Signal, not noise
Hybrid semantic and lexical retrieval helps distinguish useful code from irrelevant context. Exact identifiers stay important.
Introducing ARHERA Early access
Your AI knows how to code.
ARHERA helps it know your codebase.
Give your coding agent the right repository context before you pay it to think. Persistent local intelligence, focused evidence, and less repeated discovery — without locking your project to one AI.
Local-first indexingOne canonical engineSource-grounded context
Built for the code you already own. Designed around useful context, traceable sources and reusable project intelligence.
arhera / context packetMCP
01 / AGENT QUESTIONLOCAL CONTEXT
“Where are session tokens validated, and which modules are involved?”
02 / RELEVANT SOURCES
src/auth/session.tssession validation · token lifecycle
sourcesrc/api/middleware.tsrequest authorization boundary
linkedsrc/auth/types.tsrelated types · shared contract
symbol↗Focused context selected for your coding agent
ILLUSTRATIVE CONTEXT PREVIEW
14MCP client adapters in the integration registry
3Desktop platforms in scope: Windows, macOS, Linux
1Shared repository intelligence engine, not fourteen copies
WHY ARHERA EXISTS
Don't make your AI rediscover your codebase every session.
Modern coding agents are good at reasoning. But they still need to discover the right files, follow imports, understand symbols and reconstruct relationships before that reasoning is useful. ARHERA moves repository understanding closer to the source.
Code has structure
Imports, neighboring symbols and dependency relationships provide context that a simple vector search can miss.
Intelligence that persists
Reuse repository indexing between sessions instead of starting from a cold search in each new agent conversation.
THE ARCHITECTURE
Your repository. One intelligence layer. Any compatible agent.
ARHERA is not another foundation model, a chatbot or an IDE replacement. It is built as a local-first repository intelligence engine with CLI and MCP as interfaces over the same Core.
Index your project, retrieve source-aware evidence and give your AI a focused context packet within its available token budget.
- ✓ Keep repository indexing and retrieval local by default
- ✓ Ground useful context in the relevant source files
- ✓ Switch coding agents without rebuilding the intelligence engine
ARCHITECTURE / CONCEPTUAL FLOW
Your repositorysource code
ARHERA / ONE CORElocal-first
INDEX · RETRIEVE · RANK · BUDGET
CLIlocal
MCPtools
Your AI coding agentyour choice
Core processing is designed to stay local. Updates, model/runtime downloads and user-configured external providers may involve network communication.
SAME MODEL. BETTER STARTING POINT.
Less cold discovery. More useful reasoning.
Our goal is useful source-grounded context per token, not a marketing percentage disconnected from real projects.
WITHOUT A REPOSITORY INTELLIGENCE LAYER
Start with a cold repository walk.
Each new agent may need to search, inspect and reconstruct the same code relationships.
- −Broad file reads before finding the signal
- −Repeated discovery across sessions
- −Irrelevant snippets competing for attention
WITH ARHERA
Start with reusable project intelligence.
Retrieve relevant, code-aware evidence through the same persistent local-first engine.
- ✓Ranked sources and relevant code relationships
- ✓Persistent index across requests and sessions
- ✓Context selection with token budget awareness
AN OPEN INTEGRATION SURFACE
14 MCP client adapters. Your choice of coding workflow.
ARHERA's documented integration registry includes adapters for fourteen AI environments. One engine serves different tools — not a separate implementation per IDE.
WindowsmacOSLinux
Built for Windows, macOS and Linux. Exact release qualification varies by OS and artifact; an available adapter is not the same as an independently verified client session.
VS Code
Cursor
Claude Desktop
Windsurf (Devin)
Zed
Cline
Roo Code
ZOO Code
Claude Code
OpenCode V2
Codex
Gemini CLI
Kiro
GitHub Copilot CLI
14 = built-in MCP client configuration adapters, not “14 tool calls”, simultaneous connections, or fourteen separately certified end-to-end client integrations. Feature availability and exact client versions depend on the release.
THE ESSENTIALS
Questions worth answering.
Does ARHERA replace my AI coding assistant?
No. ARHERA provides repository intelligence to supported AI tools via MCP and CLI. Your existing agent still does the reasoning and coding.
Does ARHERA upload my repository to a cloud service?
Core indexing and retrieval are local-first. The product may access the network for installation, updates, managed runtimes and models. If you configure external providers or endpoints, data may be sent under those settings.
Can I use ARHERA on Windows, Mac and Linux?
The product targets Windows, macOS and Linux. Specific supported configurations and verification results will be published with each qualified release. Platform intent does not mean every operating-system and AI-client combination has already passed acceptance testing.
Are all fourteen integrations already independently verified?
The built-in registry contains fourteen MCP client adapters. Adapter availability is different from successful real-world validation of every client, version and operating system. We intend to make qualification evidence explicit.
When will ARHERA be available?
We are preparing early access. Leave your email below to request updates and availability announcements.
ARHERA · EARLY ACCESS
Your AI is ready to code.
Give it the right context.
Join the ARHERA early-access updates. We're building repository intelligence for people who want their AI agents to understand the code before they change it.
Your email is used to respond to your early-access request. The form doesn't collect your repository code. For privacy questions: contact@arhera.com.