{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-anombyte93--atlas-session-lifecycle","slug":"anombyte93--atlas-session-lifecycle","name":"atlas-session-lifecycle","type":"repo","url":"https://github.com/anombyte93/atlas-session-lifecycle","page_url":"https://unfragile.ai/anombyte93--atlas-session-lifecycle","categories":["automation"],"tags":["ai-workflow","claude-code","claude-code-plugin","developer-tools","lifecycle-management","persistent-memory","productivity","project-initialization","session-management","soul-purpose"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-anombyte93--atlas-session-lifecycle__cap_0","uri":"capability://memory.knowledge.persistent.session.state.management","name":"persistent-session-state-management","description":"Maintains continuous session state across Claude Code invocations by serializing and deserializing session metadata (context, conversation history, project state) to a persistent storage backend. Implements a state machine pattern that tracks session lifecycle phases (initialization, active, reconciliation, archival) and enables resumption of interrupted workflows without context loss. Uses file-based or database-backed storage to decouple session data from ephemeral Claude Code runtime.","intents":["Resume a multi-day coding project without losing context or conversation history","Maintain consistent AI agent behavior across multiple Claude Code sessions","Preserve intermediate work state and decision history for audit or replay purposes"],"best_for":["developers building long-running AI-assisted coding workflows","teams using Claude Code as a persistent development assistant","projects requiring session continuity across multiple Claude invocations"],"limitations":["No built-in conflict resolution for concurrent session modifications — requires external locking mechanism","Storage backend must be manually configured; no automatic cloud sync","Session size grows unbounded with conversation history; requires manual pruning or archival","No encryption at rest — sensitive context stored in plaintext unless external encryption applied"],"requires":["Python 3.8+","Claude Code plugin environment","Writable filesystem or database connection for session persistence","Atlas framework or compatible session lifecycle hooks"],"input_types":["session metadata (JSON/dict)","conversation history (text/structured)","project state snapshots (serialized objects)"],"output_types":["session state objects (JSON/dict)","restored context for Claude Code runtime","session lifecycle events (structured logs)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_1","uri":"capability://memory.knowledge.soul.purpose.initialization.and.tracking","name":"soul-purpose-initialization-and-tracking","description":"Establishes and maintains a semantic 'soul purpose' — a structured representation of the project's intent, goals, and guiding principles — that persists across session boundaries. Captures initial project context (user intent, success criteria, constraints) during session initialization and uses this as a reference frame for all subsequent Claude Code decisions. Implements a purpose-tracking mechanism that validates ongoing work against the original intent, enabling drift detection and course correction.","intents":["Define and lock in project goals at the start of a multi-session workflow","Detect when Claude Code is deviating from the original project intent","Provide Claude with a consistent north star for decision-making across sessions"],"best_for":["developers managing complex, multi-session projects with evolving requirements","teams using Claude Code for autonomous or semi-autonomous development tasks","projects where maintaining alignment with original intent is critical"],"limitations":["Soul purpose is static once initialized — no built-in mechanism to evolve intent as requirements change","Drift detection is heuristic-based; no formal verification that work aligns with purpose","Requires manual articulation of project intent; no automatic inference from code or commit history","No conflict resolution when user intent changes mid-project"],"requires":["Python 3.8+","Claude Code plugin environment","Initial user input defining project intent and success criteria"],"input_types":["natural language project description","success criteria (text or structured)","constraints and assumptions (text)"],"output_types":["soul purpose object (structured metadata)","drift detection reports (text/JSON)","purpose-aligned recommendations (text)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_2","uri":"capability://planning.reasoning.session.reconciliation.and.conflict.resolution","name":"session-reconciliation-and-conflict-resolution","description":"Implements a reconciliation phase that runs between session boundaries to detect, surface, and resolve conflicts between accumulated session state, user intent, and external project changes. Uses a three-way merge pattern (original soul purpose, accumulated session state, current project state) to identify divergences and generate reconciliation reports. Provides structured conflict metadata (type, severity, resolution options) to guide user decision-making without forcing automatic resolution.","intents":["Identify conflicts between Claude Code's work and manual changes made outside the session","Detect when accumulated session decisions conflict with the original project intent","Generate a reconciliation report that surfaces issues before resuming