The Company Brain for AI-native business operations.
Define processes in plain language. AI agents execute, collaborate, and self-govern through a structured protocol with shared corporate context, permission isolation, and reversible PII redaction at the LLM boundary. Self-hosted, AGPL-3.0.
Companies adopt AI tools, but each one solves a narrow task. The result: a patchwork with no shared context, no governance, no visibility.
WorkAist is a different approach. AI agents are the business operations layer — they share corporate data, communicate through a protocol, respect permissions, and form a visible process graph.
For service providers — accountants, agencies, and outsourcers — WorkAist ships as a turnkey package: a single deployment per client with the full Company Brain inside, ready to extend with your domain expertise.
Describe what you want to automate in plain language. The AI Wizard asks clarifying questions, checks for duplicates against existing entities, and proposes a plan. Confirm and the agent, connector, or process is created for you.



Each agent is a folder with a CLAUDE.md file. Open it in the browser-based VS Code with Claude Code. Edit, test, iterate.

Agents run on schedules, webhooks, manual buttons, or event chains. The Process Map shows the full graph live, with tokens and dollars per run and explicit owners for each entity.

WorkAist auto-discovers relationships between every table across all connectors and lets you fix the gaps it misses by hand. Agents stop seeing isolated tables and start seeing your whole business as one Knowledge Graph.

A structured protocol for AI entity interaction. Security, governance, and full visibility, with a strict privacy boundary between your data and the LLM.
Bridge to an external service. One connector = one service, exposed as its own MCP server. Data syncs to PostgreSQL.
AI worker for a business domain. Defined in plain language. Communicates through agents-hub.
Automated workflow with a trigger (cron, webhook, button, event chain). Visible on Process Map.
Beyond automation
Master Agent sees every process, cost, and outcome across your company. It finds bottlenecks, predicts trends, and surfaces insights humans miss.
Your peak last year was March 8. This year holidays shifted — expect it March 22. Start prep a week earlier.
Cross-references historical sales data with calendar events and external signals.
32% of your clients bring referrals organically. A referral program could push this to 60% — that's +$8K/mo.
Analyzes customer acquisition patterns and models impact of incentive programs.
Invoice approval averages 3.2 days — the manual sign-off step accounts for 80% of the wait. Remove it, process runs in 4 hours.
Analyzes Process Map execution times to find the slowest step in every workflow.
Interactive DAG of all agents, connectors, data flows, costs, success rates, and explicit owners. Process chaining lets one process trigger the next on success or failure.
Per-entity timeline of snapshots, decisions, and delegation handoffs. See exactly when work moved from one agent to another and what changed.
Describe what to automate — the platform builds it, asks clarifying questions, and avoids duplicates.
Per-user code-server with Claude Code CLI for the whole team in one IDE.
One service = one connector, exposed as its own MCP server. Data syncs to PostgreSQL with explicit ACLs.
One bot lives in your corporate chats: mention an agent to trigger it, get notifications, and approve actions inline.
Audit log, flood valve, version management, permission isolation, and reversible PII redaction at the LLM boundary.
Your data stays yours. Same license model as GitLab CE.
| WorkAist | Dify | n8n | CrewAI | |
|---|---|---|---|---|
| Built for | Business ops | AI app builders | Automation | AI developers |
| Agent definition | Plain language | Visual workflow | Node editor | Python code |
| Inter-agent protocol | MCP + ACL | Workflow routing | Manual | Python |
| Process visibility | Visual DAG | Workflow view | Workflow view | None |
| Permission isolation | Group → table | Basic RBAC | Enterprise | None |
| Privacy | Reversible PII redaction | None | None | None |
| Self-hosted | Docker Compose | Docker | Docker | pip install |
| Cost tracking | Per-agent/user | None | None | None |
| License | AGPL-3.0 | Apache + prop. | Fair-code | Apache |
Dify builds AI apps. n8n automates workflows. CrewAI orchestrates Python agents. WorkAist is a framework for running your company on AI.
3 agents, 4 connectors
2 agents, Telegram bot
2 agents, 3 connectors
All three areas above run inside a single WorkAist instance — 16 entities sharing one Knowledge Graph, one database, and one corporate Telegram bot. Three business domains, one Company Brain.
We are looking for service providers — accountants, agencies, and outsourcers — who want to deploy WorkAist as a turnkey Company Brain for their SME clients.
Eligible partners can be co-funded through the European Digital Innovation Hubs (EDIH) network and the Digital Europe Programme. We provide the platform, training, and deployment support; you bring the client relationship and domain expertise.
$ git clone https://github.com/aist-guru/work.git $ cd work $ docker compose up -d
Open http://localhost — the Setup Wizard runs in your browser and configures everything; no .env files to edit.