“agent memory”

Persist and retrieve repository-specific knowledge using AGENTS.md files.

Use when implementing or managing persistent, hierarchical memory systems for AI agents.

Implement agent memory with episodic, semantic, and procedural memory stores

Design agent memory systems with short-term, long-term, episodic, and semantic memory and retrieval strategies

Use Cognition-spec compliant Git-backed persistent memory to recall, write, and maintain durable cross-session knowledge across Universal and Project scopes.

Design tenant-scoped memory, retrieval and retention for agents.

Use when a plan, prompt, or doc still names agent-shared-memory.

Use this skill when you need evidence-bounded memory write/read/update/delete, retention, contamination, isolation, provenance, and forgetting behavior…

Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards.

Design memory provenance and tenant isolation.

Use when debugging code, tests, builds, deployments, CI failures, runtime errors, framework issues, API migrations, or UI state bugs where a coding Agent…

Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn

Audit the project's persistent agent memories for backfire-risk, stale/superseded state, contradictions, redundancy, and bloat.

Use when a plan finishes or agent memories have piled up.

Decomposes and reorganizes agent memory files into focused, single-purpose components.

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource…

AI agent memory with mathematical foundations.

Comprehensive guide for initializing or reorganizing agent memory into a deeply hierarchical file structure.

Build agent memory patterns that prevent the same mistakes — using session replay, error tracking, and a self-correcting knowledge base.

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or…

Manages agent memory backup, restoration, rollback, and cloning using Fulcra's versioned file storage.

A lean session framework that gives a coding agent memory across sessions.

Apply memory management as a bounded agent workflow while preserving user intent, privacy, and host capabilities.

Add a memory system to an agent — file awareness, knowledge graph, structured state, or multi-session tracking