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Uses a filesystem traversal approach to recursively capture all files and directories, enabling agents to preserve project state before risky operations and restore to known-good states.","intents":["Capture project state before AI agent performs large-scale refactoring or code generation","Create labeled checkpoints at logical points in development workflow (e.g., before running tests, before deploying)","Enable quick rollback to previous project state if agent-generated changes introduce bugs or break functionality"],"best_for":["Developers using AI agents for code generation who want safety nets between iterations","Teams with large codebases where manual undo is time-consuming","Rapid prototyping scenarios where multiple experimental branches are tested in parallel"],"limitations":["Snapshot creation time scales linearly with project size — large monorepos (>10GB) may add noticeable latency to agent operations","No incremental/differential snapshots — each backup is a full copy, consuming disk space proportional to project size","No built-in garbage collection or retention policies — old snapshots must be manually pruned","Symlinks and special files may not be handled correctly depending on implementation"],"requires":["Sufficient disk space for at least 2-3 full project copies","Read permissions on all files in project directory","Write permissions on backup destination directory","No file locks preventing concurrent reads during snapshot"],"input_types":["project root directory path (string)","optional snapshot label/description (string)","optional exclusion patterns (glob or regex)"],"output_types":["snapshot manifest with file list and hashes","snapshot metadata (timestamp, size, label)","snapshot ID for later retrieval"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-backup__cap_2","uri":"capability://automation.workflow.backup.restoration.and.rollback.to.previous.snapshots","name":"backup restoration and rollback to previous snapshots","description":"Provides agents with the ability to restore project state from previously captured snapshots by comparing snapshot manifests and selectively restoring files that differ from current state. Implements a restore operation that validates snapshot integrity (via file hashes) before overwriting current files, preventing data corruption from incomplete or corrupted backups.","intents":["Revert project to a known-good state after agent-generated code introduces bugs or breaks tests","Restore specific files or directories from a backup without affecting other project changes","Compare current state against a backup snapshot to identify what changed since the snapshot was created"],"best_for":["Agents performing experimental code generation that may need rollback","Development workflows where multiple backup snapshots are created and selective restoration is needed","Teams that want audit trails of what changed between agent operations"],"limitations":["Restore operation is blocking — agent cannot perform other operations while restore is in progress","No atomic transactions — if restore is interrupted, project state may be partially restored","Cannot restore individual files without restoring entire snapshot — no granular file-level recovery","Hash validation adds overhead proportional to number of files being restored"],"requires":["Valid snapshot ID or timestamp identifying the target backup","Write permissions on all files being restored","Sufficient disk space for temporary files during restore operation","Snapshot manifest and file integrity (no corrupted backup data)"],"input_types":["snapshot ID or timestamp (string)","optional file/directory filter to restore only specific paths (glob pattern)","restore destination path (string, defaults to original project root)"],"output_types":["restoration status (success/failure)","list of files restored with before/after hashes","restoration summary (files changed, bytes restored)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-backup__cap_3","uri":"capability://data.processing.analysis.backup.metadata.and.history.tracking","name":"backup metadata and history tracking","description":"Maintains a queryable index of all created backups with metadata including creation timestamp, optional user-provided labels, file count, total size, and file hash manifest. Allows agents to list available backups, search by label or date range, and retrieve detailed information about what changed between snapshots without requiring full file comparison.","intents":["Query available backups to find a specific snapshot by label or approximate date","Understand what files changed between two snapshots to inform rollback decisions","Generate audit logs showing when backups were created and by which agent operations"],"best_for":["Long-running agent sessions where multiple backups accumulate and need to be searched","Teams that need audit trails of agent-assisted development for compliance or debugging","Agents that need to make intelligent decisions about which backup to restore based on metadata"],"limitations":["Metadata index must be kept in sync with actual backup files — orphaned backups or missing metadata can cause inconsistencies","No full-text search of file contents within backups — only filename and metadata are indexed","Metadata storage adds overhead (typically <1% of backup size, but scales with number of backups)","No automatic cleanup of stale metadata — manual intervention required to remove entries for deleted backups"],"requires":["Persistent storage for metadata index (JSON file, SQLite database, or similar)","Read permissions on backup directory to validate metadata consistency","Optional: structured logging system if audit trail generation is needed"],"input_types":["query parameters (label filter, date range, file pattern)","snapshot ID for detailed metadata retrieval"],"output_types":["list of backup metadata objects with timestamp, label, size, file count","detailed snapshot manifest with per-file hashes and paths","diff summary showing files added/modified/deleted between