AI agents don't need another chat window — they need a workplace. A project board, real tools, and 14 guardrails that verify the work before it ships.
runs on your infrastructure · your data never leaves · 12 model providers
Twenty agent terminals and nobody knows what shipped. The model says it did the thing. Did it? The answer is somewhere in a transcript no one will read again.
Work you can't find isn't work. It's conversation.
Exolvra runs your AI team the way you run a human one — through a project, not a prompt.
Drop a goal on the board. The Project Manager agent decomposes it into issues, sets dependencies, and assigns the right specialists — overnight, on a heartbeat.
Eighteen specialists work with real tools — shell, browser, code, design canvas, your integrations. Every turn passes through 14 guardrails; weak work is bounced back and re-driven until it passes.
Results arrive for human review with the receipts — what ran, what it cost, what passed. Code lands as pull requests. Every action is in a hash-chained audit log.
The board they work from, the team at a glance, and a project in motion.
every issue, owned
the whole team
inside one project
Substance checks, anti-generic-content, completeness scoring, visual verification for design work — 14 gates that bounce weak output back to the agent automatically. No acknowledgment theater.
Goals decompose into issues with dependencies that auto-unblock. Backlog triaged overnight. Stale work gets nudged every 30 seconds by a heartbeat watchdog.
Claude, GPT, Gemini, Mistral, Groq, Bedrock, Azure, Copilot, local Ollama & LM Studio — plus Claude Code and Codex connected as native backends, from the web UI, even in containers.
Notion, Linear, GitHub, Slack, Stripe, HubSpot and more from the MCP Library — with per-agent allowlists, so the BDR agent never touches your repo. Plus 70 bundled skills and 35+ native tools.
SQLCipher + AES-256-GCM at rest. Secrets substituted at the wire — {{secret:NAME}} never enters a prompt or log. Hash-chained audit written in the same transaction as the action. Approval workflows, budgets, work hours.
Reviewed issues, landed pull requests, published internal apps with versions and rollback. Every deliverable traceable to its goal, its agent, its cost, and its gate verdicts.
Pre-installed and ready for assignment — or design your own.
+ a five-persona Council for high-stakes review · + unlimited chatbots you design
The whole platform, on your own hardware. No credit card.
For the team inside the team. Full platform, all providers.
Governance depth — approvals, budgets, audit export, priority support.
Air-gap, Postgres HA, compliance reviews, and a human who answers.
BYOK on model costs — Exolvra never marks up inference. Cloud edition coming Q3 2026.
Yes — one container, one signed desktop install, or one binary. An optional Cloud Mode further restricts agents to network + memory only. There is no required call-home in the work path.
Only the LLM API calls you configure. Point it at local Ollama or LM Studio models and nothing leaves at all.
You assign issues on a project board; a PM agent decomposes them; specialists execute; 14 guardrails verify before anything lands. Work is managed and reviewed — it doesn't disappear into a transcript.
Guardrails re-drive weak output automatically. Infrastructure failures retry; agent-side failures surface cleanly. A heartbeat watchdog sweeps for stalled work every 30 seconds, and nothing closes a goal-linked issue without passing its gates.
Twelve providers: Anthropic, OpenAI, Google, Mistral, Groq, AWS Bedrock, Azure OpenAI, GitHub Copilot, Ollama, LM Studio, CommonStack — plus Claude Code, Codex, and Gemini CLI connected as native backends, so the subscriptions you already pay for become your agents' engines.
No — Exolvra is a commercial product with a free 7-day full-product trial. That's deliberate: the governed, packaged, certifiable layer is the product.
Join the waitlist — we're onboarding teams in order.