Discover AI agent definitions for any runtime
Multi-LLM binary decompilation service with production-ready API, Docker deployment, and comprehensive testing. Features direct provider specification, open access architecture, and operational excellence.
AI-powered Python code reviewer specializing in security vulnerabilities, performance optimization, and code quality improvements. Identifies SQL injection, XSS, authentication issues, and provides Pythonic fixes with detailed explanations.
AI assistant for developing and maintaining a full-stack Reddit sentiment analysis application using React, Node.js, and AI APIs (Claude/OpenAI).
A lightweight Python coding assistant powered by Google's Gemma 2 2B model, optimized for code generation, debugging, and Python development tasks with 4-bit quantization for efficient inference.
Enterprise-grade security constraints for AI-assisted development. Enforces secure coding practices, prevents common vulnerabilities, and blocks unsafe operations across backend, frontend, and DevOps workflows.
Generate comprehensive research reports with deep retrieval and reasoning using AgentCPM-Report, an 8B parameter model matching Gemini-2.5-Pro-DeepResearch performance for local, secure deep research tasks.
A 4B-parameter agent foundation model specialized in long-horizon, deep research tasks with sustained environment interaction. Achieves SOTA performance in on-device agent benchmarks through multi-source cross-validation and dynamic search strategies.
A Python coding assistant powered by a fine-tuned Mistral 7B model, optimized for code generation and Python development tasks.
7B parameter AI agent specialized in function calling, tool use, and API integration. Excels at interpreting and executing complex function calls, routing requests, and chaining multi-step operations with efficiency comparable to larger models.
Answer questions in French using CamemBERT fine-tuned on PIAFv1.1, FQuADv1.0, and SQuAD-FR datasets. Achieves ~80% F1 score on French Q&A tasks.
A conversational AI model optimized for exploration and agent tasks, available in multiple GGUF quantization formats for efficient local inference with llama.cpp or compatible runtimes.
A specialized 14B parameter code generation model optimized for verifiable coding problems, available in multiple GGUF quantization formats for efficient local inference
State-of-the-art coding agent trained with reinforcement learning to solve complex software engineering tasks, navigate codebases, and edit multiple files. Achieves 59% on SWE-Bench-Verified.
A 7B parameter conversational AI agent model optimized for various tasks, available in multiple GGUF quantization formats for efficient local deployment
Quantized GGUF model files for AgentCPM-Explore with imatrix weighting, optimized for local inference across various quality/size tradeoffs. Includes 25+ quantization variants from IQ1_S to Q6_K.
A specialized AI agent model optimized for security and safety tasks, available in multiple GGUF quantization formats for efficient local deployment.
An open-source agentic AI model specialized in terminal operations, code generation, and software engineering tasks. Based on Qwen3-8B and fine-tuned on curated agent datasets for shell commands and bug fixing.
Advanced AI security agent based on Qwen2.5-7B, specialized in safety analysis, threat detection, and security-aware task execution with fine-grained control capabilities.
Universal framework for integrating GitHub Copilot and AI agents into software engineering workflows. Provides specialized agent roles, token-optimized documentation retrieval, multi-project orchestration, and workflow governance across any technology stack.
A specialized AI agent model optimized for security, safety, and agentic tasks based on Qwen2.5-7B architecture. Available in multiple GGUF quantization levels for local deployment.