Skill Memory
Agent memory stored as skills — filesystem-compatible, configurable, and human-readable
Your agents build memory as plain markdown skill files you can read, edit, version control, and mount in sandboxes. No opaque embeddings. No vendor lock-in.
Three Advantages
Skill memory gives you properties no other agent memory system offers.
Filesystem-Compatible
Skills are real files on disk. Mount them in sandboxes, sync across environments, version control with Git, and inspect with cat and grep.
Configurable
Each SKILL.md defines the schema, purpose, and organization rules. You control how your agent stores memory — not the platform.
Human-Friendly
Plain markdown files your team can read, edit, review, and audit directly. No embeddings decoder needed — just open the file.
How It Compares
See how skill memory stacks up against other approaches to AI agent memory.
| Skill Memory (Acontext) | Vector Store | Knowledge Graph | Plain-text Files | |
|---|---|---|---|---|
| Storage format | Markdown files | Embeddings | Nodes & edges | Text files |
| Human-readable | ||||
| Configurable schema | Complex upfront | |||
| Filesystem-native | ||||
| Version controllable |
How It Works
From completed tasks to reusable skill files — fully automatic.
# Daily Logs > description: Records daily activities and decisions > naming: YYYY-MM-DD.md > retention: 30 days ## Guidelines - One entry per significant event - Include outcomes and decisions - Reference related tasks by ID
## Deployed v2.1 to staging - Fixed auth timeout bug (issue #342) - Updated rate limit config to 1000 req/min - User confirmed the fix resolves their issue ## Reviewed PR #89 - Approved with minor suggestions - Performance improvement: 40% faster queries