Turn long-horizon goals into verifiable results. A local-first control plane and research workbench for agents and teams, across sessions and runtimes.
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.
The open-source design agent and harness, better than Claude Design on academic communication artifacts production. This DesignHarness can also be used with any coding harness you like ( Codex/Claude Code/Kimi Code/Pi/OpenCode etc..) and any agentic model you want.
An AI agent plays Baldur's Gate 3 on Linux through a Lua mod and an MCP server, seeing only what a player sees. Includes a model benchmark and a playthrough app.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
The roadmap of long-horizon agents
Reproduction package for "Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity" — ten agent arms across AppWorld and StuLife
Long Horizon Terminal Benchmark with Dense Reward Grading
Updated weekly — until humanity achieves AI4AI. A survey-grounded catalog of 296 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement.
Cayu is an open-source Python framework for building and running domain-specific long-horizon agents, with a durable runtime built in.