VS SOURCEGRAPH

The open-source Sourcegraph alternative.

An intelligence layer that gives AI agents real codebase context through nine MCP tools, plus a defect-validated code-health score, an auto-generated wiki, git intelligence, and architectural decisions, all open source, self-hostable, and priced for teams.

9
MCP tools so AI agents get real codebase context
96%
fewer context-load tokens in paired benchmarks, at parity quality
AGPL
open source, self-hostable, every heuristic public
0.74
cross-project ROC AUC for the defect-validated health score
THE PROBLEM

Sourcegraph proved that code search and navigation at scale matter. The open question is whether you want that as a closed, enterprise-priced search platform, or as an open layer that also documents, explains, scores, and feeds your AI agents.

repowise indexes your codebase into five intelligence layers, graph, git, docs, decisions, and code health, then exposes them to AI agents through nine MCP tools. It is open source, self-hostable with one pip install, and priced per repo and per seat rather than enterprise-only, while staying honest that Sourcegraph's SCIP navigation and multi-repo search scale are genuinely ahead.

THE SHORT VERSION

Which one is right for you?

Choose repowise if

  • You want an intelligence layer that is open source and self-hostable, with every heuristic inspectable
  • You want AI agents to get architecture, risk, decisions, and a health score, not just search results
  • You want a defect-validated code-health score you can reproduce on your own repo
  • You want an auto-generated wiki, architectural decisions, and git intelligence in one tool
  • You prefer per-repo and per-seat pricing over an enterprise-only model

Choose Sourcegraph if

  • You need compiler-grade, exact code navigation via SCIP across many repositories
  • You need code search across millions of files and very large monorepos at enterprise scale
  • You want years of enterprise hardening, plus Batch Changes for large-scale code edits
  • You want a dedicated, mature code-search product as the primary surface
SIDE BY SIDE

repowise vs Sourcegraph

CapabilityrepowiseSourcegraph
Code search across the codebase
Precise SCIP-based code navigationSourcegraph: compiler-grade, exact; repowise: tree-sitter graph + hybrid retrieval
Enterprise-scale multi-repo search (millions of files)Sourcegraph leads at very large scale; repowise supports multi-repo workspaces
MCP context for AI agentsrepowise: 9 task-shaped tools over 5 layers; Sourcegraph: ~13 search-focused tools
Open source and self-hostable
Deterministic, defect-validated code-health score
Auto-generated wiki and documentation
Architectural decision records
Git intelligence (hotspots, ownership, coupling, bus factor)
AI code provenance (agent attribution)
Dead code detection
Large-scale automated code changesSourcegraph Batch Changes
Priced for teams (per repo / per seat)Sourcegraph is enterprise-positioned as of June 2026

Self-assessed against publicly documented features as of June 2026. A dash means partial or limited support. Vendor capabilities change, so please verify against Sourcegraph's current docs before deciding.

WHY TEAMS SWITCH

Search is the start, not the whole story.

The understanding Sourcegraph made popular, plus the context, health, and decision layers it was never built to provide, all open and self-hostable.

AGENT-NATIVE CONTEXT

Nine MCP tools backed by five intelligence layers

Both tools speak MCP, but the answers differ by what backs them. Sourcegraph's MCP returns search results. repowise's nine task-shaped tools return architecture, ownership, modification risk, decision rationale, and a health score, so your agents stop re-reading the same files and answer from a real model of your code.

  • Up to 96 percent fewer context-load tokens, at parity answer quality
  • 89 percent fewer file reads and up to 70 percent fewer tool calls
  • get_overview, get_answer, get_context, get_risk, get_why, and more
  • Works with Claude Code, Cursor, Cline, Codex, and Windsurf
ONE LAYER, NOT JUST SEARCH

Health, docs, decisions, and git intelligence together

Sourcegraph is a code-search and navigation platform. repowise puts a defect-validated health score alongside an auto-generated wiki, architectural decision archaeology, git intelligence, agent provenance, and dead-code detection, so the same index serves your understanding, your quality goals, and your AI agents.

