DISCOVER THE FUTURE OF AI AGENTS

All Projects

140 projects

RAPTOR

An autonomous security research framework built on Claude Code, chaining static analysis, binary fuzzing, LLM-driven vulnerability validation, and exploit generation

Model & Inference FrameworkLarge Language ModelsMulti-Agent System

Agentic Context Engine (ACE)

🧠

A framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.

OtherModel Context ProtocolAI Agents

Dynamiq

A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.

Model & Inference FrameworkModel Context ProtocolRAG

Pipecat

An open-source Python framework for real-time voice and multimodal conversational AI agents, enabling end-to-end streaming voice interaction via composable Pipeline architecture.

MultimodalMulti-Agent SystemAI Agents

CAIPE (Community AI Platform Engineering Multi-Agent System)

An open-source Multi-Agent AI System for Platform Engineering teams, providing persona-driven specialized agent collaboration for automated platform operations including incident management, continuous deployment, and workflow orchestration.

AI AgentsRAGModel Context Protocol

Aegra

Self-hosted alternative to LangSmith Deployments, an AI Agent backend service based on FastAPI and PostgreSQL with zero-code migration and full data sovereignty.

Multi-Agent SystemAI AgentsAgent Framework

Rapid-MLX

A local AI inference engine for Apple Silicon with OpenAI-compatible API, supporting multi-modal, tool calling, and smart cloud routing.

AI AgentsLarge Language ModelsModel Context Protocol

company-research-agent

A multi-agent company due diligence and research tool based on LangGraph + Tavily that automatically generates comprehensive company research reports.

AI AgentsMulti-Agent SystemAgent Framework

fast-agent

A Python Agent development framework for LLMs featuring native end-to-end MCP support, declarative agent definition, multi-model routing, workflow orchestration, and interactive Coding Agent capabilities.

Model & Inference FrameworkLarge Language ModelsModel Context Protocol

FastMCP

The fast, Pythonic way to build MCP servers, clients, and interactive apps based on the Model Context Protocol.

Model & Inference FrameworkSDKAI Agents
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