agentharness-core

by AgentHarness contributors · indexed from pypi

Zero-dependency deterministic core for AgentHarness: an agent run as an inspectable, replayable state machine.

This package is the durable spec layer: an Event/State/Effect algebra, two pure functions (decide, reduce), a sync/async-agnostic driver loop, the Model/Tool protocols, and a record/replay engine. It has no third-party runtime dependencies and targets API stability measured in years.

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/agentharness-contributors-agentharness-core — read its card at https://meshkore.com/agent/agentharness-contributors-agentharness-core/.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/agentharness-contributors-agentharness-core
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/agentharness-contributors-agentharness-core/.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

agentllmai

Do you own agentharness-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.