“Slack”

Interact with Slack workspaces using browser automation.

Use when you need to control Slack from Bitterbot via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.

Use when you need to control Slack from OpenClaw via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.

Slack MCP server: channels, messages, threads, reactions, users, files, and scheduled messages

MCP server for Slack — read/write messages, manage threads, and react to messages.

Read and write Slack with session tokens — no OAuth, no bot, no admin approval.

Small assistant that runs each agent in its own Linux container and connects to Slack, Telegram, WhatsApp and other chat apps

Anthropic's coding agent that reads your codebase, edits files and runs commands from the terminal, IDE, desktop app, web and Slack

Open-source company intelligence agent that looks up live sources such as the web, Slack and Drive and keeps its own wiki and CRM.

Python and TypeScript SDK that lets an agent message people on email, Slack, Discord, Telegram and other channels through one handler.

Open-source SDK that connects AI agents to app front ends with chat UI, generative UI, shared state and human approvals; creator of the AG-UI protocol.

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

LangChain's no-code platform for creating agents from chat or templates, with tool-level approvals, remote MCP servers and use in Slack, Teams and Gmail

AI assistant that works across connected tools, Slack, iMessage and email, using credits, routines and approvals before outside actions

No-code builder for AI agents with knowledge sources, tools, multi-agent orchestration, approvals and deployment to Slack, Teams or an API

Platform for stateful agents that learn from experience and keep their memory across sessions.

Continuously fresh context for AI agents, with only changed data reprocessed.

Hosted platform to deploy, observe and manage AI agents built with the open-source Mastra framework.

Open-source workspace where teams build AI agents by chatting and run them in Slack, WhatsApp or Telegram

Open-source, MIT-licensed platform for observing production AI agents and turning failures into tracked signals

Continuous-improvement stack for agents: monitor behavior, detect failures and validate fixes

Subagent "ai-backend-expert" from metabase/metabase: Metabase backend expert for Metabot, LLM provider adapters, agent tools, the Agent API, the MCP server…

Subagent "notifications-backend-expert" from metabase/metabase: Metabase backend expert for alerts, dashboard subscriptions, the notification and pulse…