Reproduction package for "Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity" — ten agent arms across AppWorld and StuLife
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Updated
Oct 10, 2026 - Python
Reproduction package for "Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity" — ten agent arms across AppWorld and StuLife
DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks. Code, paper and blog post.
Agentic Soft-Token Compression (ASTC): training-free in-model context compression for long-horizon LLM agents.
[arXiv] ExpHarness: Model-Agnostic Experience Learning through a Trainable Harness
Minimal AppWorld agent for auto-agent optimization experiments — target agent that gets autonomously improved
Pi-Bench research workspace for proactive-agent evaluation, memory-backend integration, experiment orchestration, and diagnostics.
Harness-localized credit assignment and certificate-guided RL for AppWorld agents
Controlled comparisons of ordinary tools and Code Mode on agent recovery and conditional batching, with saved traces, offline verification, and live runners.
Experimental code and selected traces for automatic task discovery and verification
Task-conditioned tail reliability for tool-using agents under equivalent interfaces
A2A green-agent orchestrator for evaluating agents on the AppWorld benchmark, built on the AgentBeats SDK
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