Memory that AI Agents Love!
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Updated
Aug 21, 2026 - Python
Memory that AI Agents Love!
A MMORPS platform for persistent, branching AI stories using Gemini 3, LangGraph, and Firestore.
Operational Ontology public reference: principles, D+L+A, governance, and write-back for stateful AI operations. No production implementation.
An AI agent that acts as a "Generative Historian," inspired by Isaac Asimov's Foundation, to simulate the emergent history of a civilization from the stone age to the stars.
First LLM runtime that preserves chain-of-thought under continuous user interruption. S(t+1)=f(S(t),ΔU)
Complete hands-on Agentic AI bootcamp repository covering LangGraph, LangChain, AI Agents, multi-agent workflows, RAG pipelines, tool-augmented LLM systems, memory architectures, and production-grade AI application engineering for real-world intelligent systems.
GraphNews is a multi-agent system that acts as a self-correcting editorial team, generating newsletters
Stateful Telegram AI Assistant powered by Gemini 2.5 Flash & LangChain. Securely manages Google Calendar (CRUD) via custom tools. Features SQL-backed conversational memory for dynamic chats, zero-downtime error handling, strict access control, and cloud-ready architecture.
EVM — Evolution Vector Memory: deterministic interaction-state continuity and bounded identity evolution framework for AI systems.
Adaptive Runtime Layer for Stateful AI Systems
Agent Operating System running locally in the browser: a persistent, tool-driven AI that reasons in an agentic loop, executes skills, manages memory/state, and evolves over time with optional sync and strict governance.
Continuum — Open Loop OS. Memory that moves. Measure Open Loop Debt, close it with Cited Motion, write results back into graph memory.
Deterministic reflex-aware conversational middleware: tone tagging → deviation scoring → governance modes (Terminal + React demo, seeded replay, no external APIs).
📰 Automate news research and curation with GraphNews, a multi-agent system that ensures high-quality, factual content through self-correction.
A viewer whose perception evolves with each image—stateful, memory-carrying VLM reflections across a gallery.
An Experimental Cognitive Architecture with Persistent Memory for stateful LLM-agents
A laboratory for Java AI applications and agentic architectures. Focused on stateful multi-agent orchestration,LangChain4j, LangGraph4j workflows, and Spring Boot integrations. Practical, local-first LLM patterns using Ollama, and the Model Context Protocol (MCP).
Ollmo is a state-native runtime for local AI with Ollama, MLX, and llama.cpp. It makes supported model and media workflows durable and inspectable by recording which outputs exist, what remains open, and why.
Stateful RAG with isolated user memory with history compression and semantic cache.
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