atomicmemory
atomicmemory is a Memory stores & recall skill for AI agents, published by atomicstrata in the atomicmemory repository on GitHub. Skillspace rates atomicmemory D (62/100) and it passed the safety scan; the rating is based on static analysis only.
AtomicMemory persistent memory integration for Codex. Retrieve relevant memories at the start of each task, store key learnings when tasks complete, and capture session state before context is lost. Use the atomicmemory MCP tools (memory_search, memory_ingest, memory_package, memory_list) for all memory operations — scoped by user / agent / namespace / thread.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 443
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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