snapshots"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-backup__cap_4","uri":"capability://automation.workflow.exclusion.pattern.configuration.for.selective.backup","name":"exclusion pattern configuration for selective backup","description":"Allows configuration of glob or regex patterns to exclude files and directories from backup snapshots (e.g., node_modules, .git, build artifacts, temporary files). Patterns are evaluated during snapshot creation to skip excluded paths, reducing backup size and creation time while preserving only essential project files.","intents":["Reduce backup size by excluding large dependency directories (node_modules, venv, etc.) that can be regenerated","Avoid backing up version control metadata (.git, .svn) that is already versioned elsewhere","Exclude temporary build artifacts and cache files that don't need to be preserved"],"best_for":["Projects with large dependency trees or build artifacts that inflate backup size","Teams that want to minimize backup storage costs while preserving source code","Agents operating on projects with many temporary or generated files"],"limitations":["Exclusion patterns must be manually configured — no automatic detection of excludable directories","Pattern matching adds overhead to snapshot creation (typically <5% for simple patterns, more for complex regex)","Excluded files cannot be restored from backup — if excluded files are accidentally deleted, they must be regenerated","Pattern syntax varies (glob vs regex) — inconsistent syntax across different backup tools can cause confusion"],"requires":["Configuration file or API parameter specifying exclusion patterns","Pattern syntax documentation (glob or regex format)","Optional: .backupignore file in project root (similar to .gitignore)"],"input_types":["exclusion patterns as array of strings (glob or regex format)","optional configuration file path (.backupignore or similar)"],"output_types":["confirmation of applied exclusion patterns","snapshot statistics showing files included/excluded and size reduction"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-backup__cap_5","uri":"capability://automation.workflow.backup.compression.and.storage.optimization","name":"backup compression and storage optimization","description":"Optionally compresses backup snapshots using gzip, bzip2, or zstd compression algorithms to reduce storage footprint. Compression is applied at snapshot creation time and transparently decompressed during restoration, with configurable compression levels to balance speed vs compression ratio.","intents":["Reduce backup storage requirements for large projects by 50-80% through compression","Enable more frequent backups within fixed storage budgets","Speed up backup transfers if backups are stored on remote systems or cloud storage"],"best_for":["Projects with large text-heavy codebases (compression ratio typically 5-10x for source code)","Storage-constrained environments where backup size directly impacts costs","Agents that create frequent backups and need to minimize disk I/O overhead"],"limitations":["Compression adds CPU overhead to backup creation (typically 10-30% slower depending on compression level)","Decompression adds latency to restore operations (typically 5-15% slower than uncompressed restore)","Compressed backups cannot be partially restored — entire snapshot must be decompressed first","Compression ratio varies by file type — binary files (images, compiled code) compress poorly"],"requires":["Compression library (gzip, bzip2, or zstd) available on system","Configuration parameter specifying compression algorithm and level","Sufficient CPU resources for compression during backup creation"],"input_types":["compression algorithm selection (gzip, bzip2, zstd)","compression level (1-9 or algorithm-specific range)","optional: list of file extensions to exclude from compression (e.g., .jpg, .png)"],"output_types":["compressed snapshot file with metadata","compression statistics (original size, compressed size, compression ratio, time taken)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible AI coding agent (Windsurf, Cursor, Claude Coder, or custom agent with MCP support)","Node.js 16+ or Python 3.8+ (depending on server implementation)","Local filesystem write permissions for backup destination directory","Network connectivity between agent and MCP server (localhost or network-accessible)","Sufficient disk space for at least 2-3 full project copies","Read permissions on all files in project directory","Write permissions on backup destination directory","No file locks preventing concurrent reads during snapshot","Valid snapshot ID or timestamp identifying the target backup","Write permissions on all files being restored"],"failure_modes":["Requires MCP server to be running as a separate process — adds deployment complexity vs built-in backup features","No built-in deduplication or compression — backup storage grows linearly with project size and backup frequency","Limited to local filesystem backups — no cloud storage integration or remote backup targets","Backup granularity is project-level only — cannot selectively backup individual files or directories","Snapshot creation time scales linearly with project size — large monorepos (>10GB) may add noticeable latency to agent operations","No incremental/differential snapshots — each backup is a full copy, consuming disk space proportional to project size","No built-in garbage collection or retention policies — old snapshots must be manually pruned","Symlinks and special files may not be handled correctly depending on implementation","Restore operation is blocking — agent cannot perform other operations while restore is in progress","No atomic transactions — if restore is interrupted, project state may be partially restored","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=backup","compare_url":"https://unfragile.ai/compare?artifact=backup"}},"signature":"WTZ8z63bzeqZCF92kc1fWNljFYLiUtmWjGLLHvbapJOr81wlzYyhd8iLDQ+bkDeAWj6umGoMVgi+2tiEaajdDQ==","signedAt":"2026-06-20T03:55:44.258Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/backup","artifact":"https://unfragile.ai/backup","verify":"https://unfragile.ai/api/v1/verify?slug=backup","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}