work"],"best_for":["teams where Claude Code and human developers work on the same codebase","projects with strict intent alignment requirements","workflows where session state must be validated before resumption"],"limitations":["Three-way merge is heuristic-based; complex semantic conflicts may not be detected","Reconciliation is advisory only — no automatic conflict resolution","Requires external version control integration to detect manual changes","Performance degrades with large session histories or complex project states"],"requires":["Python 3.8+","Claude Code plugin environment","Initialized session with soul purpose and prior state","Optional: Git integration for detecting external changes"],"input_types":["prior session state (JSON/dict)","current project state (code/files)","soul purpose reference (structured metadata)"],"output_types":["reconciliation report (JSON/text)","conflict list with metadata (structured)","resolution recommendations (text)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_3","uri":"capability://memory.knowledge.session.harvest.and.knowledge.extraction","name":"session-harvest-and-knowledge-extraction","description":"Extracts structured knowledge artifacts from completed or paused sessions, including decision logs, learned patterns, code patterns, and lessons learned. Implements an automated harvest phase that analyzes session conversation history and code changes to identify reusable insights, anti-patterns, and decision rationale. Stores harvested knowledge in a queryable format (embeddings, structured metadata) for retrieval in future sessions or projects.","intents":["Capture decision rationale and lessons learned from a session for future reference","Extract reusable code patterns and architectural insights discovered during development","Build a knowledge base of project-specific patterns that Claude Code can reference in future sessions"],"best_for":["teams building multiple related projects where knowledge transfer is valuable","long-running projects where capturing lessons learned is critical","organizations wanting to build institutional knowledge from Claude Code sessions"],"limitations":["Knowledge extraction is heuristic-based; may miss subtle insights or over-extract noise","No built-in deduplication — harvested knowledge may contain redundant entries","Requires manual curation to ensure harvested knowledge is accurate and actionable","No automatic linking between harvested knowledge and future sessions"],"requires":["Python 3.8+","Claude Code plugin environment","Completed or paused session with conversation history and code changes","Optional: embedding model for knowledge indexing"],"input_types":["session conversation history (text)","code changes and diffs (text/structured)","session metadata (JSON/dict)"],"output_types":["knowledge artifacts (JSON/structured)","decision logs (text/structured)","pattern summaries (text)","embeddings for semantic search (vectors)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_4","uri":"capability://automation.workflow.session.archival.and.historical.indexing","name":"session-archival-and-historical-indexing","description":"Implements a structured archival phase that compresses, indexes, and stores completed sessions for long-term retention and historical analysis. Uses a hierarchical storage strategy (hot/warm/cold tiers) to optimize retrieval latency and storage costs based on access patterns. Provides full-text and semantic search over archived sessions, enabling historical analysis, pattern discovery across multiple sessions, and audit trails.","intents":["Archive completed sessions for compliance, audit, or historical reference","Search across multiple archived sessions to find similar problems or patterns","Analyze trends in Claude Code decision-making across a project's lifetime"],"best_for":["enterprises requiring audit trails and compliance documentation","teams managing long-running projects with many sessions","organizations wanting to analyze patterns across multiple Claude Code sessions"],"limitations":["Archival is one-way — archived sessions cannot be directly resumed","Search performance degrades with large archive sizes; requires external indexing infrastructure","No built-in retention policies — requires manual cleanup or external lifecycle management","Semantic search requires embedding model; adds latency and cost"],"requires":["Python 3.8+","Claude Code plugin environment","Storage backend (filesystem, S3, database) for archived sessions","Optional: search index (Elasticsearch, Milvus) for semantic search"],"input_types":["completed session state (JSON/dict)","harvested knowledge artifacts (structured)","session metadata (JSON/dict)"],"output_types":["archived session records (compressed/indexed)","search results (JSON/structured)","historical analysis reports (text/JSON)"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_5","uri":"capability://tool.use.integration.claude.code.plugin.integration.and.lifecycle.hooks","name":"claude-code-plugin-integration-and-lifecycle-hooks","description":"Provides a plugin interface for Claude Code that hooks into the session lifecycle at key phases (initialization, reconciliation, harvest, archival). Implements a callback-based architecture where lifecycle events trigger registered handlers, enabling extensibility without modifying core session logic. Handles Claude Code API integration, context injection, and response interception to transparently manage session state