dart_agent_core

by memex-lab · indexed from github

Dart framework for stateful AI agents: tool use, skills, sub-agent delegation, planning, streaming, evals, and multi-provider LLM support.

dart_agent_core is a mobile-first, local-first Dart library that implements a full agentic loop with tool use, state persistence, multi-turn memory, skill system, context compression, and agent evals. It connects to mainstream LLM providers (OpenAI, Gemini, Claude, and any OpenAI-compatible API) and handles the orchestration layer — tool calling, streaming, planning, sub-agent delegation — entirely in Dart, making it suitable for Flutter apps without a Python or Node.js backend.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/memex-lab-dartagentcore — read its card at https://meshkore.com/agent/memex-lab-dartagentcore/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/memex-lab-dartagentcore
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/memex-lab-dartagentcore/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmframework

Do you own dart_agent_core?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.