Code search across repositories
Search code across large and fragmented codebases with literal, keyword, regex, and symbol search, plus commit and diff search for code history.
Sourcegraphとは？
Sourcegraph is a code understanding platform for enterprise engineering teams. Its public site presents the product as a way to give humans and AI agents complete context for understanding, overseeing, and evolving large codebases.
The product combines code search, code navigation, Deep Search, code insights, monitoring, batch changes, and MCP-based agent access. The overall focus is on helping teams work across many repositories, trace changes over time, and keep large systems understandable as they grow.
Sourcegraphでできること
Code navigation and symbol lookup
Jump to definitions, references, and symbols with browser-based code navigation powered by semantic indexing and search fallbacks when precise index data is unavailable.
Deep Search with citations
Ask natural-language questions and get grounded answers with citations, plus visibility into the repositories, searches, files, commits, and diffs used.
Batch changes at scale
Roll out changes across many repositories with batch changes, supporting large-scale refactors, vulnerability fixes, and coordinated updates.
Code insights and monitoring
Track migrations, adoption, and risk over time with code insights and monitoring, including alerts through channels such as Slack, PagerDuty, Email, Jira, and Webhook.
Agent and tool integrations
Expose code intelligence to agents through MCP, APIs, and CLI access, with support for tools such as Claude Code, Cursor, Amp, and Codex.
利用シーン
“Locate code and follow change history”
Search across many repositories to find exact matches, understand where code is used, and inspect changes by commit or diff when investigating a question.
“Research a codebase with Deep Search”
Ask a complex question in natural language and review grounded answers with citations, along with the files, commits, searches, and diffs that informed the result.
“Navigate large codebases”
Use the browser-based navigation, symbol search, and cross-repository resolution to move through unfamiliar systems without relying on local IDE context alone.
“Coordinate large-scale changes”
Roll out a refactor or vulnerability fix across many repositories with batch changes, then use monitoring and insights to watch for downstream impact.
“Give agents broader code context”
Connect AI coding tools and agents to Sourcegraph’s code intelligence through MCP so they can retrieve better context while working on enterprise codebases.
よくある質問
What is Sourcegraph used for?
Sourcegraph’s public pages describe it as a code understanding platform for enterprise teams. It indexes repositories, supports code search and navigation, and adds tools such as Deep Search, batch changes, code insights, monitoring, and an MCP server for AI agents.
How is Sourcegraph priced?
The pricing page lists an Enterprise plan starting at $16K and says it includes credits for AI features, with contact-sales pricing and volume pricing available. The site also references a demo and plans information, but does not show a free tier in the provided source.
How can Sourcegraph be deployed?
The site highlights Single-tenant cloud and Self-hosted deployment options, along with enterprise admin and security controls. It also mentions SSO, SCIM, and RBAC on the home page.
Does Sourcegraph connect to AI coding tools?
The MCP page says Sourcegraph MCP works with MCP-compatible agents and environments, and names Claude Code, Cursor, Amp, and Codex. The pricing page also says MCP Server, API, and CLI access are included.
Who is Sourcegraph for?
The source describes Sourcegraph as useful for software engineers, engineering managers, security, infrastructure, devops, design, product, customer support, customer success, and account executives. The common theme is needing grounded context from large, changing codebases.
クイック情報
- Category
- Developer Tool
- Primary users
- Enterprise engineering teams
- Deployment
- Single-tenant cloud; self-hosted
- Core workflows
- Code search, code navigation, Deep Search, batch changes, code insights, monitoring
- Agent connectivity
- MCP Server, API, CLI
- Website
- sourcegraph.com
Sourcegraph のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- ドメイン評価
- 80
Sourcegraphの代替品
Orca
onorca.dev
Orcaはコーディングエージェントで開発を進めるためのエージェント開発環境です。分離されたworktreeで複数のCLIエージェントを並列実行し、デスクトップとモバイルの連携ワークフローに対応します。
blop
blopai.com
ブラウザテストを作成・実行・分類・修正するQAエージェント
RLAMA
rlama.dev
RAGシステムとAIエージェントを構築するローカルAIプラットフォーム
Kastra
kastra.ai
Kastraは、プロンプト、ツール呼び出し、シェルコマンド、APIリクエスト、ブラウザ操作を実行前に検査する、AIシステム向けの認可インフラです。ポリシー適用、署名付き監査証跡の保持、ローカルおよびエンタープライズAIワークフローのガバナンスを支援します。
AakarDev AI
aakar-ai.dev
AIプロバイダー、プロジェクト設定、ログ、分析を1つのダッシュボードで管理。BYOK対応。
Termo
termo.ai
Termoは各エージェントが専用VMで動く、調査・自動化・開発向けAIエージェント基盤です。