OpenCrawl GTM brain

OpenCrawl provides shared memory and communication across a team's coding agents and sessions.

category

Shared context for coding agents

market profile

  • text: Agent context is often isolated by person, tool and session, creating duplicate work and missed decisions.
  • text: As teams use multiple coding agents, a shared context layer competes with agent-specific memories and developer search tools.

personas

  • title: Engineering manager
    pains:
    • Agents on different developers' machines repeat investigation or make conflicting changes
    • Hard to see whether agent use saves time across a team
  • title: Staff software engineer
    pains:
    • Prior design decisions disappear after session compaction
    • Agents cannot find teammates' work across tools and sessions
  • title: Developer infrastructure lead
    pains:
    • Needs consistent context across multiple coding-agent products
    • Must assess access controls and sensitive session capture before rollout

icp

  • text: Software engineering teams using multiple coding agents such as Claude Code, Codex and Cursor; company size threshold is unconfirmed.
  • text: Teams with frequent parallel agent sessions, shared codebases and decisions scattered across development tools.

message pillars

  • text: Share memory across a team's agents.
  • text: Make the cost of isolated agent sessions visible.
  • text: Offer a hosted path and a self-host option.

objections

  • objection: Will captured sessions expose secrets or private team information?
    response: Review capture consent, access boundaries and data handling before rollout; the website says self-hosting is coming soon.
  • objection: Will the memory work across the agents we already use?
    response: Pilot the listed integrations with the team's actual agents and verify retrieval in fresh sessions.
  • objection: Will extra context distract agents or add cost?
    response: Compare a small cohort on duplicate work, relevant retrieval and token use before expanding.

competitors

  • name: Mem0
    why: Offers persistent agent memory and coding-agent integrations.
  • name: Cognee
    why: Indexes context into shared agent memory, with cloud and self-hosted options.
  • name: Letta
    why: Provides agent memory and a coding agent with shared memory options.

keywords

  • shared coding agent memory
  • AI agent team context
  • Claude Code shared memory
  • cross agent context
  • coding agent coordination
  • persistent AI agent memory

voice

  • developer friendly
  • conversational
  • problem led

signals

  • text: An engineering team uses several coding agents concurrently on the same repositories.
  • text: Developers report repeated agent investigations, conflicting edits or lost context after compaction.

stack

  • Claude Code
  • Codex
  • Cursor
  • MCP
  • Docker

pricing

model: freemium
starting price: 100 million new agent-session tokens free monthly, then $0.50 per million

motion

hybrid

channels

  • developer website
  • YC directory
  • open source

confidence

medium

Founders

  • name: Shalin Patel
    title: Founder/CEO
    role: CEO
    bio: Co-founder and CEO of OpenCrawl (YC F26) | Waterloo CS. Previously built data infra for 1B+ people and company rows at Pocus, acquired by Apollo.io. Also worked on data platforms at nine engineering teams across pre-seed to series F.
  • name: Deep Utkarsh
    title: Founder/CTO
    role: CTO
    bio: Co-founder and CTO of OpenCrawl. Previously built GTM agents at Pocus, acquired by Apollo.io. Built AI platform and query compiler at Sigma Computing, including Lookups (VLDB 2022 paper). BS Cognitive Science from Tufts.

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