paperclipai/paperclip
Node.js server and React dashboard that runs teams of AI agents as a virtual company, connecting them to outside tools through governed remote MCP connectors.
Awesome MCP › Agent Orchestration Platforms
rocketride-org/rocketride-server
RocketRide describes itself as an "AIDE" (AI Development Environment) that turns an existing code editor into a place to compose, debug, observe and deploy AI pipelines without vendor lock-in. A VS Code extension provides a visual, drag-and-connect canvas for building pipelines from more than 100 nodes spanning 15-plus LLM providers, nine vector databases, OCR, named-entity recognition, PII anonymization, chunking strategies and embedding models; every pipeline is stored as portable, version-controllable JSON. Pipelines execute on a multithreaded C++ runtime built for the throughput demands of production AI and data workloads, with real-time observability into token usage, LLM calls, latency and execution steps. Python and TypeScript SDKs let developers embed a pipeline in an existing application with a few lines of code, and built-in CrewAI and LangChain support enables multi-agent workflows that share memory across runs. RocketRide auto-detects coding agents such as Claude and Cursor, and ships an MCP server (documented under docs.rocketride.org/connect/mcp/http) so external AI clients can build, modify and run pipelines through natural language instead of the visual editor. The project is MIT-licensed and can run entirely on local infrastructure or Docker, with an optional managed RocketRide Cloud for teams that want the engine operated for them. It targets developers building retrieval, multimodal search or agentic AI features who want a production-grade pipeline runtime reachable both from their IDE and from MCP-based coding agents.
https://github.com/rocketride-org/rocketride-server
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deepset-ai/haystack
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activepieces/activepieces
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openai/swarm
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