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Search: goa · Language: Python · clear

mikamikasuki / forest

FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

▲ ~56/7d ★ 303 Python 3d ago
Roboparty / P-BFM

Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.

▲ ~35/7d ★ 84 Python 1d ago
loopx-project / loopx

Turn long-horizon goals into verifiable results. A local-first control plane and research workbench for agents and teams, across sessions and runtimes.

▲ ~21/7d ★ 6.4k Python today
wanmol / goal-flow

Graph-Orchestrated Agent Loop — a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wire protocols (Dify/OpenAI).

▲ ~7/7d ★ 143 Python 2mo ago
beyondtahir / beyondwords

A goal-driven AI book production house for Amazon KDP: research niches, create books, publish, manage ads and deliver client services.

▲ ~7/7d ★ 108 Python 11d ago
seohongpark / ogbench

A benchmark for offline goal-conditioned RL and offline RL

▲ ~0/7d ★ 505 Python 14d ago
i3T4AN / KADATH

Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.

▲ ~0/7d ★ 258 Python 2mo ago
zju3dv / INTACT-JEPA

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.

▲ ~0/7d ★ 217 Python 10d ago
devZero-Security / redStackPRO

A canvas for red team infrastructure and cyber ranges. Compose a topology, export runnable Terraform and Ansible, and deploy it yourself. Your cloud credentials never leave your machine.

▲ ~0/7d ★ 164 Python 14d ago
bydtesla1609 / intent-debugger

Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and boundaries. 这是一个需求澄清 Skill:把说不清的想法整理成一份清晰、可核对的需求清单,在执行任务前对齐目标、流程与边界等。

▲ ~0/7d ★ 123 Python today
6987886-ux / 3s-codex-workflow

Three lightweight Codex workflow skills for goal clarity, evidence-based review, and safe public research.

▲ ~0/7d ★ 98 Python 2mo ago
Optim-Agent / dsh-plans

Human-in-the-loop planning preset for DeepSeek Harness (DSH), adapted from prime-plans: researched Markdown plans in ./dsh-plans, reviewer/criticizer subagent refinement, per-workspace language & model settings, goal-driven execution with ponytail + MVP tests.

▲ ~0/7d ★ 58 Python 2mo ago
nikships / muse-cli

CLI for your personal muse.ai AI agent: chat, side chats, feed, goals, ideas, and sessions from the terminal. No browser needed.

▲ ~0/7d ★ 48 Python 17d ago
hanshuang1008-del / spec-goal-development

pec-goal-development 是一个面向 Codex编码智能体的 Skill,作为复杂开发任务的默认编排层。它解决的是开发者最头疼的三件事:AI 答应得好好的却改出一堆 bug、需求越聊越偏、做到一半不清楚进度。用户无需主动输入 SPEC、Goal 等术语——只要像平时一样描述需求,Skill 会自动判断复杂度并进入相应执行路径,在写代码前先与你确认授权。

▲ ~0/7d ★ 45 Python 2mo ago
nibor1896 / Crow

Crow — a local AI agent, not a chat box: 30 tools, MCP, memory, skills, goals, subagents, vision, and image generation and editing with Qwen-Image. Runs on crow-nest or llama.cpp on one GPU, or any model via OpenRouter. Windows and Linux.

▲ ~0/7d ★ 37 Python 2d ago
Shashankss1205 / OpenDots

An open-source agent runtime inspired by OpenAI’s Dots: persistent AI agents that pursue goals, react to events, and keep work moving 24×7.

▲ ~0/7d ★ 34 Python 5d ago
fornhere / orvant

Your coding agent says "done". Orvant asks for proof. A skill for Claude Code, Codex and other file-capable agents, plus a Python engine that clarifies the goal, prepares an independent acceptance oracle and accepts work only through an independent gate. Engine workers currently run on Codex CLI. Open beta.

▲ ~0/7d ★ 33 Python 11d ago
yacine-baghli / DYB-Pro

DYB Pro hands the protein design pipeline to Devin: state a goal, add sequences, and an autonomous in-silico cycle returns a ranked, order-ready wet-lab shortlist at a fraction of the cost. Devin orchestrates specialist agents whose results commit to a version graph the next cycle reads.

▲ ~0/7d ★ 27 Python 1mo ago
mbzuai-oryx / WorldGuide

WorldGuide: Goal-Directed Video World Model for Procedural Task Execution.

▲ ~0/7d ★ 26 Python 10d ago
PaulineWang183 / daytrace

A local-first AI desktop planning assistant that turns goals into executable time.