Built for teams that ship together

The AI Operating System your whole pack can share.

Stop duct-taping solo agents onto a team process. TaskHound gives development teams one shared Container, a live board of every agent, isolated worktrees so people (and agents) work in parallel without stepping on each other, and a compounding knowledge base so the tenth session is smarter than the first.

$19.95/user/mo · Scout Container included · bring your own agents · cancel anytime

Parallel by design

Multiple agents. Different slices. Same project. Same afternoon.

Real teams don't wait for one agent to finish before starting the next story. TaskHound is built so several coding agents can work different parts of a project at the same time - without laptop setup wars or silent merge chaos.

Isolated worktrees per session

Every session - and every sub-agent - gets its own worktree. Frontend can land auth UI while backend hardens the API on another branch. Nobody's local checkout is the battleground.

Board cards that actually run

Assign cards on the team board to AI. As concurrent capacity frees up, sessions start automatically. Queues are visible - never a silent failure when the pack is full.

Orbit: the fleet at a glance

Orbit maps projects and live agents so leads see the whole constellation - not five Slack threads asking "is your agent still running?"

acme / checkout-rewrite 3 live TaskHound Container · Pack tier · 5 slots
Maya Claude Code

feat/checkout-ui

Building payment step component + client validation

edit checkout/PaymentStep.tsx (+86 −12)

Jon Codex

feat/webhook-idempotency

Stripe webhook retry + ledger reconciliation

test ./billing/... · green

Priya Gemini

fix/p95-orders-index

Index on orders.team_id · EXPLAIN ANALYZE

needs input · approve migration?

Same project · three worktrees · one board · zero laptop setup

Shared workspace

One Container. Full team visibility. No private agent silos.

Solo AI dies the moment a teammate needs context. TaskHound puts the whole team in one secure, isolated Container - same projects, same files, same knowledge, every agent session in the open.

  • Live team board - who is running what, on which branch, needing what, one glance. Presence avatars when someone is watching a session.
  • Compounding knowledge - learnings auto-distill from finished sessions into editable markdown. Pin the essentials so every agent starts aligned.
  • Steer & fork mid-flight - jump into any transcript, redirect a run, or fork a session onto a branched worktree with the parent's context intact.
  • Human-gated delivery - agents push to TH Git; promoting to your origin is a push request a person approves. Demos land on *.th.works for the whole team to click.

Tour the board · Knowledge base · Containers

Team board live filter: all projects
#412 Payment step UI Maya · Claude running 18m
#409 Webhook idempotency Jon · Codex running 41m
#401 Orders p95 index Priya · Gemini needs input
#415 Receipt emails unassigned queued
deploy checkout-v2--acme.th.works · healthy · 3 watching
Force multiplier

An AI OS that multiplies the team - not just each person.

Buying five solo subscriptions multiplies five individuals. TaskHound multiplies the team: shared environment, shared memory, shared gates, tools that behave like a real development crew.

No Mac required

Agents run in an isolated Container we provision - full Ubuntu environment, tools, tests, deploys. Your team works from the web, phone, or desktop apps. No special workstation tax.

Tools like a real desk

Planning Yard, Task Board, sessions, TH Git + Pipeline, th.works demos, knowledge, Orbit - the same loop a senior team already uses, with agents as first-class workers on the board.

Bring your agents

Claude Code, Codex, Gemini, Grok - each seat links their own keys in an isolated space. TaskHound never resells or meters LLM usage. Pick the right model per card.

Institutional memory

Transcripts are searchable forever. Knowledge distills gotchas so the next hire's agent doesn't relearn your auth flow from scratch on day one.

The multiplier math

One engineer with an agent is faster. A team with shared agents, shared knowledge, and parallel worktrees is a different company.

Coordination cost is usually what kills multi-agent dreams - duplicated work, lost context, "who owns this branch?" TaskHound collapses that cost: the board shows ownership, knowledge carries forward, and push requests keep origin clean.

Onboarding & coordination

Team concerns, answered before the first invite.

Rolling AI out to a pack is less about models and more about habits, safety, and who can see what. Here's how TaskHound is built for that reality.

"How do we onboard without a week of setup?"

Send an invite. New seats claim access, link their own agent subscriptions in a personal isolated space, and open the projects already living in the team Container. No golden Mac image. No "works on my machine." The environment is the Container - identical for everyone.