  • Defect-validated code health: cross-project ROC AUC 0.74, up to 0.90 per repo
  • Auto-generated wiki, rebuilt on every commit
  • Architectural decisions mined from eight sources
  • Hotspots, ownership, hidden coupling, and bus factor
OPEN AND PRICED FOR TEAMS

Free to self-host, no enterprise-only gate

repowise is free and open source to self-host under AGPL-3.0, with hosted tiers priced per repo and per seat. As of June 2026, Sourcegraph is commercial and enterprise-positioned, having moved upmarket and discontinued its free and pro Cody tiers in 2025.

  • Self-host the full platform at no cost with one pip install
  • Bring your own LLM key or run fully offline via Ollama
  • Zero telemetry, code never leaves your infrastructure
  • Commercial license available when you need it
WHERE SOURCEGRAPH IS STRONGER

The honest version

Sourcegraph is a mature, respected platform, and there are real places it leads today. Its SCIP-based code navigation is compiler-grade and exact: precise go-to-definition and find-references that hold up across repositories, which repowise's tree-sitter graph and hybrid retrieval (full-text plus vector) do not match for cross-repo symbol precision. Sourcegraph's code search scales to millions of files and very large monorepos with years of enterprise hardening behind it, and Batch Changes lets teams make and track large-scale code edits across many repositories. If exact navigation and search at enterprise scale are your priority, Sourcegraph is a strong choice. repowise wins when you want openness, self-hosting, a full context layer with a defect-validated health score, and agent-native MCP access, at team-friendly pricing.

FREQUENTLY ASKED

Questions, answered

Is repowise a good Sourcegraph alternative?

Yes, if you want an open, self-hostable intelligence layer that gives AI agents real codebase context, and you do not need Sourcegraph's enterprise-scale code search. repowise indexes your code into five intelligence layers (graph, git, docs, decisions, and code health) and exposes them to Claude Code, Cursor, Cline, Codex, and Windsurf through nine MCP tools. Sourcegraph remains the better fit if your priority is compiler-grade code navigation and search across millions of files and many repositories at enterprise scale.

Is repowise open source and self-hostable? Sourcegraph is not.

Yes. The repowise core is open source under AGPL-3.0, so every biomarker, scoring rule, and heuristic is public and inspectable, and you can self-host the whole platform with one pip install at no cost. As of June 2026, Sourcegraph's platform is commercial and was historically source-available rather than open source, and it discontinued the free and pro Cody tiers in 2025 while it moved upmarket toward enterprise.

Is repowise cheaper than Sourcegraph?

For most teams, yes. repowise is free and self-hostable under AGPL-3.0, and the hosted tiers are priced per repo and per seat. As of June 2026, Sourcegraph is positioned for enterprise; pricing is reportedly around 59 dollars per user per month on annual contracts, which we list as approximate. Always verify the current figure against Sourcegraph's own pricing before deciding.

Does repowise have precise code navigation like Sourcegraph?

Not as precise. This is where Sourcegraph leads. Its SCIP-based navigation gives compiler-grade, exact go-to-definition and find-references across repositories. repowise resolves symbols through a tree-sitter dependency graph with three-tier call resolution and answers questions through hybrid retrieval (full-text plus vector via RRF), which is excellent for agent context and understanding but does not match SCIP's exactness for cross-repo symbol navigation.

Does repowise give AI agents context via MCP?

Yes, and so does Sourcegraph. Both ship an MCP server. The difference is what backs it: repowise exposes nine task-shaped tools (get_overview, get_answer, get_context, get_risk, get_why, and more) over five intelligence layers, so agents get architecture, ownership, risk, decisions, and a defect-validated health score, not just search results. In paired benchmarks this cut context-load tokens by up to 96 percent and tool calls by up to 70 percent at parity answer quality.

What does repowise add that Sourcegraph lacks?

A defect-validated code-health score (cross-project ROC AUC 0.74, 2.3x more defects caught under a fixed review budget than a leading commercial tool), an auto-generated wiki rebuilt on every commit, architectural decision records mined from eight sources, git intelligence (hotspots, ownership, hidden coupling, bus factor), agent provenance, and dead-code detection, all open source and self-hostable. Sourcegraph focuses on code search and navigation and ships none of these.

Open, agent-native codebase intelligence, and a lot more.