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Run AI agents through OpenAI-compatible APIs with memory and multi-step workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agents-mcp" yet — see the docs or source repo.
Create a customer support agent with the system prompt: "You are a professional SaaS support agent. Keep answers concise and prioritize step-by-step instructions." Use a GPT-4 compatible model, enable persistent memory, and answer: "How do I reset a team member's password?"
Returns the agent's support response and preserves memory settings for future conversations.
Configure a three-step pipeline agent: first research "AI workplace trends in 2025," then summarize them into 5 key points, and finally draft a Chinese blog post for a product website in a professional but accessible tone.
Outputs step-by-step results, including research notes, key points, and a blog draft.
Use a swarm with a researcher agent and a writer agent: the researcher analyzes "the main barriers to AI customer support adoption for SMBs," then the writer produces a 300-word Chinese summary highlighting business value and implementation advice.
Returns the collaborative analysis results and a concise summary from the agent swarm.
Run a fully local multi-agent AI system with predefined workflows via MCP.
Run persistent agent teams and durable workflows with memory, schedules, and goals.
Manage persistent agent memories across global or repository-specific scopes.
Manage CustomGPT agents, conversations, and content through MCP using natural language.
Give AI agents persistent memory with semantic search and automatic memory management.
Coordinate specialized AI agents for software development, review, testing, and task tracking.