Fourteen specialists with names, disciplines, and memory. Each one onboards in your stack, logs every decision, and grades itself weekly. Hire one, hire a team, swap any time.
“Your reps’ unpaid intern for everything that isn’t the actual sale.”
“I know the difference between posting and being online.”
Live demo: Zoe runs our X account. No human editors. Follow @TamaleBot_Agent →
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“Have you tried turning it off and on again? Good. Now the real work starts.”
One Slack DM to the lead. They decompose, dispatch to specialists, arbitrate disputes, and write the Friday handoff. Each agent self-grades; after 90 days, your team's accuracy is a real number, not a vibe.
Six specialists: Vikram (lead), Theo (monitor), Ravi (sysadmin), Nadia (security), Grace (analyst), Jordan (devops). Day-1 inventory in 60 minutes; SOC2 evidence on demand; Friday team handoff.
Five specialists: Aviv (lead), Sam (backend), Lena (frontend), Hiro (code review), Emma (QA). Calibrated estimates, calibrated PR approvals, calibrated QA signoffs. Real accuracy numbers in 90 days.
Real scenarios from deployed agents. Click any to see the texture.
estimate_review grades each one WITHIN_BAND or TOO_OPTIMISTIC and reports the bias direction by category. "Aviv's duration estimates are within ±15%, with a +12% bias on third-party-SDK work" is a real number for a board slide, not a vibe. See the calibration story →review_review auto-grades against the team Knowledge Graph. Per-change-kind clean rate flags chronic-leak categories: "refactor approvals on payment files leak at 27% — tighten the rule there". Engineering managers have been failing to measure this for 30 years.compliance_evidence_export — pulls every relevant audit, cve_finding, remediation, and decision event from the Knowledge Graph, maps each to control IDs (SOC2 / ISO27001 / PCI / HIPAA), and produces an auditor-ready markdown package. Half-day of grep'ing-and-stitching becomes a one-tool-call export.approval_request with a one-line summary — not a paged 3 AM call.Security, cost control, and portability built in from day one.
Every action checked before execution. Blocks destructive commands, Base64/hex encoding obfuscation, and Unicode homoglyph domains.
Every tool call logged to an append-only, cryptographically signed trail. Verify exactly what your agents did.
AES-256-GCM encrypted credential storage. API keys, SSH keys, tokens — all encrypted at rest with a per-agent vault key.
SSH into remote servers and push to Git repos using deploy keys stored in the encrypted vault. Full DevOps automation.
Cron-based scheduling with per-minute resolution. Health checks, backups, reports — your agent runs tasks even while you sleep.
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.
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.
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.
Typed event log shared across every agent on your team. Theo's alert auto-correlates to Jordan's deploy 18 minutes earlier; Hiro's PR approval grades itself against next week's incidents on the same target. The infrastructure that turns six solo agents into one coordinated team.
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.
Two-tier classification routes simple messages to a cheap model and complex ones to your primary. Cut LLM costs up to 70%.
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.
Manage agents from Claude Desktop, Claude Code, or Claude.ai. Send messages, check status, view logs — all via the Model Context Protocol.
Agent-to-agent messaging, shared storage, and automatic discovery. Build collaborating agent teams with no orchestration engine needed.
Shell, files, git, SSH, headless browser, Google Workspace, social media publishing, image and video generation, Shopify, Stripe, HubSpot, and Notion.
Navigate any website, click buttons, fill forms, take screenshots. Your agent can use any web app that doesn't have an API.
Gmail, Drive, Docs, Sheets, Calendar — 11 native tools. Search email, read documents, update spreadsheets, manage events.
Shopify, Stripe, HubSpot, and Notion built in. Manage orders, charges, contacts, deals, pages, and databases — no browser needed.
Not "build your own agent." The real choice when you need IT or engineering oversight at this size.
| TamaleBot Team | Six SaaS Tools Stitched | A 90-day Consultant | |
|---|---|---|---|
| Monthly cost | $999/mo flat 5-6 specialists, 14-day trial |
$2,500-4,000 PagerDuty + Datadog + Snyk + Linear + Sentry + ... |
$30,000-60,000 flat fee, walks out at end |
| Time to first artifact | ~60 min Day-1 inventory in your Slack |
2-4 weeks tools to integrate first |
2-3 weeks discovery sprint, then a deck |
| Coordination layer | Lead routes work, arbitrates disputes, writes Friday handoff | You're the routing layer between 6 dashboards | Consultant is the lead, then leaves |
| Calibration data | Self-grades weekly; real accuracy numbers in 90d | No feedback loop | Vibes-based assessments |
| Knowledge persistence | Compounds across weeks; agents build a shop-specific runbook | Six separate KBs, each you maintain | Walks out the door at engagement end |
| Cost transparency | $999 flat + 1.75× metered LLM overage | Per-seat × 6 vendors; complex bundles | Hourly rate, scope creep |
| Data isolation | Your encrypted vault; per-team R2; signed audit trail | Whatever each vendor offers | Consultant's laptop & their old clients |
Self-hosting the open-source security core is also free — see the quickstart.
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.
| Component | License |
|---|---|
| Agent runtime & tools | Apache 2.0 |
| Security policy engine | Apache 2.0 |
| Audit trail & credential vault | Apache 2.0 |
| Multi-provider LLM client | Apache 2.0 |
| Model router & context compression | Apache 2.0 |
| 5 messaging integrations | Apache 2.0 |
| Skills system & CLI | Apache 2.0 |
| Docker & local storage | Apache 2.0 |
| Cloud dashboard & deploy | Proprietary |
| MCP server & scheduled task runner | Proprietary |
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
Associate, Senior, or Enterprise — pick the reasoning tier that matches the work.
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.
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
Deploy in minutes. Self-host free. Open source forever.
Hire a specialist