@rohitg00

write-agentmemory-skill defines the canonical format and governance rules for agentmemory skills, ensuring consistency, scannability, and maintainability across the cross-vendor skill graph.

iii-agentic-backend coordinates multi-agent pipelines using named queues, shared state, and approval gates. agents register as functions, hand work via async queues, and broadcast completion events through pubsub.

recall retrieves past observations and learnings from agent memory using hybrid search, surfacing high-signal results grouped by session without fabrication or invention.

iii-reactive-backend provides event-driven primitives for real-time state management and client streaming on the iii engine. covers state crud, automatic change triggers, and websocket broadcast patterns with a reference todo app.

recap retrieves and groups recent agent sessions by date, extracting high-importance observations. execution depends on memory service availability with mcp-first fallback to http.

agentmemory-config covers environment setup, feature flags, api key injection, and auth via ~/.agentmemory/.env file. operates in zero-llm mode by default and requires server restart after config changes.

remember persists user insights and decisions to long-term storage with concept tagging for retrieval, accepting freeform content plus optional file references.

agentmemory-mcp-tools provides a reference catalog of memory system operations grouped by function (capture, retrieve, sessions, governance) without actionable guidance on when to use each tool or how its parameters relate to user intent.

k8s-browser wraps playwright-style automation for kubernetes web interfaces. covers dashboard, grafana, and argocd ui navigation via selectors and waits, but lacks intent clarity and failure handling.

commit-history retrieves recent git commits associated with agent sessions, with optional filtering by branch and repository. outputs formatted commit metadata linked to session ids.

forget removes selected observations from agentmemory via search-then-delete workflow. requires explicit user confirmation before deletion and logs reason for audit trail.

How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or…

The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without…

The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable…

How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are…

Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume",…

Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent…

Show what happened in recent past sessions on this project as a clean timeline. Use when the user asks "what did we do last time", "session history", "past…

Registers functions and triggers on the iii engine across TypeScript, Python, and Rust. Use when creating workers, registering function handlers, binding tri...

Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations.

Kubernetes backup and restore with Velero. Use when creating backups, restoring applications, managing disaster recovery, or migrating workloads between clusters.

Manage multiple Kubernetes clusters, switch contexts, and perform cross-cluster operations. Use when working with multiple clusters, comparing environments, or managing cluster lifecycle.