Codebase Explorer
Instantly navigate unfamiliar repositories. The explore agent maps file relationships, finds symbols, and traces usage patterns across your entire project.
OpenClawCode coordinates specialist AI agents that explore your codebase, write production-grade code, run verification, and help you deploy — all from your terminal.
Six specialist agents work together to handle the full development lifecycle — from exploration to deployment.
Instantly navigate unfamiliar repositories. The explore agent maps file relationships, finds symbols, and traces usage patterns across your entire project.
Your primary execution engine. Writes production code, runs tests, fixes errors inline, and commits verified changes — no hand-holding required.
Five parallel review agents check correctness, security, performance, style, and regressions. Get comprehensive feedback before any merge.
Systematic root-cause tracing that follows the call stack backward, adds instrumentation, and identifies the exact source of bugs — not just symptoms.
Decisions, patterns, and discoveries persist across sessions. OpenClawCode remembers your architecture, your preferences, and your project's history.
Dispatch multiple agents simultaneously for independent tasks. Wave-based execution ensures maximum throughput without conflicts.
From indie hackers to enterprise teams, OpenClawCode is changing how software gets built.
"We migrated our entire authentication system in a single afternoon. The build agent wrote the code, the review agent caught two edge cases, and everything passed CI on the first push."
"The persistent memory is a game-changer. I can pick up a feature branch two weeks later and OpenClawCode already knows the architecture decisions, the tradeoffs, and where I left off."
"I used to dread debugging legacy services. Now I point OpenClawCode at the failing test and it traces the root cause through three microservices in minutes, not hours."
No credit card required. Upgrade when your team needs more throughput.
For individual developers exploring AI-assisted workflows.
For professional developers who need parallel agents and persistent memory.
For engineering teams that need shared context and coordinated workflows.
OpenClawCode is language-agnostic. It works with any codebase that lives in a git repository — TypeScript, Python, Rust, Go, Ruby, Java, Swift, and more. Framework-specific skills (React, Next.js, Vue, Svelte, Flutter) are loaded on demand when detected.
OpenClawCode runs locally in your terminal. Code context is sent to the AI model provider you configure (OpenAI, Anthropic, or self-hosted). You control the model, the API key, and the data retention policy. No telemetry is collected without explicit opt-in.
Observations (decisions, bugs, patterns, discoveries) are stored in a local SQLite database with full-text search. Memory persists across sessions, so the agent remembers your architecture, past decisions, and project history. You can search, export, and prune memory at any time.
Yes. OpenClawCode commits to standard git branches and runs your existing test suites. It respects git hooks, branch protection rules, and CI checks. The build agent verifies changes locally before committing, reducing CI failures.
Every change is verified before being committed. If verification fails, the agent adjusts its approach automatically. Destructive actions (force push, file deletion, branch removal) always require your explicit approval. You stay in control.
Install OpenClawCode in under a minute. No configuration required — it reads your project structure and gets to work.
npx openclawcode init