Agent Valley β a hands-on chapter-one agent lab: catch a model lying, give it a tool with one line, and watch the state it changed survive a reload.
A stress-testing benchmark for partial-completion evaluators in stateful multi-turn agents, focusing on temporary progress, rollback, and attribution failures.
β
Disk-backed pipeline that takes AI coding agents from raw idea to shipped code β gated phases, orchestrated subagent builds, and crash-proof state, from a single milestone to a full multi-milestone program.
An evidence-grounded agent workspace for road-maintenance knowledge Q&A, stateful distress diagnosis, human-reviewed treatment drafts, and project-level delivery artifacts.
An inference-time framework for long-horizon LLM agents with explicit belief states, consistency validation, and trapping-aware recovery.
Self-hosted multilingual (English + 5 Indic) phone voice agent template - LiveKit Agents + Sarvam STT/TTS + OpenAI + Vobiz SIP. ~700ms-1.2s latency, under Rs 5.5/min. Demo: a real-estate site-visit booking agent.
Seedance 2.0 agent skill with evidence gates, reference roles, sequence state, repair loops, validation, and documented API integration boundaries.
ποΈ The hardest life-admin benchmark for agents β lawsuits, escrow shortfalls, apartment hunts, exams. 20 long-horizon tasks Γ 20β30 stages across 10 domains and 21 services, scored by 1247 atomic checks that read backend state, not prose. Bilingual zh/en. Current 20 tasks are relatively easy.
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.
Autonomous Penetration Testing Agent Framework with External State Memory & Anti-False-Falsification Guardrails.
Official Repository containing Problem Statements, Resources and more for TechSoC -26
WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.
State-of-the-art bio cell models for inference and training. Minimal, readable, and produciton-ready.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding