Zot coding agent now supports DeepSeek
Static Go binary coding agent that skips Docker and runs anywhere.
The execution and observability layer for AI agents.
Agent interop protocol is needed, but reference impl is toy examples—no adoption signal or real-world validation.
Agent framework builders, orchestration platform devs, multi-agent system architects
OpenAI Swarm · LangGraph · CrewAI SDK
We have marketplaces, orchestration frameworks, SDKs, and payment rails, but no minimal, framework-agnostic execution surface that lets heterogeneous agents actually coordinate work in a predictable way.
Most current setups tightly couple: - Execution logic - Economic logic - Framework internals
This makes interoperability brittle.
So I built a small experimental reference implementation that focuses on: - A middleware interception layer for tool-call validation - A minimal A2A JSON-RPC draft spec - An “economic hook” abstraction that can sit beneath orchestration or marketplace layers
Framework-agnostic design (CrewAI, AutoGen, custom stacks)
The goal is to solve coordination before economics.
This is still experimental, but I’d love feedback on: 1. Whether a standardized execution hook makes sense at the SDK boundary 2. If coordination should be separated strictly from routing/marketplace logic 3. What I might be missing architecturally
Curious to hear thoughts from others working on agent infra.
- Joaquin
Static Go binary coding agent that skips Docker and runs anywhere.
JSON-RPC plugin architecture lets you write DB drivers in any language.
Bubble Tea TUI for A2A protocol when the spec itself is still emerging.
Agent labor routing protocol, but unclear if the agentic economy actually needs this.
Elixir A2A protocol implementation with GenServer ergonomics; competitive duplicate exists.
Research thesis on agent protocols when everyone's already building agent infrastructure.