penguiflow-memory

penguiflow-memory is an Agent frameworks & building agents skill for AI agents, published by hurtener in the penguiflow repository on GitHub. Skillspace rates penguiflow-memory C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Add short-term conversation memory to a PenguiFlow ReactPlanner — configure `ShortTermMemoryConfig` with strategy (`none`/`truncation`/`rolling_summary`), `MemoryBudget` token caps + overflow policy, `MemoryIsolation` for multi-tenant fail-closed scoping via `MemoryKey(tenant_id, user_id, session_id)`, optionally persist via `StateStore.save_memory_state`/`load_memory_state`, wire `on_turn_added`/`on_summary_updated`/`on_health_changed` hooks, and tune `summarizer_model`/`include_trajectory_digest`. Use when a user says "add memory", "session memory", "conversation memory", "multi-tenant memory", "rolling summary", or names `ShortTermMemoryConfig`, `MemoryKey`, `MemoryIsolation`.

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
26

Unproven: rated by static analysis only, not yet compared head-to-head.

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Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
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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