Showing 29 open source projects for "teams"

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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  • 1
    Agent Control

    Agent Control

    Centralized agent control plane for governing runtime agent behavior

    ...The repository includes SDKs, a server, telemetry components, examples, and integrations for common agent frameworks. It is especially useful for teams building customer-facing, internal, or enterprise agents that need scalable runtime guardrails.
    Downloads: 28 This Week
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  • 2
    Future AGI

    Future AGI

    Open-source platform for evaluating, observing, and improving LLM

    Future AGI is an open-source, end-to-end platform for evaluating, observing, protecting, and improving AI agent applications. It is built for teams that need more than basic tracing, combining evaluations, simulations, datasets, guardrails, gateway routing, and optimization in one feedback loop. The platform helps developers detect hallucinations, measure agent quality, monitor production behavior, and use evaluation results to improve prompts or workflows over time. It supports both cloud and self-hosted deployment models, making it useful for teams with different privacy, infrastructure, and compliance needs. ...
    Downloads: 7 This Week
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  • 3
    Agent Skills

    Agent Skills

    Specification and documentation for Agent Skills

    ...This repo serves as the canonical reference for how skills should be structured, what metadata they should include, and how an SDK can load and apply them consistently. It also includes supporting materials like guides and examples so builders can create skills that are predictable, testable, and shareable with teams.
    Downloads: 6 This Week
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  • 4
    ASSERT

    ASSERT

    Requirement-driven evaluation harness for AI agents and LLM

    ...It can evaluate hosted models, custom agents, multi-agent systems, REST clients, and frameworks such as LangGraph, CrewAI, AutoGen, DSPy, LlamaIndex, and OpenAI Agents SDK. ASSERT is designed to close the gap between what a system is supposed to do and what evaluation actually measures. It is useful for responsible AI teams, product teams, and developers who need traceable, spec-aligned testing.
    Downloads: 2 This Week
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 5
    MemClaw

    MemClaw

    Persistent memory for AI agent fleets (OSS)

    ...Its architecture goes beyond a simple vector database by adding rules about who can store, retrieve, and share each memory. caura-memclaw is best suited for teams building AI agents that need long-term memory, controlled sharing, compliance awareness, and safer cross-agent coordination.
    Downloads: 1 This Week
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  • 6
    Vibe-Trading

    Vibe-Trading

    Vibe-Trading: Your Personal Trading Agent

    ...The platform integrates multiple data sources, including equities, crypto, and derivatives, with automatic fallback mechanisms. It features a swarm-based architecture with prebuilt expert agent teams for research, trading, and risk management. Advanced backtesting engines provide statistical validation, optimization, and performance metrics. The system also includes persistent memory, enabling it to learn from past interactions and refine strategies over time. Overall, it delivers an end-to-end AI-driven trading environment for both research and execution.
    Downloads: 15 This Week
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  • 7
    pg-aiguide

    pg-aiguide

    MCP server and Claude plugin for Postgres skills and documentation

    ...It focuses on improving developer productivity by reducing errors and providing context-aware suggestions. The project also includes documentation and examples that help users understand best practices in database design and querying. It is particularly useful for teams working heavily with PostgreSQL who want to leverage AI tools effectively. Overall, pg-aiguide enhances database-related AI workflows by providing structured, domain-specific knowledge.
    Downloads: 8 This Week
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  • 8
    Clawith

    Clawith

    OpenClaw for Teams

    Clawith is an AI-driven agent system focused on enabling intelligent task execution, coordination, and interaction across complex environments. It is designed to function as a control layer where agents can perform actions, manage workflows, and respond dynamically to changing conditions. The system likely emphasizes integration with external tools and services, allowing agents to extend their capabilities beyond internal reasoning. Its architecture suggests support for multi-agent...
    Downloads: 5 This Week
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  • 9
    npcpy

    npcpy

    The AI toolkit for the AI developer

    npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also...
    Downloads: 3 This Week
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  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

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  • 10
    Agent Skills for Context Engineering

    Agent Skills for Context Engineering

    A comprehensive collection of Agent Skills for context engineering

    ...The repository emphasizes context engineering as a discipline, covering why agents fail when context gets too large, too noisy, or poorly structured, and how to mitigate those failure modes with repeatable patterns. It is designed to be used across modern agent environments that support skill folders and structured instructions, so teams can standardize how agents operate instead of relying on ad-hoc prompting.
    Downloads: 6 This Week
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  • 11
    Claude Blog

    Claude Blog

    Claude Code blog skill suite

    ...Commands support new blog posts, rewrites, content audits, briefs, editorial calendars, strategy, outlines, SEO checks, personas, taxonomy, multilingual workflows, research, audio narration, and Google data. Claude Blog is best suited for solo publishers, marketing teams, agencies, and Claude Code skill builders who want structured editorial automation.
    Downloads: 3 This Week
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  • 12
    OpenHarness

    OpenHarness

    Open Agent Harness with a built-in personal agent, Ohmo

    ...OpenHarness is designed to integrate with modern ML ecosystems, supporting distributed training and efficient resource utilization. It also emphasizes collaboration, enabling teams to share configurations and results in a standardized format.
    Downloads: 3 This Week
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  • 13
    NVIDIA AgentIQ

    NVIDIA AgentIQ

    The NVIDIA AgentIQ toolkit is an open-source library

    NVIDIA AgentIQ is an open-source toolkit designed to efficiently connect, evaluate, and accelerate teams of AI agents. It provides a framework-agnostic platform that integrates seamlessly with various data sources and tools, enabling developers to build composable and reusable agentic workflows. By treating agents, tools, and workflows as simple function calls, AgentIQ facilitates rapid development and optimization of AI-driven applications, enhancing collaboration and efficiency in complex tasks. ​
    Downloads: 3 This Week
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  • 14
    Unstract

