The context engine for AI agents on large codebases
Semantic search plus a live code graph of calls and dependencies, served over MCP and API to Cursor, Claude Code, Codex, and any agent you run. Precise, cited context with 45% fewer tokens, at ~25× lower model cost.
Playground requires no signup - Index your first repo in minutes
Works with the tools you already run
Index. Retrieve. Ground.
Your repos become a queryable map of the system — and every agent answer comes back grounded in it.
- 01
Index
Connect your repos. CodeAlive builds a code graph — files, symbols, calls, dependencies, tests — and keeps it fresh on every push.
- 02
Retrieve
Every query runs hybrid retrieval:
semantic search+ lexical match + graph traversal. Results carry relationships, not just similarity. - 03
Ground
Agents call CodeAlive over
MCPor API and get precise, cited context: the right files, the call chain, and the tests that cover it.
The code graph behind every answer — entities and the relationships between them.
One context engine. Three ways to use it.
Every surface queries the same code graph — pick the one that fits your workflow.
Ground any coding agent
Add the CodeAlive MCP server to Cursor, Claude Code, or Codex — or call the REST API from your own agents and CI. One endpoint, the whole codebase.
Explore MCP & API{
"mcpServers": {
"codealive": {
"url": "https://mcp.codealive.io/api/"
}
}
}
// tools: semantic_search · grep_search · chatAsk multi-step questions across repos
Deep Research plans, traverses the graph across services, and returns a cited report — architecture, data flows, and the impact of a change.
Explore Deep Research- Parse question
Decompose 'How does our payment flow work?' into retrievable sub-queries.
- Retrieve context
Pull PaymentService, OrderRouter, and webhook handlers from the knowledge graph.
- Multi-hop reasoning
Trace the chain from API entry to service to external vendor to confirmation.
- Cite & answer
Grounded answer with file:line references back to your code.
Review PRs with full-system context
The Code Review Agent runs on pull requests and catches changes that look safe in the diff but break flows two services away. Posts straight back to your Git provider.
Explore Code Review+5 / -1@@ -42,7 +42,12 @@ services/checkout.ts
async function checkout(order) {
- const total = order.items.reduce((s, i) => s + i.price * i.qty, 0)
+ const total = computeTotal(order.items)
+ if (!Number.isFinite(total)) {
+ throw new Error('invalid order total')
+ }
return paymentService.charge(order.customerId, total)
}CodeAlive · review
This logic already exists in PaymentService.computeTotal(). Extract the helper instead of duplicating it.
45% fewer tokens. Higher answer quality. Same benchmark.
Measured on RepoQA — not on a slide. Full methodology, prompts, and raw runs are public.
−45%
fewer tokens to answer the full RepoQA suite — from 3.99M down to 2.17M
+6.5 pts
higher answer quality, on roughly half the context
~25×
lower model cost vs. frontier agents on identical tasks
RepoQA: CodeAlive + Qwen3.6 deep vs Claude Opus 4.8 max / Codex GPT-5.5 high. Real results vary by repository and task mix.
What teams run on the engine
Ground coding agents
Give Cursor, Claude Code, Codex, and custom agents system-level context before they write a line.
Review with full context
Catch cross-service breakage that diff-only review tools never see.
Onboard engineers faster
New joiners ask the codebase instead of interrupting your senior engineers.
Investigate incidents
Trace behaviour across services, tests, and dependencies in minutes, not days.
Fits your stack. Stays inside your perimeter.
Connects to
Indexes any text-based source — TypeScript, Python, Go, Java, C#, Rust, and more.
- Git
- GitHubGitLabBitbucketAzure DevOpsGitea
- Agents
- CursorClaude CodeCodexWindsurfZedContinue
- IDEs
- VS CodeJetBrains
- CI/CD
- Any pipeline — review agent posts back to your Git provider
Runs inside your perimeter
Cloud by default. Fully self-hosted when your code can't leave the building.
Your code stays put — self-hosted deployments never send code outside your network.
Bring your own LLM — Qwen, Llama, gpt-oss, or any OpenAI-compatible endpoint.
Encrypted at rest — AES-256-GCM with per-organization keys; we never train on your code.
Docker Compose · Kubernetes · Helm — deploys like the rest of your infra.
What our customers are saying
We have a pretty complex codebase that tools like Cursor and DeepWiki couldn't quite figure out on their own. I decided to index our project with CodeAlive and was pleasantly surprised, as its responses demonstrated a deeper understanding of our project's logic.
The CodeAlive's "Deep" chat really creates nice results. From a developer's perspective - joining a new project and getting their first tasks (e.g., add a new DDD Entity in a complex project) - the AI produces an accurate how-to. I like this!!!
During our work with CodeAlive, we've found that it's beneficial for our QA by helping with writing test cases and describing bugs. It also accelerates project onboarding. A very useful product!
Transparent usage-based pricing. Your monthly balance covers search, chat, deep analysis, and code review.
Try CodeAlive without signing up
Browse our hand-picked, pre-indexed open source repositories.
Free
$0/ month
Free tier
Estimate with calculator- 1 user / 1 workspace
- 25 MB total repo size
- Public & private repos
- 100 chat requests / month
- MCP access
Get Started Free
For individual developers indexing a single small project.
Hobby
$15/ month
$15 monthly usage balance
Estimate with calculator- 1 developer
- Up to 100 MB codebase
- Semantic code search
- Chat with your code
- Set your own spending cap
- ≈100 chats or ≈750 searches
Get Started
For a solo developer who wants semantic search and chat on a focused codebase.
Pro
$50/ month
$50 monthly usage balance
Estimate with calculator- 1 - 3 developers
- Up to 100 MB codebase
- Deep analysis
- AI Code Review
- Spending cap & usage alerts
- ≈330 chats or ≈2,500 searches
- Everything in Hobby
Get Started
For developers and small teams that need deep analysis, AI code review, and more usage.
Team
From $100/ month
$100+ monthly usage balance
Estimate with calculator- 5 - 15 developers
- 100 - 500 MB codebase
- Team spending controls
- Usage analytics dashboard
- Priority support
- ≈5,000+ searches / month
- Everything in Pro
Contact Sales
For engineering teams with larger codebases, team controls, analytics, and priority support.
Give your agents the whole codebase
Index your first repo in minutes — or try the Playground without signing up.