Active Memory
Official@activememory · United States of America
Experimental systems and tooling focused on active context management, long-running reasoning, and stateful developer workflows.
Agent Skills by Active Memory
Showing 29 vetted skills indexed across 1 GitHub repositories.
ActiveMemoryctx-reflect
Summarize session progress and extract learnings, decisions, tasks, and notes for persistence.
ActiveMemoryctx-journal-normalize
Normalize journal markdown to repair fences, metadata, and nested lists.
ActiveMemoryctx-blog-changelog
Summarize commit ranges into themed blog posts with frontmatter.
ActiveMemoryctx-next
Analyze TASKS.md and recent sessions to recommend 1-3 next actions.
ActiveMemoryctx-remember
Recall project context and present a structured readback across sessions.
ActiveMemoryctx-add-decision
Record architectural decisions in DECISIONS.md with context, alternatives, rationale, and consequences.
ActiveMemoryctx-agent
Load the full project context packet at session start.
ActiveMemoryctx-context-monitor
Evaluate context capacity and generate replies at checkpoint signals.
ActiveMemoryctx-blog
Generate blog post drafts from git commits, decisions, and journals.
ActiveMemoryctx-prompt-audit
Analyze recent sessions to detect vague prompts and generate a coaching report.
ActiveMemoryctx-add-task
Record session follow-up tasks into TASKS.md using ctx add task.
ActiveMemoryctx-archive
Archive completed tasks from TASKS.md to dated files under .context/archive.
ActiveMemoryctx-recall
List, show, and export AI session history from Claude Code JSONL sources.
ActiveMemoryctx-status
Parse context metadata and output a machine-readable project summary.
ActiveMemoryctx-journal-enrich
Enrich journal entries with YAML frontmatter and structured metadata.
ActiveMemoryctx-add-learning
Record structured learnings with context, lesson, and application in LEARNINGS.md.
ActiveMemoryctx-loop
Generates an autonomous loop script to orchestrate iterative AI tasks.
ActiveMemoryctx-implement
Coordinates plan-driven, multi-step tasks with stepwise verification and validation.
ActiveMemoryctx-save
Save session context snapshots to .context/sessions with enriched markdown reports.
ActiveMemoryctx-commit
Attach contextual decisions and learnings to code changes during commits.
ActiveMemoryupdate-docs
Detect discrepancies between public documentation and internal code conventions.
ActiveMemorybrainstorm
Transform vague ideas into validated designs through structured dialogue.
ActiveMemoryverify
Run required tests, linting, and builds to verify completion claims.
ActiveMemoryconsolidate
Consolidate the ctx codebase to fix code-level drift and enforce project conventions.
Frequently Asked Questions About Active Memory
FAQPage SchemaWhat specific tasks can Active Memory perform for developers?▼
Active Memory enables automated tracking of architectural decisions, persistent session recall, markdown journal enrichment, and the generation of release notes from commit history. It ensures project context remains consistent across sessions by managing task lists, learning logs, and documentation synchronization.
Which personas benefit most from these capabilities?▼
Software engineers, technical leads, and documentation maintainers benefit from these capabilities. It is designed for developers managing complex, long-running projects who require rigorous state tracking, consistent documentation standards, and reliable history of design decisions and project learnings.
What are the prerequisites for implementing these capabilities?▼
Implementation requires a project structure utilizing markdown-based tracking files such as TASKS.md, DECISIONS.md, and LEARNINGS.md. Users must maintain a git-based repository and have access to session history logs, specifically those formatted as JSONL, to enable full context recall and audit functionality.