within the Claude Code runtime.","intents":["Extend session lifecycle management with custom logic (e.g., Slack notifications, database updates)","Inject session context into Claude Code prompts to enable context-aware responses","Intercept and validate Claude Code outputs before they affect the project"],"best_for":["developers building custom Claude Code workflows","teams integrating session management with external tools (Slack, Jira, databases)","organizations needing fine-grained control over Claude Code behavior"],"limitations":["Plugin interface is Claude Code-specific; not portable to other LLM platforms","Callback execution is synchronous; long-running handlers block session progression","No built-in error handling for plugin failures; requires external monitoring","Plugin API is undocumented or subject to change with Claude Code updates"],"requires":["Python 3.8+","Claude Code plugin environment","Claude Code API access and authentication","Understanding of Claude Code plugin architecture"],"input_types":["lifecycle events (structured metadata)","session state (JSON/dict)","Claude Code context (text/structured)"],"output_types":["modified session state (JSON/dict)","injected context for Claude Code (text)","validation results (boolean/structured)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_6","uri":"capability://memory.knowledge.context.injection.and.prompt.augmentation","name":"context-injection-and-prompt-augmentation","description":"Automatically injects session context (soul purpose, prior decisions, harvested knowledge) into Claude Code prompts to provide semantic grounding for responses. Implements a context-aware prompt augmentation system that selects relevant context based on the current task, avoiding context bloat while ensuring critical information is available. Uses embeddings or semantic similarity to rank context relevance and truncate to token budgets.","intents":["Provide Claude Code with relevant session history without overwhelming the context window","Ensure Claude Code decisions are aligned with the original project intent","Enable Claude Code to reference prior decisions and learned patterns"],"best_for":["projects where maintaining context across sessions is critical","teams using Claude Code for complex, multi-step workflows","scenarios where Claude Code needs to reference prior decisions"],"limitations":["Context selection is heuristic-based; may miss relevant context or include irrelevant context","Embedding-based ranking adds latency (~100-500ms per prompt)","Token budget constraints may force truncation of important context","No explicit conflict handling if injected context contradicts current task"],"requires":["Python 3.8+","Claude Code plugin environment","Session state with soul purpose and prior decisions","Optional: embedding model for semantic similarity ranking"],"input_types":["current task/prompt (text)","session context (JSON/dict)","soul purpose (structured metadata)"],"output_types":["augmented prompt (text)","context metadata (JSON/structured)","relevance scores (numeric)"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_7","uri":"capability://automation.workflow.session.state.versioning.and.rollback","name":"session-state-versioning-and-rollback","description":"Maintains a version history of session state snapshots, enabling rollback to prior states if decisions prove problematic or if the user wants to explore alternative paths. Implements a branching model where sessions can fork into alternative timelines, each with independent state evolution. Provides diff/comparison tools to understand what changed between versions and decision logs explaining why changes were made.","intents":["Rollback to a prior session state if Claude Code makes a problematic decision","Explore alternative development paths without losing the current session state","Understand what changed between session versions and why"],"best_for":["experimental workflows where exploring alternatives is valuable","projects where mistakes are costly and rollback is critical","teams wanting to understand decision history and alternatives"],"limitations":["Version history grows unbounded; requires manual pruning or automatic retention policies","Branching creates multiple timelines; reconciliation becomes complex with many branches","Rollback is manual; no automatic detection of problematic decisions","Storage overhead increases linearly with number of versions"],"requires":["Python 3.8+","Claude Code plugin environment","Persistent storage for version history","Optional: Git-like backend for efficient diff storage"],"input_types":["session state (JSON/dict)","version metadata (timestamp, description)","decision logs (text/structured)"],"output_types":["version history (structured list)","state diffs (text/structured)","branched session states (JSON/dict)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_8","uri":"capability://memory.knowledge.multi.session.project.continuity.and.context.carryover","name":"multi-session-project-continuity-and-context-carryover","description":"Enables seamless continuation of projects across multiple Claude Code sessions by automatically loading and restoring prior session state, soul purpose, and learned patterns. Implements a session chain mechanism where each new session inherits context from prior sessions, with explicit handoff points where the user can review and approve context carryover. Detects when a new session is related to a prior project and