probelabs/probe — AI-friendly semantic code search engine for large codebases.

Description and use

**Brief Summary**
Probelabs / probe is an open‑source, AI‑friendly semantic code‑search engine built in Rust. By pairing ripgrep‑level speed with tree‑sitter AST parsing, it delivers precise, context‑aware code retrieval that AI assistants can use to understand and act on large codebases.

**Value**

• **Standardised AI‑tool bridge** – Probe implements the Model Context Protocol, giving AI agents a uniform way to query real code, metadata, and tool outputs instead of relying on ad‑hoc prompts.
• **Speed + semantics** – Ripgrep‑style indexing makes searches instant, while tree‑sitter AST analysis adds language‑aware relevance, reducing hallucinations and improving the quality of generated code suggestions.
• **Extensible integration layer** – The project ships an HTTP API, a Rust SDK, and a CLI, allowing developers to embed the service in IDE extensions, CI pipelines, or custom AI agents with minimal boilerplate.

**Practical Adoption Path**

1. **Pilot the API/CLI** – Deploy the pre‑built Docker image (or compile from source) in a staging environment and run a few representative queries against your monorepo.
2. **Connect your AI assistant** – Point the assistant’s Model Context Protocol client to the Probe endpoint; the assistant can now request “search for all functions that open a network socket” and receive exact code snippets with AST locations.
3. **Wrap as a service** – For production, run Probe behind a load‑balanced service mesh, enable TLS, and configure incremental indexing pipelines (e.g., GitHub webhook → probe index).
4. **Extend with SDK** – Use the Rust SDK (or community bindings) to add custom metadata (e.g., code owners, CI status) to the search index, enriching the context the AI receives.

**Production Readiness**

• **Activity & adoption** – 644 ★, 63 forks, recent commits (last update 2026‑06‑26), and multiple downstream projects already using Probe indicate a healthy community.
• **Maturity** – Core features (indexing, API, CLI) are stable; the Rust codebase is well‑typed and audited, and the project follows semantic‑versioning.
• **Risk profile** – No major metadata or licensing red flags, though a final security audit and confirmation of active maintainers are advisable before a full‑scale rollout.

Overall, Probe is a high‑readiness OSS component that can be deployed quickly to give AI assistants reliable, real‑time access to your codebase, turning generic language models into truly tool‑aware developers.

Problem

probelabs/probe helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

AI-friendly semantic code search engine for large codebases. Combines ripgrep speed with tree-sitter AST parsing. Powers AI coding assistants with precise, context-aware code understanding.

Source