# XERJ — AI Coding Tool Review & Pricing

> XERJ is a high-performance, single-node search and memory engine for AI agents that speaks the Elasticsearch REST API. It uses automated, zero-config indexing to process local files—including code, documents, and logs—enabling agents to retrieve specific information without loading massive amounts of data into their context windows.

Source: https://ai.dosa.dev/tools/xerj · Updated Oct 15, 2026 · Category: AI Codebase Knowledge & Generation · Published by dosa.dev

## At a glance

- **Tool**: XERJ
- **Company**: XERJ
- **Category**: [AI Codebase Knowledge & Generation](https://ai.dosa.dev/category/codebase-ai)
- **Pricing model**: Freemium
- **Official website**: https://xerj.org

## Key features

- Zero-config autoindexing of code, PDFs, logs, and structured data
- Elasticsearch 8.13 wire-protocol compatibility
- Hybrid keyword and semantic retrieval without external dependencies
- Isolated per-agent memory storage via the /_memory API
- AST-aware code indexing using tree-sitter

## Pricing

**Model**: Freemium

Open-source single-node Community tier; Professional (HA) and Enterprise (Multi-region/Compliance) tiers are paid per-node or custom.

## Who it is for

- **Best for**: Reference coding, AI agent memory, security audits, and replacing heavy ELK stacks with a single lightweight binary.
- **Not ideal for**: Use cases requiring massive horizontal sharding, distributed multi-node replication (in the community tier), or web crawling.

## Verdict

An exceptionally efficient engine for local AI development that significantly reduces context-window token waste by enabling precise retrieval over indexed local corpora.

## Recent updates

Version v1.0.0-rc.95 released on 2026-10-12, adding OLE2 Office (.doc,.xls) support and versioning refinements.

## Frequently asked questions

### Is XERJ free?

XERJ is Freemium. Open-source single-node Community tier; Professional (HA) and Enterprise (Multi-region/Compliance) tiers are paid per-node or custom. Check the official site for current plans.

### Is XERJ open source?

XERJ is not listed as open source on ai.dosa.dev - it is Freemium.

### How much does XERJ cost?

Open-source single-node Community tier; Professional (HA) and Enterprise (Multi-region/Compliance) tiers are paid per-node or custom. Pricing changes often - verify on the official site.

### Who is XERJ best for?

Reference coding, AI agent memory, security audits, and replacing heavy ELK stacks with a single lightweight binary.

### Who is XERJ not ideal for?

Use cases requiring massive horizontal sharding, distributed multi-node replication (in the community tier), or web crawling.

### What are the best XERJ alternatives?

The closest XERJ alternatives on ai.dosa.dev are Greptile, Fern, remio - all listed under AI Codebase Knowledge & Generation.

### Who makes XERJ?

XERJ is developed by XERJ. It is listed in the AI Codebase Knowledge & Generation category on ai.dosa.dev.

## Top alternatives

- [Greptile](https://ai.dosa.dev/tools/greptile) (Freemium) — Engineering teams needing consistent, context-aware code reviews and automated validation that integrates across multiple AI coding agents.
- [Fern](https://ai.dosa.dev/tools/fern) (Freemium) — Teams needing to keep SDKs, documentation, and AI-agent knowledge bases in sync with their API specifications.
- [remio](https://ai.dosa.dev/tools/remio) (Freemium) — Knowledge workers such as consultants, researchers, product managers, and strategists who need to synthesize large volumes of internal documentation, meetings, and research into actionable outputs.
- [ContextStream](https://ai.dosa.dev/tools/contextstream) (Freemium) — Developers seeking to maintain consistent project context, reasoning, and decision history across different AI coding sessions and tools without repeating instructions.
- [OKF Agent Memory](https://ai.dosa.dev/tools/okf-agent-memory) (Open Source) — Software engineering teams and developers needing auditable, version-controlled AI agent memory without the latency or recurring costs of vector databases.
- [Tseha](https://ai.dosa.dev/tools/tseha) (Freemium) — Engineering teams that want to ensure AI coding agents consistently follow internal architectural rules, use approved components, and apply current design tokens across multiple repositories.
- Full alternatives guide: https://ai.dosa.dev/tools/xerj/alternatives