Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

Weavable

Give every AI agent persistent work context

Details

External ID
1131047
Source
PH
Company
—
Product
Weavable
Website domain
producthunt.com
Launched
May 11, 2026
Cohort
—
Upvotes
234
Upvotes percentile
0.44711538461538464
Tags
SaaS, Artificial Intelligence, Operations
Fetched at
Sept. 7, 2026, 1:22 a.m.
Updated at
Sept. 7, 2026, 1:22 a.m.

Description

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.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
persistent context storage for ai agents
Manually corrected
False

Could you build this?

Partial Creating a Model Context Protocol (MCP) server is simple, but building a real-time event ingestion and dynamic knowledge-graph reconciliation engine across disparate enterprise SaaS tools is technically demanding.

What it would actually take: A real version relies on a streaming event-driven architecture (e.g., Kafka, Flink) that connects to dozens of third-party SaaS APIs (Slack, Jira, GitHub, Notion) via webhooks and continuous polling. The hard part is constructing an incremental, real-time entity-relationship graph or memory store that tracks live state transitions and deduplicates context without exceeding agent token budgets. It requires data engineering expertise in knowledge graph construction, graph databases (Neo4j, Memgraph), and distributed sync protocols.

Competitors

Other products that read as similar to this one — 238 launches clear the similarity bar, closest 8 shown.

Attention rank: #128 of 239 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 186 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a data infrastructure tool for Media & entertainment yet.