Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.

Governance standard and reference toolset for LLM-maintained knowledge corpora

Public results and task definitions for FrontierHarness Eval

a coding Agent, rpc plugin, sub-agents, hashline edits, and mcp

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.