affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
aipotheosis-labs/aci
ACI.dev is an open-source platform designed to empower AI agents by providing seamless access to over 600 tool integrations through a unified infrastructure. It offers multi-tenant authentication, granular permission controls, and dynamic tool discovery, enabling AI agents to interact with various services securely and efficiently. The platform supports access via direct function calls or through a Unified Model-Context-Protocol (MCP) server, making it highly flexible and adaptable to different AI frameworks and architectures. The core value of ACI.dev lies in its ability to simplify the complex infrastructure challenges associated with building production-ready AI agents. Instead of developers having to implement separate OAuth flows and API clients for each service like Google Calendar or Slack, ACI.dev centralizes authentication and tool management. This allows AI agents to perform tasks such as managing calendars, sending emails, conducting research, automating sales outreach, and handling customer support with ease. ACI.dev is framework and model agnostic, meaning it can integrate with any large language model (LLM) framework or agent architecture. It is fully open source under the Apache 2.0 license, including its backend, developer portal, and integrations. The platform also enhances agent reliability by enabling natural language permission boundaries and reducing context overload through dynamic tool discovery. Key features include 600+ pre-built integrations, multi-tenant authentication, flexible access methods (via MCP server or Python SDK), and support for vibe coding and VibeOps—automated devOps powered by AI agents. The project encourages community contributions and provides extensive documentation, demos, and SDKs to facilitate adoption. Overall, ACI.dev serves as a comprehensive infrastructure layer that streamlines the development and deployment of AI agents capable of interacting with a wide range of tools and services securely and efficiently, leveraging the Model-Context-Protocol (MCP) for unified communication.
https://github.com/aipotheosis-labs/aci
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