Memory Manager

@marmikcfc

Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.

Agents

@ivangdavila

Designs, debugs, evaluates, and hardens AI agents — the loop, tools, memory, context budget, cost, and escalation — independent of any framework. Use when an agent loops forever, repeats a tool call, drifts from its instructions after many turns, invents tool arguments, stops mid-task, or swallows a tool error silently; when deciding single agent versus several, or which framework to build on; when token cost per task or p95 latency has to come down; when designing tool schemas, retries, timeouts, checkpoints, or human approval; when writing an eval set or a regression suite for agent behavior; when prompt injection, tool abuse, or an over-permissioned action is the risk; and when specifying an agent's purpose, escalation rules, and cost ceiling for a team. Covers memory design, multi-agent handoffs, tracing, and rollout. Not for LangChain APIs (`langchain`), retrieval pipelines (`rag`), prompt craft alone (`prompting`), or agent persona and voice (`agent`).

Memory Hygiene

@dylanbaker24

Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.

Context Optimizer

@ad2546

Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware relevance scoring, and hierarchical memory system with context archive. Logs optimization events to chat.

Self-Improving + Proactive Agent

@ivangdavila

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

memory

@ivangdavila

Remembers, recalls, and organizes durable facts in a categorized markdown store at ~/Clawic/data/memory/, parallel to built-in agent memory. Use when the user says remember this, save this, note that for later, or don't forget; when they ask what did I tell you about X, when did we decide Y, or who is Z; when a stored fact is wrong, outdated, or contradicts what they just said; when they want something forgotten or deleted; when recall misses, returns stale facts, or slows down as the store grows; when duplicate or conflicting entries appear; when consolidating scattered notes, importing an existing vault, or sharing memory across devices and agents. Not for session-scoped context the runtime already holds, note-taking apps (notes), journaling practice (journal), or study techniques like spaced repetition (learn, active-recall).