aletheore/aletheore

Evidence-grounded repository intelligence

Code intelligence that has to show its work. A deterministic scanner reads your repo and writes structured evidence — every downstream feature (AI audit, PR bot, MCP server, dashboard) has to cite that evidence, or it doesn’t get to make the claim.

Install the Aletheore GitHub App — hosted PR review, dashboard, and AIRview docs on top of the same evidence engine. Prefer the free local CLI? Keep reading below.

$ pipx install aletheore
$ aletheore scan .

Scanning /path/to/your/repo...
  → Detecting languages, frameworks, and build tools
  → Building module dependency graph (parsing source with tree-sitter)
  → Analyzing git history and ownership
  → Scanning working tree for secrets
  → Checking dependencies for known vulnerabilities (OSV.dev)
  → Mapping API endpoints
  → Done
✓ Scan complete
  Evidence written to /path/to/your/repo/.aletheore/air.json

No LLM call, no account, no network access beyond the vulnerability/license registry lookups (turn those off too for a fully offline run). That one command gets you a real dependency graph, secrets scan, git-history secret sweep, dependency-vulnerability/license check, and static API endpoint map — for Python, JavaScript/JSX, TypeScript/TSX, Go, Rust, Java, Kotlin, Ruby, PHP, C, C++, C#, and Swift.

Why

• Grounded, not vibes. Every AI-written claim (the audit report, PR review comments, the architecture wiki) is checked against the file:line it cites. A finding that can’t be verified against real evidence gets dropped or flagged, not shipped silently.
• The free tier is actually free. scan, query, diff, the MCP server, and the local dashboard need no account and no API key. Nothing leaves your machine, apart from a crash report if the CLI itself crashes (on by default, one command to turn off; see Crash reporting).
• Bring your own model, or don’t use one at all. audit works with six provider families (Claude, OpenAI, Google, Mistral, xAI, or a local Ollama model) — your key, your cost, your choice — or skip the LLM step entirely and just use the deterministic evidence.
• 1,600+ tests, real CI, and a GitHub Action that dogfoods itself on every PR to this repo.
• Benchmarked, not just claimed. aletheore-benchmarks is the public harness we test review quality against — real open-source PRs, blind LLM judging, and a published methodology, comparing Aletheore’s evidence-grounded context against raw-diff and full-file-context baselines.

What’s actually shipped

• aletheore scan — the deterministic scanner above. Safe to run in CI, on every commit.
• aletheore audit — scans, then has a coding-agent CLI or API provider write a full grounded markdown report, citing exact evidence fields throughout. Meant to be run by hand against your own repo — see src/README.md for why it isn’t wired into CI.
• aletheore query / aletheore diff — answer a targeted question or compare two scans from existing evidence, no re-scan or LLM call needed.
• aletheore mcp — a stdio MCP server exposing 36 tools by default (37 with ALETHEORE_MCP_ALLOW=external enabled) (module/symbol/dependency lookups, ownership, clusters, dead code, hotspots, full-text and semantic search, scan and index triggers) so a coding agent can query your repo’s structure directly instead of shelling out for every lookup; it re-scans in the background as files change unless started with --no-watch. aletheore mcp-install wires it into Claude Code, Cursor, VS Code, Kiro, Opencode, or Codex CLI automatically.
• aletheore tokens — measures how many tokens your coding agent re-reads on every turn and, if you choose, trims the built-in tools a project does not use (reversible, project-scoped, off by default). Every repo-wide, no-target tool (dependency usage, environment variables, error handling, …) caps its result to a size budget by default — a result that already fits is untouched; an over-budget one keeps its shape, says what was left out, and the same tool takes section/offset/limit/filter to page through the rest losslessly.
• aletheore dashboard — a live local web UI: dependency graph, an Obsidian-style cluster graph, trend charts across scan history, and the MCP tool list.
• A GitHub Action (action.yml, on the Marketplace as “Aletheore”) — scans a PR’s base and head refs and posts a diff: new/resolved secrets, dependency vulnerabilities, and layer-convention violations, as a PR comment, inline annotations, and the run’s Step Summary. CI only ever runs scan + diff — fast and deterministic, never the full agent-driven audit.

- uses: Aletheore/[email protected]
  with:
    fail-on-new-secrets: true

Full command reference, MCP tool list, per-language import-resolution details, and configuration options: src/README.md.

Aletheore AIR (hosted GitHub App)

Everything above is the free, local-first CLI (Aletheore Community). Installing the Aletheore GitHub App adds a hosted layer on top of the same evidence — paid plans start at $29.99/mo for up to 3 team members (additional seats $6.99/mo each):

• Automated PR review — Flash reviews and managed audits comment directly on pull requests, scoped to the changed hunks, citing file:line evidence. Blast-radius checks trace a changed symbol to its real callers across the repo (or say plainly when no caller could be confirmed, instead of guessing).
• AIRview — an AI-generated, always-current architecture map of the repo, rebuilt from the same dependency-graph evidence scan produces.
• AI-generated Docs — per-symbol descriptions written straight from real source, drafted as PRs land and backfilled for a repo’s existing public API, always marked as AI-generated rather than presented as hand-written.
• Production monitoring — live endpoint reachability/latency checks mapped back to the source handler that owns the route, with Slack/Teams alerts on state changes.
• Branch-protection checks and team seat management.

The GitHub App and dashboard code lives in github-app/; see its own README for deployment and operations details.

Repository layout

• src/ — the actual, working CLI code (see its README for everything above in detail).
• github-app/ — the hosted GitHub App: FastAPI server, RQ workers, migrations. See Aletheore AIR above for what it does.
• site/ — the marketing site (Next.js).
• docs/superpowers/ — design specs and implementation plans written during development.
• docs/operations/ — current operational baselines: incident response, data handling, SLOs, deployment verification, branch protection, support process.
• SECURITY.md — vulnerability reporting and response targets.

Related, separate repo: aletheore-benchmarks — the public PR-review benchmark harness and published results.

Licensing

Aletheore is licensed under the PolyForm Noncommercial License 1.0.0, not an OSI-approved open-source license. It’s free for individuals: personal use, research, hobby projects, and evaluation. Any use for or within a company or other organization — including internal tooling at a company you work for — is a commercial use and requires a separate commercial license. Reach out at [email protected] for commercial licensing, or see Aletheore AIR for the hosted, paid tier.

If it’s useful to you personally, consider sponsoring development — no accounts, no usage tracking, and nothing leaves your machine when you run it except an optional crash report (see above).