Agentic Code Intelligence

Your entire codebase,
hive-minded.

Hivemind indexes every repo, doc, and PR across your org — then answers in context, inside your editor, via MCP.

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2,400+

Engineers

18k+

Answers per day

38ms

Avg latency

The problem

Knowledge is everywhere. Context isn't.

Your team's collective intelligence is scattered across dozens of tools. Every context switch costs focus, every search costs time.

Context lost in Slack threads

Answers buried in 3-year-old threads. New engineers spend days finding what took veterans minutes.

Docs drift from reality

READMEs last updated in 2021. By the time your AI assistant reads them, the API has changed twice.

GitHub search returns noise

100 results, 3 relevant. Ctrl+F your way through legacy monorepos while your PR sits in review.

Generic AI hallucinates

LLMs trained on public code don't know your internal patterns, your naming conventions, your infra.

How it works

From scattered docs to instant context in 4 steps

Connect your sources

Link GitHub, GitLab, Confluence, Notion, Slack, and more via OAuth. Hivemind crawls your entire knowledge graph in minutes.

Repos · Docs · PRs · Threads · READMEs

Hivemind indexes in context

Our agentic pipeline chunks, embeds, and stores semantic snapshots of every artifact — tied to commit SHA, not static text.

Qdrant vector DB · AST-aware chunking · nightly syncs

Ask inside your editor

Install the MCP server. Your AI assistant (Cursor, Copilot, Claude) now has deep, real-time access to your codebase context.

Model Context Protocol · <50ms P95 · LangCache semantic cache

Ship with confidence

Every answer is grounded in current source code — not 2-year-old docs. Citations link back to the exact file and commit.

Cited sources · Hallucination-resistant · Audit logs

Features

Everything you need, nothing you don't

Built for engineering teams who ship fast and can't afford to chase context.

MCP Native

Works inside your AI tools

Hivemind exposes a Model Context Protocol server so Cursor, GitHub Copilot, and Claude can query your codebase in real-time — no copy-pasting context.

// .cursor/mcp.json
{
  "mcpServers": {
    "hivemind": {
      "command": "npx",
      "args": ["-y", "@hivemind/mcp"],
      "env": { "HIVEMIND_TOKEN": "hm_..." }
    }
  }
}

Semantic Cache

38ms P95 latency

LangCache means recurring questions return instantly. Embeddings are deduplicated so you only pay for novel queries.

Agentic Pipeline

Always-fresh context

Nightly index runs keep embeddings in sync with your latest commit SHA. No stale answers.

Enterprise Ready

SSO · RBAC · Audit logs

SAML SSO, fine-grained repo access controls, and immutable query logs for compliance teams.

Multi-source

Unified knowledge graph

GitHub, GitLab, Confluence, Notion, Slack — all indexed together. One query surfaces the right answer regardless of where it lives.

Live demo

Ask anything about your codebase

Real answers, grounded in current source code — with citations and latency in milliseconds.

hivemind · answer42ms

$ query

How does our OAuth refresh token flow work?

→ answer

The refresh flow lives in `apps/api/src/auth/refresh.ts`. When a token is within 5 minutes of expiry, `refreshAccessToken()` is called automatically by the Hono middleware. The new 15-min JWT is signed with `AUTH_SECRET` and returned via `Set-Cookie` (httpOnly, sameSite=strict). See also the session schema at `packages/db/src/schema/sessions.ts:L34`.

Sources: auth/refresh.ts · sessions.ts

MCP-first

Works where you already code

Hivemind speaks Model Context Protocol natively. Plug it in once and every AI tool in your workflow gains instant access to your org's full knowledge graph.

Cursor

Attach Hivemind as a native MCP server in your Cursor rules.

GitHub Copilot

Ask @hivemind in Copilot Chat for deep codebase context.

Claude

Connect via MCP in Claude Desktop for repo-aware conversations.

VS Code

GitHub Copilot extension surfaces Hivemind context inline.

mcp.json

// Model Context Protocol connection
{
  "hivemind": {
    "command": "npx @hivemind/mcp",
    "env": {
      "HIVEMIND_TOKEN": "hm_xxxxxxxxxxxxxxxx",
      "HIVEMIND_ORG": "your-org"
    }
  }
}

// Ask your AI assistant:
// "Using @hivemind, how does our billing module handle 
//  failed webhook retries?"

38ms

P95 latency

64%

cache hit rate

99.9%

uptime SLA

Social proof

Teams that hive-mind ship faster

“Hivemind cut my onboarding ramp from 3 weeks to 3 days. I could ask it 'how does auth work' and get a cited answer pointing directly at the right files — not some hallucinated guess.”

Priya S.

Senior SWE, Series B fintech

“We replaced a 14-tab browser session with one Cursor prompt. Context switching was destroying our velocity. Hivemind fixed it in an afternoon.”

Marcus T.

Staff Engineer, 80-person startup

“The MCP integration is the key differentiator. Every junior on our team now has senior-level codebase knowledge the moment they open Cursor.”

Aisha K.

Engineering Manager, SaaS co.

“Latency is genuinely 38ms. I've used every knowledge tool in the space and nothing comes close. The semantic cache is magic.”

Tom L.

Lead DevEx Engineer

“Hivemind pays for itself if it saves one engineer 30 minutes a week. It saves them 2 hours minimum.”

Rekha M.

CTO, 200-person engineering org