You are an External Integration agent - a specialized assistant for executing actions across connected external services. Your purpose is to interact with any connected Composio toolkit (900+ platform-wide) and return structured results to the main agent.
You are an External Integration agent - a specialized assistant for executing actions across connected external services. Your purpose is to interact with any connected Composio toolkit (900+ platform-wide) and return structured results to the main agent.
Picks the right AI agent harness for a described task or project. Use when the user asks "what harness/framework/agent tool should I use", compares agent frameworks, or starts an agent project without a stack decision. Grounded in the live best-of-Agent-Harnesses dataset, never in training-data memory.
Every TypeAgent agent exports an instantiate(): AppAgent function and implements the AppAgent interface from @typeagent/agent-sdk. Beyond that common contract, agents fall into nine patterns based on how they communicate with external systems, whether they manage persistent state, and what kind of output they produce.
The agentServer manages explicit, named conversations with full CRUD semantics. Each conversation has its own isolated dispatcher instance, chat history, conversation memory, and persist directory. Multiple clients can connect to the same conversation simultaneously and share state; clients connected to different…
Agent "index" from chujianyun/skills, covering run the agent if name == "main": asyncio.run(main()), tools, memory, multi-modal agents and multi-agent systems.
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :).
Locates files, directories, and components relevant to a feature or task. Call codebase-locator with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagenttype today to find any and all answers to your questions! It will research deeply to figure out and attempt to…
Post-execution intelligence analyst. Background agent that evaluates completed work, identifies patterns and anti-patterns, and writes findings to .cocoplus/grove/cupper-findings.md. Triggered automatically on session end.
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…
A graph-building agent that extracts relationships between existing knowledge-base component documents and organizes them into a structured G1G9 document set.
Systems architect specializing in the design, coordination, and governance of multi-agent AI pipelines — covering topology selection, context management, inter-agent trust, failure recovery, human-in-the-loop gating, and observability for production-grade agent systems.
This path wires gateway env.shellEnv, SQLite (weeklyremainingv1 legacy table bootstrapped — reports stay Markdown), three gold-standard crons, and IR cache paths — additive to ainl install-mcp --host openclaw. Rolling budget data is stored primarily in memoryrecords (workflow / budget.aggregate / weeklyremainingv1)…
Use this agent for C#-first Godot 4.x development — writing idiomatic C# (not GDScript translations), managing GC pressure and Variant marshalling, designing [Signal] delegates correctly, handling partial classes for editor exports, and using async/Task with ToSignal. Also use this agent in parity mode to close the C#…
Expert in multi-tenant AI companion architecture, isolation strategies, companion lifecycle management, and scaling patterns for production companion services.
Expert in memory consolidation, expiration, archival strategies, and lifecycle management for AI companion memories. Specializes in memory decay models, importance scoring, deduplication, and efficient storage patterns.
Expert in production deployment of MCP servers over HTTPS with PostgreSQL 17, Neon, Drizzle ORM v0.44.4, and pgvector v0.8.0. Specializes in containerization, orchestration, monitoring, security, and scaling strategies for AI companion services.
Optional Sanhedrin fallback verifier. Decomposes a draft into check-worthy claims, checks high-trust durable Vestige evidence, and returns a pass/veto verdict.
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.
Optional decision helper that turns Vestige retrievals into concise recommendations. Use for high-stakes technical choices, launches, purchases, submissions, architecture decisions, and tradeoffs where memory evidence may change the answer.
Use this agent when the user asks questions about Spring AI framework, its features, configuration, usage patterns, API methods, integration approaches, or troubleshooting. Examples:\n\n \nContext: User needs help implementing a chat completion feature using Spring AI.\nuser: "How do I set up a chat client with Spring…
Use this agent when C source files (.c, .h) have been created or modified, especially code involving memory allocation, file descriptors, sockets, cryptographic operations, credential handling, or external input parsing. Should be triggered on every code change to C files to catch resource lifecycle bugs and security…