Weavable - Give every AI agent persistent work context | Product Hunt

Plug real work contextinto your entire AI stack.

Connecting tools to AI is easy. Getting reliable answers out isn't.

Weavable is the context layer between your stack and your agents. Structured, scoped, maintained. So you build workflows, not plumbing.

Read only accessSOC2HIPAACancel anytime
Tools you can connect:
GoogleZendeskNotionLinearGitHubJiraSlackHubSpotClaudeGoogleZendeskNotionLinearGitHubJiraSlackHubSpotClaudeGoogleZendeskNotionLinearGitHubJiraSlackHubSpotClaudeGoogleZendeskNotionLinearGitHubJiraSlackHubSpotClaude
+ more
90%reduced token usage
85%preferred in LLM-as-a-judge evals
01Workflow
Ready your stack
Setyourcontext
Goplug it in your AI
Connect your tools
Define your context
Weavable builds the graph
Plug into any AI client
01

Connect your tools

One OAuth flow. 20+ tools connected in minutes. No server to host, no credentials to manage.

02

Define your context

Pick the tools, projects, channels, and pipelines that matter for this workflow. Scope it once. Weavable handles the rest.

03

Weavable builds the graph

Entities resolved across tools. Changes tracked continuously. Relationships mapped. Your context is live and current before any query runs.

04

Plug into any AI client

One MCP endpoint. Use it in Claude, Cursor, ChatGPT, or any agent. Share it with your team. It stays current automatically.

02The problem

Raw inputs.Inconsistentoutputs.

Direct tool connections pass everything to your model, every ticket, every commit, every message, every run. The model decides what's relevant on the fly, differently each time. Context window floods. Answers drift.

Weavable removes that decision from the model entirely. Define the data perimeter once, everything pre-processed, scoped and ranked is what the model reasons with.

03Why it Works

Built on achangelog,not a snapshot.

Every MCP connection queries your tools at the moment you ask. Point-in-time. No history. No pattern.

Weavable runs a continuous changelog across your stack. What changed, when, and what it connects to, tracked before you ask. So "what's happening with Acme" is built on accumulated changes across HubSpot, Jira and Slack, not a snapshot taken a second ago.

04Connected graph

Cross-tool context,notdisconnectedfragments.

A blocked ticket, a quiet Slack channel, a stalled deal, most systems return three separate data pulls. Your model figures out they're the same account on every run, from scratch.

Weavable maps relationships across your tools before any query runs. A ticket, a thread, a deal, linked by account, by team, by timeline. The model reasons over a connected graph, not disconnected fragments.

Deterministic by default

Same scoped foundation every run. Same answer at 9am and at midnight.

Zero maintenance

Weavable absorbs upstream changes. Renamed channel, restructured project, your workflows don't break.

Portable across clients

One context endpoint. Share with your team, they get exactly the access you defined, across any MCP client.

05For your whole team

Give every workflow the context your team already has.

Every direct MCP connection is a separate OAuth flow, per app, per user, per client. Weavable handles all of it in one place, with access scoped to exactly what you define.

Access Control

Share context, not credentials

Your team gets exactly what you scoped, nothing more. Share a context endpoint, revoke access in one action, no per-user OAuth required.

Data Scoping

Exclude what AI shouldn't see.

Your team gets exactly what you scoped, nothing more. Share a context endpoint, revoke access in one action, no per-user OAuth required.

Setup

Live in under 15 minutes.

No MCP server to host. No vector database. No ingestion pipeline. Connect via OAuth, define your scope, done.

And More

Audit trail. REST API. SSO.

Every query logged. Access any context programmatically via REST. SAML, Okta, and Google Workspace supported. Scheduled automations available.

Honest answers tothe obvious questions.

You can. You'll get raw API responses with no shared understanding of how your tools relate to each other. The model re-figures out what's relevant on every run, differently each time. Weavable pre-builds the relationships, tracks what changed, and scopes exactly what reaches the model. Direct connections give you access. Weavable gives you context.

No. MCP servers give models tool access. Weavable is the context layer above those connections: it resolves entities across tools, tracks changes over time, and enforces scope. You can plug our output into any MCP-compatible client.

No. Weavable exposes one MCP endpoint you plug into whatever you already use — Claude, Cursor, ChatGPT, internal agents. Nothing else changes.

We handle it. Renamed channels, restructured projects, schema migrations — Weavable absorbs upstream changes so your workflows stay stable.

Read-only OAuth, scoped by design, never used for training, SOC2 Type II + HIPAA certified. Independently audited annually. Report available on request.

06Trust

Built for teamswho can't affordto get this wrong

SOC2 Type II + HIPAA certified

Independently audited annually. Report available on request.

Read-only OAuth

Weavable can't write to any of your tools. Minimum permissions, always.

Never used for training

Your data stays yours. Not shared, not retained, not used to train any model.

Scoped by design

Weavable can only see what you've explicitly included. Nothing else is reachable, not by accident, not by default.

07Pricing

Pricing

Individual

Connect your tools, create a context, and plug it into your AI stack.

  • Connect all your tools
  • SOC2 + HIPAA
  • 30 days free, and then $20/month
  • For Individual use
GET STARTED FREE

Teams

More features, more control for teams

  • Shared Team contexts
  • Upto 25 seats included
  • Additional Credits
CONTACT US

Custom

Bring shared context to your organization

  • SSO/SAML support
  • Access Logs
  • Private Instances
CONTACT US