soul.md
Gives AI agents consistent personality and behavioral patterns by ingesting your data and documentation.
Builds a 'soul file' — a set of markdown files (SOUL.md, STYLE.md, example outputs) that capture your voice, worldview, and writing style so AI agents can write as you. Feed it your tweets, essays, and posts, or let the /soul-builder command interview you from scratch. Output is plain markdown any agent that reads files can load; designed for Claude Code and OpenClaw.
- Customer support agent adopts company tone and policy knowledge
- Internal assistant mimics team communication style and priorities
- Sales agent reflects brand voice in client interactions
Gives AI agents consistent personality and behavioral patterns by ingesting your data and documentation. Reduces prompt engineering overhead and ensures agents reflect your brand voice or operational norms.
Teams building internal AI agents or chatbots that need to maintain consistent tone, style, and decision-making logic across conversations.
https://github.com/aaronjmars/soul.md
By aaronjmars
How to Get It
git clone https://github.com/aaronjmars/soul.md — then run /soul-builder (interview or data-ingest mode) or copy SOUL.template.md / STYLE.template.md and fill them in
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me customer support agent adopts company tone and policy knowledge
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- What does your SOUL.md actually look like? Curious how people are shaping their — Reddit · 79 pts
- How I Finally Understood soul.md, user.md, and memory.md in Agent Setups — Reddit · 70 pts
- I organized 177 SOUL.md templates into 24 categories - all free and open source — Reddit · 64 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 511 GitHub stars; contributors unknown; last commit 8d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 511 GitHub stars; contributors unknown; last commit 8d ago; license MIT.