Weavable
weavable.aiPersistent work context for AI agents across your entire stack
AI Toolsmcpai-agentscontext-layerintegrationsdeveloper-toolsknowledge-managementworkflow-automation
About
Weavable is a context layer that connects AI agents and assistants to your team's work data across tools like Jira, GitHub, Slack, Linear, Notion, HubSpot, and Zendesk through a single MCP connection. It maintains a continuous changelog of changes across your stack, providing AI with a structured, unified graph of your work context rather than raw, siloed data. Developers and teams can use it with any MCP-compatible AI client including Claude, ChatGPT, or custom agents.
Problem
AI agents lack persistent, unified access to real work context spread across dozens of disconnected tools, making it hard to get coherent answers or automate cross-tool workflows.
For
Engineering managers, product managers, sales leads, and teams using AI agents with tools like Jira, GitHub, Slack, and HubSpot
How it works
Weavable runs a continuous changelog across your connected tools and exposes a single MCP endpoint that gives any AI assistant or agent structured, scoped, and de-noised context from your entire stack at once.
Business model
unknown
Status
launched