10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Persistent semantic memory for AI agents — local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install dannydvm/engram-memoryInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Local semantic memory with biological decay, typed memories, and relationship graphs. No API keys. No cloud.
engram search "<current task or context>" --limit 10
Always recall before working. Accessed memories get salience-boosted.
engram add "Client uses React with TypeScript" --type fact --tags react,client
engram add "We decided to pause ads" --type decision --tags ads
echo "Raw conversation text" | engram ingest
Types: fact, decision, preference, event, relationship
engram search "what tech stack"
engram search "pricing decisions" --type decision
engram search "client status" --agent client-agent
engram relate <src> <tgt> --type supports
engram auto-relate <id>
engram relations <id>
Types: related_to, supports, contradicts, caused_by, supersedes, part_of, references
engram stats
engram recall --limit 10
engram export > backup.json
engram import backup.json
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Engram — Agent Memory Local semantic memory with biological decay, typed memories, and relationship graphs. No API keys. No cloud. ## Boot Sequence ```bash engram search "<current task or context>" --limit 10 ``` Always recall before working. Accessed memories get salience-boosted. ## Storing ```bash engram add "Client uses React with TypeScript" --type fact --tags react,client engram add "We decided to pause ads" --type decision --tags ads echo "Raw conversation text" | engram ingest ``` Types: fact, decision, preference, event, relationship ## Searching ```bash engram search "what tech stack" engram search "pricing decisions" --type decision engram search "client status" --agent client-agent ``` ## Relationships ```bash engram relate <src> <tgt> --type supports engram auto-relate <id> engram relations <id> ``` Types: related_to, supports, contradicts, caused_by, supersedes, part_of, references ## Key Concepts - **Decay**: Unused memories lose salience daily. Recalled ones get boosted. - **Types**: Filter by fact, decision, preference, event, relationship. - **Scoping**: global, agent, private, shared. - **Dedup**: >92% similarity auto-merges. ## Quick Reference ```bash engram stats engram recall --limit 10 engram export > backup.json engram import backup.json ```
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.