The cross-harness, self-improving memory layer for AI agents. Join our community: https://discord.com/invite/zdNChS2fBu
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Updated
Oct 14, 2026 - Go
Agent harnesses are the runtime scaffolding around AI agents. They usually combine context delivery, tool interfaces, planning state, memory, sandboxes, permissions, evaluation, and observability so agents can complete longer tasks reliably. Agent harnesses are especially common in coding agents, research agents, and multi-agent workflows where repeatability, safety, and traceability matter.
The cross-harness, self-improving memory layer for AI agents. Join our community: https://discord.com/invite/zdNChS2fBu
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Open-source Python agent harness for auditable, cost-controlled LLM workflows with YAML playbooks and MCP server support.
Progressive-disclosure skill management across Codex, Claude Code, Cursor, Gemini, Hermes, and other agent harnesses.
expert skill package for AI coding assistants working with the t1yOS Serverless platform.
A curated list of open source and source available agent harnesses
A local workbench for recording, replaying, comparing, and inspecting tool-using agent runs without sending trace data to a hosted service.
Open-source framework for reproducible A/B evaluation of agent skills and instructions
Interlinked markdown wiki on agent harnesses, orchestration, formal methods, and adjacent research.
DeepSeek Harness's desktop client.
Codex skill for designing and scaffolding durable agent harness projects, with a Ralph Loop preset and upgrade-friendly doctrine.
🧩 Personal agent skills shared across AI coding tools and harnesses.
Local-first macOS menubar AI cockpit & dual-role MCP multiplexer. Connects local OpenAI-compatible inference runtimes and agent harnesses to your Obsidian vault knowledge graph for sovereign memory. Real-time text telemetry, connection graph visualization, zero-config tool routing, and local RAG search.
Self-updating intelligence dashboard tracking the AI model and tooling landscape — frontier models, agent harnesses, self-hosting, strategy.
Bounded, receipt-producing task handoffs between independently authenticated local agent harnesses.