Weavable gives AI agents persistent, live work context from the tools your business already runs on. Through a single MCP endpoint, it turns scattered updates, relationships, and system changes into a usable context layer so agents can reason more accurately without constantly re-ingesting data. The result is lower token usage, better outputs, and more reliable agent behavior across real business workflows.
Hey Product Hunt 👋 I'm Abesh, co-founder of That Works, and today we are launching Weavable.
The Problem
Teams building agentic workflows are sitting on a goldmine of work context: decisions, relationships, pipeline data and support history that is spread across every tool they use. Getting that context into agents reliably is still harder than it should be.
Most approaches follow one of two flawed paths:
❌ Direct app connections - raw API and MCP responses flood the model, token costs balloon, and the agent burns its context window figuring out what matters instead of acting on it.
❌ Static knowledge bases or RAG - context goes stale the moment it's captured. Agents work from the last snapshot and confidently get things wrong.
So we built Weavable.
The difference is measurable: one-tenth the tokens compared to direct app connections, with outputs preferred 85% of the time in LLM-as-a-judge evals.
How Weavable is Different 🔌
Weavable is context infrastructure for AI agents. Instead of dumping raw data at the model or freezing a snapshot, Weavable maintains a continuous updating changelog across your actual work tools, so the knowledge graph your agents reason from is always mapped, reconciled, and up to date.
🔷 Connect your tools: one OAuth flow covers HubSpot, Slack, Zendesk, Jira, GitHub, email. Scoped access, no broad permissions.
🔷 Define shared contexts: customer health might live across your HubSpot pipeline, Zendesk queue, and a Slack channel. Weavable pulls that together into a single context your whole team's agents reason from. No per-agent app connections, no duplicated permissions, no visibility gaps.
🔷 Plug it in: one MCP endpoint into Claude, Cursor, n8n, or any client you're running. Live in a few minutes.
Who is this for?
If you're building or operating agentic workflows on top of real work data, and you're tired of silent failures, token blowout, and context that's always slightly wrong - Weavable is built for you.
🚀 Get started today
Start free for 30 days, full access, no card required at weavable.ai
— Abesh & Varun
About Weavable on Product Hunt
“Give every AI agent persistent work context”
Weavable launched on Product Hunt on May 11th, 2026 and earned 128 upvotes and 21 comments, placing #8 on the daily leaderboard. Weavable gives AI agents persistent, live work context from the tools your business already runs on. Through a single MCP endpoint, it turns scattered updates, relationships, and system changes into a usable context layer so agents can reason more accurately without constantly re-ingesting data. The result is lower token usage, better outputs, and more reliable agent behavior across real business workflows.
On the analytics side, Weavable competes within SaaS, Artificial Intelligence and Operations — topics that collectively have 511.1k followers on Product Hunt. The dashboard above tracks how Weavable performed against the three products that launched closest to it on the same day.
Who hunted Weavable?
Weavable was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Weavable including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt 👋 I'm Abesh, co-founder of That Works, and today we are launching Weavable.
The Problem
Teams building agentic workflows are sitting on a goldmine of work context: decisions, relationships, pipeline data and support history that is spread across every tool they use. Getting that context into agents reliably is still harder than it should be.
Most approaches follow one of two flawed paths:
❌ Direct app connections - raw API and MCP responses flood the model, token costs balloon, and the agent burns its context window figuring out what matters instead of acting on it.
❌ Static knowledge bases or RAG - context goes stale the moment it's captured. Agents work from the last snapshot and confidently get things wrong.
So we built Weavable.
The difference is measurable: one-tenth the tokens compared to direct app connections, with outputs preferred 85% of the time in LLM-as-a-judge evals.
How Weavable is Different 🔌
Weavable is context infrastructure for AI agents. Instead of dumping raw data at the model or freezing a snapshot, Weavable maintains a continuous updating changelog across your actual work tools, so the knowledge graph your agents reason from is always mapped, reconciled, and up to date.
🔷 Connect your tools: one OAuth flow covers HubSpot, Slack, Zendesk, Jira, GitHub, email. Scoped access, no broad permissions.
🔷 Define shared contexts: customer health might live across your HubSpot pipeline, Zendesk queue, and a Slack channel. Weavable pulls that together into a single context your whole team's agents reason from. No per-agent app connections, no duplicated permissions, no visibility gaps.
🔷 Plug it in: one MCP endpoint into Claude, Cursor, n8n, or any client you're running. Live in a few minutes.
Who is this for?
If you're building or operating agentic workflows on top of real work data, and you're tired of silent failures, token blowout, and context that's always slightly wrong - Weavable is built for you.
🚀 Get started today
Start free for 30 days, full access, no card required at weavable.ai
— Abesh & Varun