dart_agent_core
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.
⚡ 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, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/memex-lab-dartagentcoreFor 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 agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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.
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