ard-spec/spec/ard.md at main · ards-project/ard-spec
Agentic Resource Discovery (ARD) specification. Contribute to ards-project/ard-spec development by creating an account on GitHub.
docs/docs/index.md at main · ards-project/docs
Agentic Resource Discovery (ARD) specification — documentation site - ards-project/docs
Snowflake and the Agentic Resource Discovery Specification
Snowflake supports ARD, an open protocol developed with Microsoft to standardize how AI agents are cataloged, searched and discovered enterprise-wide.
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It feels like every other month, there is a new agent protocol and it’s getting hard to keep track of which protocol is used when…
oracle/agent-spec
Open Agent Spec (Agent Spec) is a framework-agnostic declarative language for defining agentic systems. It defines building blocks for standalone agents and structured agentic workflows as well as common ways of composing them into multi-agent systems.
A sufficiently detailed spec is code
Specifications do not address the limitations of agentic coding
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A mechanism for discovering Agent Skills using the .well-known URI path prefix as specified in RFC 8615 for discovering Agent Skills.
Agentic Product Development - Erlend Sogge Heggen
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The Model Context Protocol - that extends IDEs’ AI capabilities - is gaining rapid popularity. Why is this, and why should us developers pay attention to it?
Full Spec MCP: Hidden Capabilities of the MCP spec — Harald Kirschner, Microsoft/VSCode
The Spec Can Come Later - The Phoenix Architecture
When I say things like "delete the code, keep the spec," many people seem to interpret that as a rule: write the specification first, and only then are you a…
The Spec Can Come Later - The Phoenix Architecture
When I say things like "delete the code, keep the spec," many people seem to interpret that as a rule: write the specification first, and only then are you a…
New capabilities for building agents on the Anthropic API | Claude
Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.
