DeepSeek Harness: Everything is a Plugin.
- cordis
- dsh
- dsh-plugin
- ai-agents
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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. Share work, exchange feedback, and iterate together in one workspace.
- ai-design
- byok
- design-systems
- claude-design
Your lightweight open-source personal agent.
The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
Integrate cutting-edge LLM technology quickly and easily into your apps
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
open-source agentic AI data assistant for the next generation of AI + Data products.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
- agi
- ai
- autonomous-agents
- python
TranslatedFay is an agent framework that helps digital humans (2.5D, 3D, mobile, PC, web) or large language models (OpenAI-compatible, DeepSeek) connect to business systems.
Superduper: End-to-end framework for building custom AI applications and agents.
- ai
- mlops
- torch
- transformers
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
- a2a
- agent-framework
- llm
- python
A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
- classifiers
- decision-models
- evals
- llm-harness