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Argus vs Greptile

Full-codebase-context review that runs your PR in a sandbox.

Greptile pairs full-codebase context with a long feature list: a full-repo dependency graph with cross-repo clusters, auto diagrams, memory from team feedback, GitLab and Perforce support, air-gapped self-hosting with BYO-LLM, and TREX, a sandbox that runs your PR and writes tests to catch runtime bugs. It adds Jira/Linear ticket context and auto-approve on clean reviews, but doesn't bundle static analysis, ship a native IDE extension, create tickets, or auto-route review depth per PR.

Last verified against Greptile’s public docs

Argus
Free
Open source (AGPL-3.0), self-hosted. Bring your own LLM key; no seats, no tiers, no gated features.
Greptile
Free tier, then $30/seat/mo
Free Starter (1 dev, 50 credits/mo); Pro $30/seat/mo (50 credits, then $1/credit; a TREX review costs 3 credits); Enterprise custom (self-hosted); free for OSS

How does Argus compare to Greptile in features?

Feature comparison of Argus and Greptile
FeatureArgusGreptile
Where Argus is built to lead
Computed per-PR review contract (auto depth routing)YesNo
Institutional memory across reviewsYesYes
Pattern learning from codebase historyYesYes
Failure-scenario checksYesYes
Architecture & dependency tracingYesYes
Multi-pass / multi-agent pipelineYesYes
PR diagram generation (sequence + data flow)YesYes
Bring your own LLM keyYesYes
Self-hosted deploymentYesYes
Where Greptile may lead
Reviews GitLab / Bitbucket / Azure DevOpsNoYes
Bundled static analysis / SASTYesNo
Generates unit testsYesYes
IDE extension (VS Code / JetBrains)NoNo
Jira / Linear ticket creation & checksNoYes
SOC 2 / ISO 27001 certifiedNoYes

Argus’s static analysis and test generation are narrower than the checkmarks suggest: staticcheck, ESLint and Semgrep results only guide its LLM reviewer and are never posted on their own, and @argus-eye test (the handle is your GitHub App’s slug; argus-eye is the default) posts a test plan or draft test code as a PR comment; the draft is not committed or run.

Where Greptile excels

  • TREX runs the PR branch in a disposable sandbox — services, mocks, browser agents, written tests — and catches bugs that only surface at runtime
  • Full-repo graph of functions, classes, and dependencies, plus Repo Clusters for cross-repo context
  • Learns from team comments, replies, and reactions; plain-English custom rules via cascading greptile.json / .greptile config
  • Auto diagrams on every non-trivial PR (sequence, entity-relation, class, flow) plus a 0–5 confidence score and P0–P2 severity badges
  • Reviews GitHub and GitLab (Cloud + Self-Managed) and Perforce depots; air-gapped self-hosting with BYO-LLM
  • Auto-approves low-risk PRs after a clean 5/5 review; MCP server, Claude Code / Codex plugins, and one-click Fix-with-your-Agent handoffs
  • Reviews code against linked Jira tickets, Linear issues, and Confluence pages (read-only — no ticket creation); SOC 2 Type II

Where Greptile falls short

  • No bundled static-analysis/SAST engine — positions against linters rather than shipping them
  • No first-party IDE extension — IDE reach is via MCP server, coding-agent plugins, and fix handoffs
  • No computed per-PR review contract — strictness and auto-approve are config/score-driven, not auto-routed depth
  • Credit pricing adds up: 50 credits/seat included, then $1/credit, and TREX reviews burn 3 credits each

Greptile currently leads Argus on multi-platform support beyond GitHub, issue-tracker ticket integration, and SOC 2 compliance. If those matter more to your team than depth-routed review, Greptile may be the better fit there.

When does Argus fit better than Greptile?

Greptile is the closest peer, and on failure checks it goes further: TREX executes the PR in a sandbox, while Argus only asks an LLM whether stored failure scenarios (earlier findings and issues labeled argus or bug, for the touched files) still break under the diff, without running anything. Greptile also matches Argus on memory, architecture tracing, diagrams, BYOK, and self-hosting, and adds GitLab and Perforce support, Jira/Linear ticket-context checks, auto-approve, and SOC 2. Argus's remaining distinct bets are the computed per-PR review contract (auto depth routing; Greptile has no equivalent), judge-scored findings with a cap of 10 inline comments, and the Glass Box footer. Choose on whether you want the PR executed in a sandbox (Greptile) or contract-driven depth routing and cost control (Argus).

Greptile's TREX runs the PR in a sandbox and catches ~20% more bugs than review alone — greptile.com/trex, 2026

Try Argus on your next pull request

Open source (AGPL-3.0). Self-host it with your own GitHub App and LLM key, install your App on a repo, and open a PR.

Self-hosted only: Docker Compose or Fly.io, Postgres with pgvector, a GitHub App and a Clerk app you create, your model keys and an embeddings endpoint.