Search the team knowledge base (skills + learnings + docs + rules + codebase graph) and return a compact, structured summary with docids — instead of dumping full knowledge content into the main conversation. Invoke when the task may benefit from team knowledge context — skip when the user already provided context…
Before touching any code, use pensieve-wand to retrieve the project's accumulated knowledge, architectural decisions, and known pitfalls to avoid repeating past mistakes. As Linus said — understand the system first, then modify it. Examples: User: 'Convert this callback to async' Assistant: 'Let me have pensieve-wand…
Subconscious subagent that surfaces cross-disciplinary structural parallels from the Vestige memory graph. Invoked by the preflight-swarm.sh UserPromptSubmit hook (Pre-Cognitive Triad v2.3 "Thalamus"). Fresh context, Haiku 4.5, Vestige MCP tool access. Outputs a single XML block or EMPTY.
Scoped sub-agent for openclaw-embedded Flow C. Extracts profiles and playbooks from a transcript, then runs shallow pairwise dedup against existing .reflexio/ entries.
The single top-level entry point for ALL tasks in openwebui-extensions. Covers the complete project lifecycle: new plugin scaffolding, feature development, testing, documentation, release, issue triage & reply, community announcements, and self-learning. Routes to the right agents and skills in parallel or…
Expert in iterative knowledge extraction from extremely long chat logs. It processes contexts.md in chunks (approx. 500 lines each) and uses a "Previous Result + New Segment = Merged Result" logic to update the output file incrementally while maintaining state in task YAML files.
Advises on scope, roles, compliance, and GDPR use in SuperLocalMemory. Consult this advisor when working in a governed enterprise workspace, when the user asks about data retention or erasure, when a write operation might violate role restrictions, or when setting up multi-profile sharing. Never bypasses governance…
Maintains ClawMem memory health — lifecycle triage (pin/snooze/forget), retrieval health checks, dedup sweeps, graph rebuilds, index hygiene. Use when "curate memory", "memory maintenance", "run curator", or after long productive sessions.
Use this agent for vault organization and maintenance — auditing folder structure, cleaning up frontmatter, finding orphan notes, and suggesting reorganization.
Audits your memory directory for orphans, phantom references, index drift, broken wiki-links, stale entries, and near-duplicates. Writes a dated health report. Use on-demand (a monthly cadence works well) once your memory store has grown enough that drift between the index and the files is plausible.
The GML Specialist is the hands-on GML coding authority. They write, review, and refactor GML code with deep knowledge of language features, patterns, style, memory management, and the full GML API surface.
Use when answering a question needs a wide read across someone's Lanes Link context — searching their memory, tasks, files, mail, and issues for the same thing and reporting back what is there. Good for "have I discussed X anywhere", "find everything about this client", "what do we already know about Y". Not for…
Compresses the project memory hot layer when it grows too large. Reads MEMORY.md and schema.yaml, archives older entries into archive.md, and rewrites MEMORY.md keeping only recent high-value entries. Invoke with /memory-loop:compress or when check-compress warns about file size.
A manually triggered agent that cleans long-term memory files for a project or user. It combines duplicates, fixes damaged entries, replaces outdated or conflicting information, and reports broken links.
Context capture and knowledge structuring specialist. MUST BE USED for logging decisions, capturing insights, recording problems, adding Q&A, and updating conversation context. Use PROACTIVELY when important information should be remembered.
Mine high-signal transcript deltas, update local continual-learning-memory.json, and keep the incremental transcript index in sync. Never write Learned sections to root AGENTS.md.
Background decisions maintenance agent — claims the pending learning queue, captures decisions and pitfalls from the claimed turns, and maintains the decisions ledger through the learning ops. Spawned by the session-start directive when the queue is non-empty.
Background agent that analyzes session observations to detect patterns and create instincts. Uses Haiku for cost-efficiency. v2.1 adds project-scoped instincts.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: