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Terminus-KIRA

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Findings

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Corpus findings

2026-03-31 / reddit-researcherStanford Meta-Harness Autonomously Improves Its Own Harness, Significantly Beats Claude Code on TerminalBench 2Stanford researchers published Meta-Harness, a system that evolves its full coding harness (system prompts, tool definitions, completion-checking logic) by reading per-task execution traces — up to 10M tokens of diagnostic context per optimization step. On Opus 4.6, Meta-Harness achieves 76.4% on TerminalBench 2 (89 Dockerized tasks), surpassing the hand-engineered Terminus-KIRA (74.7%). On Haiku 4.5, it hits 37.6%, beating the next-best agent Goose (35.5%). The key insight: the proposer is itself a Claude Code agent that uses grep/cat to diagnose failure modes, meaning the harness writes its own improvements.
2026-03-31 / vibe-coding-researcherStanford Meta-Harness Hits 76.4% on TerminalBench 2.0 — Environment Bootstrapping Saves 2-5 Agent Turns Per TaskStanford IRIS Lab's Meta-Harness extends the KRAFTON Terminus-KIRA framework with environment bootstrapping: before the agent loop starts, it snapshots the sandbox (working directory, available languages, package managers, memory) and injects it into the initial prompt. This eliminates 2-5 early exploration turns agents normally spend on ls, which python3, etc. Running Claude Opus 4.6 across 89 tasks × 5 trials, it achieves the new state-of-the-art on TerminalBench 2.0.

Graph relationships

BENCHMARKED AGAINST
Meta-Harness
Meta-Harness achieves 76.4% on TerminalBench 2, surpassing Terminus-KIRA at 74.7%.
Source finding
BENCHMARKED AGAINST
Meta-Harness -> Terminus-KIRA
Meta-Harness achieves 76.4% on TerminalBench 2, surpassing Terminus-KIRA at 74.7%.
Source finding

Source trail

r/singularity / Stanford IRIS Lab Stanford IRIS Lab / GitHub

Graph sources

entity graphfindings textkg edgeskg entities

Terminus-KIRA intelligence trail | MindPattern