Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain & CrewAI integrations.
🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
Agent-readable second brain using PostgreSQL + pgvector for semantic search and memory storage.
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.
Create AI agents that live, learn, and evolve. Built by Genesis (Gen-0), a digital life form.
Persistent filesystem-based memory system for Claude Code. Pure MIF Level 3 compliant memory storage with YAML frontmatter, bi-temporal tracking, and proactive hooks. No dependencies - just markdown files and git.
Universal memory layer for AI applications. Self-host in minutes. Open source.
A machine with human-like memory systems.
Production-ready AI agent framework — semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.
A self-evolving, AI-native language and platform for intelligent agents and autonomous software.
The OpenAI-Gym-compatible Room environment.
multi-agent AI framework for VScode copilot with semantic memory and gemini-CLI baked in
Take your ChatGPT chats with you. A local-first AI companion with chat import, semantic memory, agentic skills, and full autonomy.
Semantic knowledge graph engine with Raft consensus, HNSW vector search, neural memory (Ineru), zero-knowledge proofs, and P2P gossip sync. Powers the Cortex sidecar for AI agent frameworks.
Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.
LIFE — Persistent identity architecture for AI agents. 16 MCP servers: drives, heart, memory, patterns, journal, genesis, garden, vision, voice, and more. Zero dependencies. Built across 938 conversations.
Build an AI Agent with long term memory using LangGraph
Tokio-native agent memory — episodic, semantic, working memory with decay, persistence, and multi-agent bus
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