Manage persistent AI agent session logs as structured Obsidian notes.
npx skills add https://github.com/chasemccoy/scripts --skill agent-sessions
Please help me install this Agent Skill. Skill: agent-sessions Source: https://github.com/chasemccoy/scripts/tree/main/skills/agent-sessions Command: npx skills add https://github.com/chasemccoy/scripts --skill agent-sessions
Manage persistent session logs and memories for AI agents. Use when agent needs to save work context, resume from previous sessions, or maintain long-term memory across conversations.
Create a new session note for an agent and begin recording context, progress, and next steps.
High-intent search queries and answers about installing and using this skill.
Session logs use a defined frontmatter schema including agent, session_id, created, updated, status, and task fields. The document structure contains Context, Progress, Notes, and Next steps sections to ensure continuity and auditability.
Resuming an AI agent from a previous session involves reading the persistent session log note, which contains the prior context, progress, and next steps. The agent uses this structured data to continue work exactly where it left off.
Yes, Obsidian frontmatter manages long-term AI agent memory by storing session metadata and progress in structured notes. This enables context continuity and session archiving for future reference and compliance auditing.
The best way to archive completed AI agent sessions is by updating the status field in the session note's frontmatter. This keeps the session log stored in your Obsidian vault for reference and compliance auditing.
Yes, a consistent document structure is required for AI agent session logs. Notes must include Context, Progress, Notes, and Next steps sections to ensure continuity and auditability across sessions.
CodingHeaderCreate and edit Obsidian-flavored Markdown notes with wikilinks, embeds, callouts, and frontmatter.
kyopark2014Stores and retrieves agent memory via Markdown files and semantic search.
family3253Automates vault management and debugging tasks through the command line.
mlopscommunityConfigure tiered persistent memory across global, repository, and external markdown sources.
