Safe • Reliable • Flexible

Enterprise-safe coding agent

Local-first AI that respects privacy, proves reliability through multi-agent orchestration, and offers flexibility across 400+ models. Built for enterprises that can't send code to external servers.

Runs locally with Ollama (privacy-first)
Multi-agent validation (92% success rate)
400+ models via OpenRouter
Security-first: prompt injection detection, output validation, audit trails
Context continuity (import from Claude/Cursor)

Ship faster without losing control

Shows you exactly what it'll do first. Review it. Approve it. Or reject it. You're always in control.

Review before applying

See exactly what will change before it happens. Review checkpoints show file diffs, risk levels, and security findings. TraceSummary displays all changes. You decide what gets applied. Verified: Review flag works on all edit commands.

Learn what actually works

Track which commands work and which don't. See patterns over time. Know what to trust.

Security-first architecture

Enterprise-grade security: prompt injection detection, output validation, AI SAST scanning, license scanning, and compliance-ready audit trails. Defense in depth with multiple security layers. Export security audit logs with `codehere audit export`.

It remembers your codebase

Persistent memory across sessions. Learns from every interaction. View memories with `codehere memory`. The only AI that actually gets smarter with use. Verified: 750+ memories stored and accessible.

Plans complex changes

Hierarchical planning with memory integration. Breaks down multi-file refactors, figures out dependencies, coordinates changes automatically. Verified: Plans use 50+ memories for context.

Understands code structure

AST-based code understanding, not just text matching. Tracks caller/callee relationships. Intelligent chunking for better context.

How it works

1

Index once

Run `codehere index` and it learns your codebase. This takes a few minutes, but you only do it once.

2

Ask or fix

Ask questions: 'How does this work?' Or make changes: 'Add error handling here.' It understands context.

3

Review, then decide

See exactly what will change. Review it. If it looks good, approve. If not, reject it. You're always in control.

Your code never leaves your machine (in local mode)

Run it completely offline with local models. Totally free, no internet needed. Zero external calls verified. Or use OpenAI, Cohere, or OpenRouter for cloud processing. Your code stays in your repo. We don't train on it. We don't store it. We don't see it.

  • Code stays on your machine
  • You control which AI APIs are used
  • Local logs for every operation
  • Everything stored locally (no tracking)

Ready to try it?

Install. Index. Start asking. 30 seconds. No credit card. Works offline.