    Unstract

    No-code LLM Platform to launch APIs and ETL Pipelines

    Unstract is a powerful open-source, no-code platform built to automate the extraction and structuring of unstructured documents using large language models and flexible workflows, enabling developers and data teams to turn messy files into organized JSON content without complex coding. It integrates a visual Prompt Studio environment where users can iteratively design extraction schemas, compare outputs from different models, and monitor costs and accuracy side by side, making it easier to refine prompts and extraction logic before deploying at scale. ...
    Downloads: 4 This Week
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  • 15
    Claude SEO

    Claude SEO

    Universal SEO skill for Claude Code

    ...It can run full site audits, single-page reviews, schema validation, AI search readiness checks, sitemap workflows, local SEO analysis, and SEO reporting. Claude SEO is useful for agencies, in-house teams, and consultants who want repeatable SEO audits inside Claude Code.
    Downloads: 2 This Week
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  • 16
    Omnigent

    Omnigent

    A meta-harness for all your AI agents

    ...The platform supports collaboration, shared live sessions, co-driving, conversation forking, and remote access from deployed servers. It also includes policy controls for approvals, tool access, spending limits, sandboxing, and server-wide governance. Omnigent is useful for teams and power users who want multi-agent supervision, safer execution, and flexible access from different devices.
    Downloads: 2 This Week
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  • 17
    AG-UI

    AG-UI

    The Agent-User Interaction Protocol

    ...This makes it easier for developers to build agent-powered apps that stream progress, request human input, update UI state, and coordinate complex workflows. The project is especially useful for teams building copilots, workflow assistants, multi-agent products, or custom AI interfaces. Overall, AG-UI provides a shared communication layer between autonomous systems and the interfaces where people actually use them.
    Downloads: 3 This Week
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  • 18
    Aden Hive

    Aden Hive

    Outcome driven agent development framework that evolves

    ...Once deployed, agents can capture failure data, evolve automatically to meet their success criteria, and redeploy without constant manual intervention, delivering continual improvement over time. The framework also includes human-in-the-loop nodes, credential management, cost and budget controls, and real-time observability so teams can monitor execution and intervene as needed. Hive is designed for production environments and supports a wide range of large language models, local models, and business system connectivity.
    Downloads: 6 This Week
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  • 19
    Agent Stack

    Agent Stack

    Deploy and share agents with open infrastructure

    Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in...
    Downloads: 6 This Week
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  • 20
    Agentex

    Agentex

    Open source codebase for Scale Agentex

    ...It also includes evaluation harnesses that capture success criteria and partial credit, plus traces you can inspect to understand where reasoning or tool use failed. The design encourages clean separation between experiment configuration and code, which makes sharing results or re-running baselines straightforward. Teams use it to progress from prototypes to production-ready agent behaviors by iterating on prompts, adding tools, and validating improvements with consistent metrics.
    Downloads: 3 This Week
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  • 21
    Cua

    Cua

    Open-source infrastructure for Computer-Use Agents. Sandboxes

    ...Cua can also manage task dependencies, handle cross-platform invocations, and simplify complex workflows into simple aliases or compound commands that are easy to share in teams. By centralizing shared commands in a structured, documented config, it helps reduce errors, accelerates onboarding of new contributors, and keeps task definitions versioned with the codebase. The CLI is typically lightweight, easy to install, and designed to integrate with existing toolchains and shells without friction.
    Downloads: 1 This Week
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  • 22
    NVIDIA NeMo Agent Toolkit

    NVIDIA NeMo Agent Toolkit

    Library for efficiently connecting and optimizing teams of AI agents

    NVIDIA NeMo Agent Toolkit is an open-source framework designed to build, optimize, and manage AI agents across different development ecosystems. It provides enterprise-grade tools for improving agent performance, reliability, and observability throughout the development lifecycle. The toolkit integrates with popular agent frameworks such as LangChain, LlamaIndex, CrewAI, Microsoft Semantic Kernel, and Google ADK. Developers can monitor agent execution, trace workflows, and analyze...
    Downloads: 2 This Week
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  • 23
    Hiring Agent

    Hiring Agent

    AI agent to evaluate and score resumes

    ...After the data is collected, it produces an explainable evaluation with category scores, supporting evidence, bonus points, and deductions. It can run locally with Ollama or use Google Gemini, which makes it flexible for teams that want either private local processing or hosted model access.
    Downloads: 0 This Week
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  • 24
    Violin

    Violin

    Open-source Video Translation Skill

    ...It can be used from the command line, through a FastAPI web app, or as a Claude Code skill. Violin supports multilingual workflows and is useful for creators, educators, localization teams, and developers building automated video translation pipelines. It is especially practical for turning lectures, tutorials, interviews, demos, and social videos into accessible content for wider audiences.
    Downloads: 0 This Week
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  • 25
    OpenSRE

    OpenSRE

    Build your own AI SRE agents. The open source toolkit for the AI era

    ...When an alert is triggered, the system autonomously analyzes correlated signals, identifies anomalies, and generates structured investigation reports with probable causes and recommended actions. Its multi-agent architecture allows parallel reasoning across systems, mimicking how experienced SRE teams debug complex issues. The platform also incorporates memory and knowledge graph capabilities to learn from past incidents and improve future investigations. It is designed to run locally within an organization’s infrastructure, ensuring data privacy and compliance.
    Downloads: 0 This Week
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