This is What You Might Need; An Open-Source AI for Teams

Most organizations have AI work scattered across chat apps, notebooks, and scripts. That fragmentation slows iteration, hides useful work, and makes it hard to standardize prompts or implement guardrails. Weam, an open-source AI for teams fixes this by giving teams a shared layer—Brains—where conversations, prompts, agents, and documents live along with access controls. The result: reusable workflows, shared context, and fewer operational drag.

What is Weam

• Open-source AI for teams: Adopt, customize, and extend without black-box tools or lock-in.
• Multi‑LLM in a single interface: Switch between models like GPT, Claude, and Gemini—even throughout the same conversation.

• Custom agents: Build task-specific assistants grounded in your organization’s knowledge and workflows.
• Connections via MCP: Connect Slack, GitHub, Google Workspace, and more so agents can act on the information you have already got.
• Your deployment, your rules: Use the hosted cloud, one‑click cloud deployment, or self-host with Docker for full data control.

Brains: the hub for shared AI work

A Brain centralizes:

• Chats: Persistent, context-rich conversations that may be handed off across teammates.
• Prompts: Versioned, reusable templates that keep outputs on-brand and on-policy.
• Agents: Task-specific assistants with tools and domain knowledge baked in.
• Documents: Knowledge sources agents and chats can reference.
• Access controls: Organize Brains inside Workspaces so the best people see the best assets.

How teams use Weam across departments

• Sales
  • Use Pro Agents just like the Sales Video or Audio Call Analyzer to summarize calls, extract objections, and auto-generate follow-ups.
  • Share insights in a Sales Brain so marketing and product can spot trends.
• Marketing
  • Store brand guidelines and briefs as Documents.
  • Use an search engine optimisation Article Generator agent to draft on-brand, search-optimized content for review in the identical Brain.
• Support and QA
  • A QA Agent triages issues, generates test cases, and drafts responses out of your knowledge base.
  • Keep answers current by linking GitHub or ticket/ticketing data via MCP.
• Product and Engineering
  • Centralize architecture docs and RFCs; construct agents to reply technical questions, draft specs, or help with coding.
  • Pick the most effective model per task without juggling multiple tools or accounts.

Key advantages

• Single source of truth: Prompts, agents, and docs live together—no version hunting.
• Reusable workflows: Discover, copy, and adapt proven prompts and agents.
• Shared context: Transparent conversations and outcomes reduce duplication.
• Guardrails at scale: Standardize prompts and agents with permissions and controls.
• Model flexibility: Use the best LLM per step, without scattered subscriptions.

Integrate together with your stack

• Slack for conversational workflows and quick handoffs.
• GitHub, Google Workspace, and more via MCP so agents can securely use existing data.
• As it’s an open-source AI for teams it keeps them in a single interface.

Control, security, and deployment options

• Cloud: Start immediately with the hosted version.
• One‑click cloud deployment: Launch on AWS or DigitalOcean with automated scripts.
• Self‑host: Run on your individual infrastructure with Docker for full data control and compliance.
• Local development: Ideal for contributors and teams prototyping agents and prompts.

Get began in minutes

1. Create a Workspace and add teammates.
2. Spin up a Brain for a department or project.
3. Upload key documents and connect Slack/GitHub/Google via MCP.
4. Save your best prompts as shared templates.
5. Build a custom agent for a high‑leverage task (e.g., lead qualification, content drafts, QA triage).
6. Iterate together—chats, prompts, and agents evolve in a single place.

Open-source and community-driven

Weam is open-source and welcomes contributions across code, docs, and discussion. Adopt it as-is, customize it, or extend it with latest agents and integrations—in your timeline, not a vendor’s.

Why teams select Weam

• Centralized collaboration with Brains
• Multi‑LLM access in a single interface
• Custom agents grounded in your data
• Integrations through MCP
• Self‑host for complete control

Try Weam and explore the docs

• Weam: Open-Source AI for Teams
• Weam AI Cloud
• Documentation
• Choose your setup: cloud, one‑click deployment, or self‑host with Docker

With Brains because the shared layer for chats, prompts, agents, and knowledge, Weam turns scattered AI experiments into scalable, cross‑functional workflows your whole organization can trust.

Adopt AI Your Way to Build Better

Weam is an open-source for teams AI. A platform that brings chats, prompts, agents, and documents into shared spaces called Brains. It lets teams use multiple LLMs in a single place, integrate tools via the Model Context Protocol (MCP), and deploy within the cloud or self-host—so that you get faster collaboration, higher knowledge reuse, and no vendor lock-in.

Frequently Asked Questions

Weam AI is an open-source AI for teams that makes it easier for organizations to adopt, customize, and scale AI workflows without vendor lock-in. It provides a unified interface to multiple language models, collaborative features for teams, and tools to construct custom agents—all while ensuring full control over your data and infrastructure. Whether hosted within the cloud or deployed on your individual servers, Weam AI brings transparency and suppleness to team-based AI adoption.

What are the important thing advantages of using Weam AI?

The biggest advantage of Weam AI lies in being an open-source AI for teams. It enables organizations to:

• Collaborate Seamlessly: Designed for teams who wish to share prompts, workflows, and agents with ease.
  These advantages make Weam AI not only a platform, but a foundation for team-driven AI innovation.
• Access Multiple Models: Switch between GPT-5, Claude, Gemini, and more in a single workspace.
• Avoid Vendor Lock-in: Deploy in your infrastructure while keeping data in your control.

How can I start with Weam AI?

Getting began with Weam AI is straightforward, and its open-source AI for teams approach means you’ll be able to select the setup that works best:

• Local Development: Run it locally for testing or offline work.
  This flexibility ensures teams can begin experimenting with AI without friction and scale as their needs grow.
• Weam AI Cloud: Instant access through the hosted platform.
• One-Click Deployment: Launch quickly on AWS or DigitalOcean.
• Self-Hosting: Deploy on your individual servers for full control.

What can I do with Weam AI?

Weam AI empowers you to do more with open-source AI for teams by offering:

• Flexible Hosting: Run it within the cloud or on your individual infrastructure.
  This versatility ensures teams can shape AI to suit their exact needs.
• Access to Multiple Models: Use different AI models in the identical project or conversation.
• Custom Agents: Build assistants tailored to specific business functions.
• Team Collaboration: Share and co-create workflows across your organization.
• Integrations: Connect with Slack, GitHub, Google Workspace, and more.

Who can profit from using Weam AI?

Weam AI was built to bring the facility of open-source AI for teams into organizations of all sizes. It’s ideal for:

• Technical Teams: Looking for a less complicated option to adopt AI without juggling multiple vendors.
  In short, any team that wishes each collaboration and control will profit from Weam AI.
• Development Teams: Who need reliable access to multiple models.
• Digital Agencies: Managing client projects with isolated workspaces.
• Enterprises: Requiring strict compliance and data governance.