Sourcegraph Alternatives 2026: Open Source, Self-Hosted and AI Context

The best Sourcegraph alternative depends on what you used Sourcegraph for. For exact and regex search you can self-host, use Zoekt (the engine inside Sourcegraph) or OpenGrok. For search you don't run yourself, GitHub or GitLab code search. For giving AI agents context, Augment's Context Engine or repowise over MCP. For understanding a codebase, repowise.

I build repowise, so read the rows about it with that in mind. I have tried to give each tool the job it is actually good at.

Reasons teams look for a Sourcegraph alternative in 2026

Price, licensing and the way teams read code have all changed, and each change pushes a different group of users away.

Price

Sourcegraph's pricing page lists one plan, Enterprise, starting at $16K a year on an annual contract. There used to be a free self-hosted tier and a cheap Cody plan for individuals. Cody Free and Cody Pro stopped taking signups in mid-2025, and Cody now ships only inside Enterprise. Amp, the agent Sourcegraph built next, was spun out into its own company in December 2025. If you are a team of eight, the starting price alone ends the evaluation.

License

Sourcegraph moved much of its code to an enterprise license in June 2023, and on 22 August 2024 made its main repository private. A public snapshot of the last Apache-licensed commit still exists, but it no longer gets updates. People who searched "sourcegraph open source" a few years ago found a real answer. Today the open part is Zoekt, the search engine underneath, which Sourcegraph still maintains under Apache 2.0.

Who reads the code

A lot of teams bought Sourcegraph so engineers could find code across repos. Now coding agents (Claude Code, Cursor, Codex) read code too, and what an agent needs is an answer to "which files matter for this change, and what breaks if I touch them", which a list of every match doesn't give. Sourcegraph has answered that too: it now has a generally available MCP server (MCP is the standard way an agent calls outside tools), with tools such as keyword search, natural-language search and Deep Search, available on Enterprise plans.

Before picking a replacement, work out which of the jobs below you were paying for.

Job 1: exact search across many repositories

This is the classic use. You need to find every caller of a deprecated function, every place a config key is read, every copy of a hardcoded URL. You want regex, boolean operators, filters by repo and path, and results in under a second.

Zoekt

Zoekt is a trigram index (it breaks code into overlapping three-character pieces so substring and regex queries are fast) with a small web server and JSON and gRPC APIs. It is what Sourcegraph and GitLab both use for exact search. It ranks matches higher when they land on a symbol, and it gets better at that if you install Universal ctags.

Zoekt is an engine with very little product around it. There is no code navigation, no permissions sync with your Git host, and the UI is minimal. If you have one platform engineer willing to own it, Zoekt plus a cron job that pulls your repos gets you most of what people actually used Sourcegraph search for.

OpenGrok

OpenGrok is a Java search and cross-reference engine, maintained mostly by the community with help from Oracle engineers. Besides search, it builds cross-reference pages (click a symbol, see where it is defined and used) and understands the history of several version control systems. Releases are still regular; 1.14.19 shipped in September 2026.

It is heavier than Zoekt to run, and its web UI is old. For a team that wants a browsable cross-referenced view of a large C, C++ or Java tree, it is still a solid choice.

Hound

Hound is a small regex search server with a clean web UI, MIT licensed, and very light on memory. It suits a team with a few dozen repos that wants "grep, but in a browser, for everyone". It is not built for thousands of repositories.

GitHub code search

If your code is on github.com, you already have it. It supports regex, boolean operators, qualifiers and symbol: search for definitions. The limits are worth knowing before you rely on it: you must be signed in, only the default branch is searched, files over 350 KiB are skipped, and any one search returns at most 100 results. For "where is this used across our org", that last limit is the one that bites.

GitLab exact code search

GitLab ships its own Zoekt-backed exact code search with exact-match and regex modes. On self-managed GitLab an administrator installs Zoekt and turns it on. It became generally available in GitLab 19.5, on the Premium and Ultimate tiers.

