Mengram
✨Human-like memory layer for AI agents featuring semantic, episodic, and procedural memory with failure-driven workflow evolution. Offers Python/JS SDKs, REST API, and LangChain/CrewAI integrations.
Human-like memory layer for AI agents featuring semantic, episodic, and procedural memory with failure-driven workflow evolution. Offers Python/JS SDKs, REST API, and LangChain/CrewAI integrations.
A Kubernetes-based AI Agent runtime platform released by McKinsey, codifying patterns for deploying, orchestrating, and evaluating agentic resources via CRDs, providing production-grade infrastructure for multi-agent systems. Currently in Technical Preview.
A Python-based MCP protocol implementation framework providing client-server architecture for LLM tool orchestration, integrated with LangChain and ChromaDB for RAG development.
An open-source framework simplifying LLM integration in Java apps, supporting RAG, tool calling, and agents. Provides a unified API for major models like OpenAI and Gemini, with deep integration for Spring Boot and Quarkus.
A curated knowledge hub for AI Agent memory systems and RAG technologies, covering GraphRAG, LightRAG, KAG, Mem0, MemGPT with 50+ technical documents and open-source project indexes.
A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
Open-source self-hosted AI Agent platform featuring voice-driven workflows, episodic memory, multi-view orchestration, and enterprise-grade integrations. Users can drive complex automation via natural language while keeping data entirely in local environments.
An autonomous AI agent platform operating as a real Telegram user with native TON blockchain integration (wallet, DEX, NFT, DNS), featuring 100+ built-in tools, multi-provider LLM support, Hybrid RAG memory system, Plugin SDK, and MCP client extensibility.
A production-grade AI agent framework built on Elixir/OTP featuring human-in-the-loop approvals, sub-agent delegation, middleware composition, and real-time Phoenix LiveView integration with distributed cluster support.
PentAGI is a fully autonomous AI Agents system capable of performing complex penetration testing tasks in isolated Docker container environments. It features multi-agent collaboration, supports multiple LLM providers, integrates knowledge graphs for experience accumulation, includes 20+ professional security tools, and generates comprehensive security assessment reports.
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