Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Label Studio is a multi-type data labeling and annotation tool with standardized output format

A minimal yet professional single agent demo project that showcases the core execution pipeline and production-grade features of agents.

All parts of Claude Code's system prompt, 20 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, secur…

https://astro-multiplepage-portfolio.edgeone.app/

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

A Collection of Competitive Text-Based Games for Language Model Evaluation and Reinforcement Learning

Kimi CLI is your next CLI agent.

GenAI Agent Framework, the Pydantic way

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

Add your HDD, SSD and NVMe drives to your Synology's compatible drive database and a lot more

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data

On-device TTS model by Neuphonic

Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Official repo of Toucan: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments

A Python tool that automatically cleans, completes, and standardizes BibTeX entries using LLMs and web search.

Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.

MCPToolBench++ MCP Model Context Protocol Tool Use Benchmark on AI Agent and Model Tool Use Ability

A collection of LLM memes

Synthetic data curation for post-training and structured data extraction

MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

MCP-Universe is a comprehensive framework designed for developing, testing, and benchmarking AI agents

Public Evaluation Result Archieve for BFCL

Code and Data for Tau-Bench

MCP-based Agent Deep Evaluation System

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!