Git source history
Bare mirror, branches, tags, pull-request refs, commits, trees, blobs, object inventory, fsck output, verified Git bundle, and optional Git LFS objects.
Current product · KodeAtlas CLI v0.2.0
The current product is a production-oriented, read-only archival CLI that preserves Git source history and GitHub collaboration history together, with provenance, completeness, and integrity.
kodeatlas initkodeatlas exportkodeatlas updatekodeatlas verifykodeatlas inspectEvidence collected today
The archive keeps raw source evidence alongside stable normalized records so future normalization, local browsing, transcript correlation, and static generation do not have to trust one lossy export.
Bare mirror, branches, tags, pull-request refs, commits, trees, blobs, object inventory, fsck output, verified Git bundle, and optional Git LFS objects.
PR metadata, comments, reviews, review comments, review threads, checks, statuses, local/API reconciliation, patches, changed files, timelines, and attachments.
Issues, comments, events, labels, milestones, reactions, cross-reference evidence, state reasons, and attachments.
Release metadata, notes, tag/commit relationships, uploaded assets, hashes, and release-note attachments.
Raw REST and GraphQL responses, request metadata, pagination, API versions, response hashes, source pointers, and rate-limit headers.
Entity, commit, activity, relationship, and attachment NDJSON indexes.
SHA-256 manifests, Git-bundle verification, referential-integrity checks, explicit partial states, warnings, statistics, and immutable run receipts.
Efficiency model
KodeAtlas uses the local Git object graph for commit history, pull-request commit ranges, changed-file inventories, and patches whenever the required objects are available. GitHub APIs are reserved for collaboration metadata and fallback reconciliation.
This avoids treating capped provider endpoints as complete history and reduces unnecessary API consumption.
Resumability
What the archive is not yet
KodeAtlas CLI v0.2.0 does not yet track functions or classes through refactorings, import Codex or Cursor transcripts, connect backlog work to semantic anchors, infer regression relationships, coordinate agents, or serve live MCP context.
Those are explicitly later phases. The archive becomes their source-evidence layer rather than being discarded or reimplemented.
See what comes nextTake the next step
The archive foundation can stand alone while later intelligence layers are evaluated progressively.