Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.
Persistent context layer for AI agents to connect and reason across business tools.
- Providing AI agents with live, cross-platform context for project management
- Reducing LLM token costs by pre-processing and scoping data
- Standardizing AI responses across a team using shared context endpoints
- Tracking business entity changes across HubSpot, Jira, and Slack simultaneously
- Users connect their existing tools via a single OAuth flow
- define the specific projects or channels that matter for a workflow to set the data perimeter
- and then plug the resulting single MCP endpoint into any AI client like Claude
- Cursor
- or ChatGPT.
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