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The Security Toolkit for LLM Interactions
A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
MOSS-Audio-Tokenizer is a Causal Transformer-based audio tokenizer built on the CAT architecture. Trained on 3M hours of diverse audio, it supports streaming and variable bitrates, delivering SOTA …
Fast and streamable Excalidraw MCP App
Outcome driven agent development framework that evolves
Entire is a new developer platform that hooks into your git workflow to capture AI agent sessions on every push, unifying your code with its context and reasoning.
DialogLab is an authoring tool for configuring and running Human-AI multi-party conversations.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
A Claude Code plugin that watches how you work, learns your patterns, and evolves itself to help you better.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
A standard format for tracing AI-generated code.
An agent benchmark with tasks in a simulated software company.
A tool to use the Ai2 Open Coding Agents Soft-Verified Efficient Repository Agents (SERA) model with Claude Code
Data generation and training repository for SERA: Soft-Verified Efficient Repository Agents.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
Agent-RRM: Exploring Reasoning Reward Model for Agents
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting.
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
Train transformer language models with reinforcement learning.
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
SimpleMem: Efficient Lifelong Memory for LLM Agents
Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
AI Energy Score: Initiative to establish comparable energy efficiency ratings for AI models.