Soul Archive — Personality Persistence + Agentic Memory
Turn everyday AI chats into a persistent digital persona with cross-session memory.
$5
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsSoul Archive — Personality Persistence + Agentic Memory
Example session with this skill installed
soul extract from our last conversation about the React migration and my preference for functional components over classes.
- Read your context and instructions
- Compiled the soul archive
I have analyzed the conversation and updated your soul archive. I identified new patterns regarding your technical preferences and project context.
Soul Archive Update: React Migration
| Dimension | Category | Data Point | Confidence |
|---|---|---|---|
| Workflow | Tech Stack | Prefers React Functional Components (Hooks) over Class Components. | 0.95 |
| Workflow | Hard Rule | Rejects new Class Component implementations in the current migration. | 0.90 |
| Knowledge | Project Context | Currently managing a large-scale migration from legacy React to v18+. | 0.88 |
| Language | Technical Style | Uses precise architectural terminology; avoids boilerplate descriptions. | 0.82 |
Next steps
- Run
python3 scripts/soul.py contextto see how this affects your next session's initialization. - View the updated visual profile using
python3 scripts/soul.py report. - The
recurrence_countfor functional component preference has been incremented inworkflow/preferences.json.
Connects securely to your tools. The creator never sees your data.
About this skill
Soul Archive builds your digital soul clone through everyday AI conversations. It captures speech habits, knowledge, opinions, personality traits, workflow preferences, and episodic memories — then injects a compact persona summary (under 800 tokens) at the start of each session for cross-session recall, failure-pattern warnings, and behavior-pattern distillation. At conversation end it auto-sedimentates new insights (auto_extract defaults ON). All data stays local as plaintext JSON — never uploaded to any cloud, with fine-grained privacy switches. Requires Python 3.10+.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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Requires
Jsdelivr
Python