"How do we avoid two agents rewriting the same file?"

Sessions work in separate worktrees; the board shows branch + owner; cards make ownership explicit. Integration happens through review and push requests - not by two agents hammering the same checkout.

"Who is accountable when an agent ships something?"

Every action is in a transcript. Privileged moves hit the audit log. Promoting to origin requires a human push request. Roles (Owner, Admin, Member) control who can pause sessions, manage seats, and approve.

"What if agents fill every slot and the team stalls?"

New sessions queue visibly on the board. Add an extra concurrent slot for $4.95/mo, or upgrade the Container tier (Pack 5 · Kennel 12 · Alpha unlimited). Capacity is a dial - not a surprise outage.

"Can leads see progress without micromanaging?"

Yes - presence, not surveillance. The board and Orbit show status the way CI shows builds. Push notifications reach web, iOS, Android, and desktop when something finishes, fails, or needs input.

"Is our code isolated from other customers?"

Each team gets dedicated Container infrastructure - not multi-tenant runtimes. Snapshots protect you before sessions; roll a project or whole Container back in one click. Secrets are encrypted, masked, and scrubbed from transcripts.

How long until a new hire is productive on the AI OS?

Most teams are productive the same day: invite, link keys, open a project, start a session. Depth comes from pinned knowledge and a few team conventions (who approves push requests, which agent owns which layer). You don't rebuild a laptop fleet - you inherit the Container.

Can different people use different agent providers on the same project?

Yes. Linking providers is free and unlimited. Maya can run Claude Code on UI while Jon runs Codex on backend in the same project - both write into shared knowledge and show up on the same board.

How do we keep origin repos clean with parallel agents?

Agents work against TH Git with human-approved push requests to your upstream. Nothing reaches origin without a person deciding. Pipeline demos on th.works let the team review running software before promote.

Team stories

How development teams use the AI OS day to day.

Composite scenarios based on real TaskHound workflows - board, worktrees, knowledge, and gated delivery - not anonymous five-star fluff.

Product squad · 6 engineers

Checkout rewrite in parallel lanes

Three live sessions on one project: UI, webhooks, and a p95 index - each on its own worktree. Leads watched the board; one permission prompt for a migration was approved from mobile. Demo URL on th.works went to design review the same afternoon.

"We stopped asking 'is your Claude still running?' The board already knew."

— Staff engineer, product platform

Platform team · 4 engineers

Knowledge that survives the sprint

Auth-flow gotchas distilled after a painful session were pinned. The next two agents loaded them automatically - different vendors, same conventions. New hire's first session didn't rediscover the refresh-token trap.

"The tenth session really does start smarter. That's the first AI tool that felt like a team asset."

— Engineering manager, internal tools

Agency pod · 5 engineers

Client demos without laptop theater

Pipeline deploys posted live *.th.works links on the board. Account leads shared URLs; engineers kept shipping in the Container. Push requests kept client origin repos human-gated.

"Clients click a URL. We keep the agents in the kennel. That's the whole pitch."

— Delivery lead, digital agency

Team pricing

Seats for people. Tiers for concurrent agents. Nothing for LLM usage.

One Stripe subscription per team. You pay for humans and how many agents run at once - never for tokens. Cancel anytime.

Per seat

$19.95/user/mo

  • ✓ Live team board, Orbit, sessions, steering & forking
  • ✓ Shared projects & compounding knowledge
  • ✓ TH Git + Pipeline · demos on th.works
  • ✓ Web, iOS, Android, macOS, Windows, Linux apps
  • ✓ Scout Container included (2 concurrent agents)
  • ✓ Bring your own Claude / Codex / Gemini / Grok
Start your team trial

Proration on seat changes · cancel anytime

Container tiers for development teams
Tier Best for teams Concurrent agents Price
Scout Pairing & small pods 2 included
Pack popular Typical product squad 5 +$29/mo
Kennel Multi-stream feature teams 12 +$79/mo
Alpha Org-wide agent capacity Unlimited +$199/mo

Extra concurrent slot: +$4.95/mo without a tier jump.

Example: 6 seats + Pack ≈ $119.70 + $29 = $148.70/mo (+ your agent providers).

Full breakdown, FAQs, and billing details on the pricing page.

Put the whole pack on one AI OS.

Parallel agents, shared workspace, live visibility, and human gates - so your development team ships like a team, not a pile of private terminals.

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