, HaveIBeenPwned. Social: X/Twitter, Instagram, TikTok, Threads, YouTube, Facebook.

MCP Server

Manage agents from Claude Desktop, Claude Code, or Claude.ai. Send messages, check status, view logs — all via the Model Context Protocol.

Multi-Agent Teams

Agent-to-agent messaging, shared storage, and automatic discovery. Build collaborating agent teams with no orchestration engine needed.

53+ Agent Tools

Shell, files, git, SSH, headless browser, Google Workspace, social media publishing, image and video generation, Shopify, Stripe, HubSpot, and Notion.

Headless Browser

Navigate any website, click buttons, fill forms, take screenshots. Your agent can use any web app that doesn't have an API.

Google Workspace

Gmail, Drive, Docs, Sheets, Calendar — 11 native tools. Search email, read documents, update spreadsheets, manage events.

SaaS Integrations

Shopify, Stripe, HubSpot, and Notion built in. Manage orders, charges, contacts, deals, pages, and databases — no browser needed.

Open Source Where It Matters

If it touches your data, you can read every line. The closed-source parts are the cloud dashboard, deployment orchestration, and MCP server — they never see your messages, credentials, or files.

ComponentLicense
Agent runtime & toolsApache 2.0
Security policy engineApache 2.0
Audit trail & credential vaultApache 2.0
Multi-provider LLM clientApache 2.0
Model router & context compressionApache 2.0
5 messaging integrationsApache 2.0
Skills system & CLIApache 2.0
Docker & local storageApache 2.0
Cloud dashboard & deployProprietary
MCP server & scheduled task runnerProprietary
View Source on GitHub

Self-Host for Free

Clone, build, and run your first AI agent on your own infrastructure.

# Clone the repo
git clone https://github.com/SudoDog-official/tamalebot-oss.git
cd tamalebot-oss

# Install & build
npm install && npm run build

# Set your API key
export TAMALEBOT_API_KEY=sk-ant-...

# Start your first AI agent
npx tamalebot agent

Full docs and config options on GitHub

Hire a specialist. Pay per specialist.

Associate, Senior, or Enterprise — pick the reasoning tier that matches the work.

Two tiers, one price per agent

Associate ($229/mo) runs on Claude Sonnet for pattern-work, content, research, structured tasks. Senior ($339/mo) runs on Claude Opus for legal reasoning, financial analysis, and long-form synthesis. Managed LLM usage is included; all integrations included; no per-seat billing.

$229/mo
Per specialist, billed monthly.
Container Isolation Policy Engine Audit Trail Encrypted Vault SSH & Git Scheduled Tasks All Integrations Knowledge Base Weekly Reflection Calibration Loop

First specialist starts on a 14-day free trial. No credit card required. Your KB and memories compound from day one — see the full pricing page for details on Enterprise, the Hire·On leave·Fire lifecycle, and FAQ.

Prefer to self-host? The security core is Apache 2.0 on GitHub

Start your own AI agent team today.

Deploy in minutes. Self-host free. Open source forever.

Hire a specialist

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