Job 2: context for AI coding agents

If you used Sourcegraph mostly through Cody, the question is what your assistant can see. Look at how the tool picks the right files for a question, and whether it works with the agent you already use, so that nobody has to switch editors.

Augment Context Engine

Augment's Context Engine indexes your code for semantic retrieval, and since February 2026 it is available as an MCP server for any MCP-compatible agent, including Claude Code and Cursor. It runs in a local mode (through their CLI) or a remote mode for cross-repo context. Augment's plans start at $20 a month flat with usage included. It is a hosted product, so check their data handling against your rules. Augment publishes its own benchmark claims for the engine; I have not run them, so I won't repeat them as fact.

Sourcegraph's own MCP server

If you already pay for Sourcegraph Enterprise, you don't need an alternative for this job. Its MCP server gives agents search, file reading, commit and diff search and Deep Search, and it connects to Claude Code with OAuth.

repowise

repowise is the one I build. It indexes a repository into a dependency graph, git history signals (hotspots, which files change together, who owns what), generated documentation and semantic search, and serves all of it to agents over MCP. The open-source version runs on your machine and repowise init writes the MCP config for you; the hosted version gives each repo its own MCP address that also works in Claude.ai, Cursor and VS Code.

On retrieval quality, the honest record is mixed and public. In our own benchmark against CodeGraph, Graphify and code-review-graph, we came last at first (0.228 file coverage against CodeGraph's 0.609), found a query-time bug, fixed it, and then scored 0.876 on a sealed half of the test set we had never tuned against, where CodeGraph scored 0.6095. We are also still the slowest indexer of that group. The full write-up is in we benchmarked ourselves and came last.

Job 3: understanding code you didn't write

This is the job search never really did. A search result tells you where a function lives. It does not tell you what the module is for, who knows it, whether it is a file that breaks every other release, or what will break if you change it.

The tools in Job 1 stop at matches. Some newer tools generate a wiki from the code (DeepWiki is the best known), and those help a new reader, but they mostly describe the current state of the files. The signals that predict trouble come from history: files that change often and are complex (hotspots), files that always change together even though nothing imports one from the other (hidden coupling), and code that only one person has touched in a year.

This is where repowise is strongest, and it is the job I would pick it for, next to a search engine. Every indexed repo gets an architecture view, docs per module, owners, hotspots, dead code, and semantic search that is free on every plan, including no account on public repos. If exact regex search across 2,000 repositories is your main need, repowise is the wrong tool for that job; use Zoekt.

Batch Changes has no direct replacement

Batch Changes is the Sourcegraph feature that finds a pattern across hundreds of repos, opens the pull requests to fix it, and tracks them to merge. Nothing on this list does that out of the box. The closest substitutes are scripted: a search (Zoekt or GitHub) to find the sites, a codemod tool to make the edit, and your Git host's API to open the PRs. If Batch Changes was the reason you bought Sourcegraph, the price may well be worth it.

How to choose

• Mostly exact search, can run a service: Zoekt. Want cross-reference browsing too: OpenGrok.
• Mostly exact search, can't run a service: GitHub or GitLab code search, and live with their limits.
• Mostly Cody: pick the context tool that works with the agent you already use. Augment Context Engine and repowise both speak MCP; repowise also self-hosts.
• Mostly onboarding and risk ("what is this, who owns it, what breaks"): repowise.
• Batch Changes at scale: stay on Sourcegraph.

If you want the repowise side in more depth, there is a direct repowise vs Sourcegraph comparison and a shorter Sourcegraph alternative page. For search tools only, see the best code search tools for engineering teams.

How we checked

Every price, license and status on this page was checked on the vendor's own page or repository on 6 October 2026, and the sources are listed below. We did not run a speed benchmark between Zoekt, OpenGrok and Hound for this post, so I have not ranked them on speed; the descriptions cover what each tool does and say nothing about speed on your hardware. The repowise retrieval numbers come from our own published benchmark on ContextBench, which tests file retrieval for real GitHub issues and does not measure search across many repositories. Prices change, especially for AI products, so check the pricing page before you buy.