automatically loads relevant context.","intents":["Resume a multi-day project without manually re-establishing context","Ensure Claude Code understands the project's history and prior decisions","Automatically load relevant patterns and lessons learned from prior sessions"],"best_for":["developers working on long-running projects spanning multiple sessions","teams using Claude Code as a persistent development assistant","projects where context continuity is critical for productivity"],"limitations":["Context carryover is automatic; may include stale or irrelevant information","No built-in mechanism to detect when a new session is unrelated to prior work","Session chain can become unwieldy with many prior sessions; requires pruning","Handoff approval is manual; adds friction to session resumption"],"requires":["Python 3.8+","Claude Code plugin environment","Persistent storage for prior session state","Project identifier or naming convention to link related sessions"],"input_types":["new session initialization (text/metadata)","prior session state (JSON/dict)","project identifier (string)"],"output_types":["loaded context (JSON/dict)","session chain metadata (structured)","context carryover approval prompt (text)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-anombyte93--atlas-session-lifecycle__cap_9","uri":"capability://memory.knowledge.decision.logging.and.rationale.capture","name":"decision-logging-and-rationale-capture","description":"Automatically captures Claude Code's decision-making process, including the reasoning behind code changes, architectural choices, and trade-offs considered. Implements a structured logging system that records not just what Claude Code did, but why it made those decisions, enabling future sessions to understand and learn from prior choices. Stores decision logs in a queryable format (JSON/embeddings) for retrieval and analysis.","intents":["Understand why Claude Code made a particular architectural or code decision","Learn from prior decisions to avoid repeating mistakes in future sessions","Audit Claude Code's decision-making process for compliance or learning purposes"],"best_for":["teams wanting to understand and learn from Claude Code's decisions","projects requiring audit trails of AI-assisted development","organizations building institutional knowledge from Claude Code sessions"],"limitations":["Decision rationale is inferred from Claude Code responses; may be incomplete or inaccurate","Logging adds overhead to session execution; requires careful performance tuning","No built-in mechanism to validate that logged rationale matches actual implementation","Requires manual curation to ensure logged decisions are accurate and actionable"],"requires":["Python 3.8+","Claude Code plugin environment","Session state and conversation history","Optional: embedding model for semantic indexing of decisions"],"input_types":["Claude Code responses (text)","code changes and diffs (text/structured)","session context (JSON/dict)"],"output_types":["decision logs (JSON/structured)","rationale summaries (text)","decision embeddings (vectors)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":34,"verified":false,"data_access_risk":"high","permissions":["Python 3.8+","Claude Code plugin environment","Writable filesystem or database connection for session persistence","Atlas framework or compatible session lifecycle hooks","Initial user input defining project intent and success criteria","Initialized session with soul purpose and prior state","Optional: Git integration for detecting external changes","Completed or paused session with conversation history and code changes","Optional: embedding model for knowledge indexing","Storage backend (filesystem, S3, database) for archived sessions"],"failure_modes":["No built-in conflict resolution for concurrent session modifications — requires external locking mechanism","Storage backend must be manually configured; no automatic cloud sync","Session size grows unbounded with conversation history; requires manual pruning or archival","No encryption at rest — sensitive context stored in plaintext unless external encryption applied","Soul purpose is static once initialized — no built-in mechanism to evolve intent as requirements change","Drift detection is heuristic-based; no formal verification that work aligns with purpose","Requires manual articulation of project intent; no automatic inference from code or commit history","No conflict resolution when user intent changes mid-project","Three-way merge is heuristic-based; complex semantic conflicts may not be detected","Reconciliation is advisory only — no automatic conflict resolution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1712366617360965,"quality":0.45,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:59:55.150Z","last_commit":"2026-04-26T05:51:54Z"},"community":{"stars":86,"forks":9,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=anombyte93--atlas-session-lifecycle","compare_url":"https://unfragile.ai/compare?artifact=anombyte93--atlas-session-lifecycle"}},"signature":"3A30dBNiii2Sk9E2wzG3xf7O1wEO6t5aEu3Y6AH3Jg4CIWYtOKVK9go/7kKV1DexGBE4sTCDsZ6SclyhW7HoCg==","signedAt":"2026-06-22T10:40:42.757Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/anombyte93--atlas-session-lifecycle","artifact":"https://unfragile.ai/anombyte93--atlas-session-lifecycle","verify":"https://unfragile.ai/api/v1/verify?slug=anombyte93--atlas-session-lifecycle","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"}}