odek: AI agent with long-term semantic memory across sessions
odek is an AI agent that maintains a structured, semantic long-term memory across sessions, remembering user preferences, codebases, and goals without requiring re-explanation. It uses LLMs to process and store information in a three-tier memory system, solving the problem of session-only memory for users who need continuity in their interactions.
Entities
Related
Developer reports AI coding agent with persistent memory across cold reboots
A developer on Reddit reports that their AI coding agent retained full context—including decisions, boundaries, and past mistakes—across a complete PC shutdown and fresh terminal session. The agent continued mid-thought without re-explanation or warm-up, suggesting a breakthrough in long-term memory persistence for coding assistants.
Hermes Agent: personal AI with memory, tools, and daily workflow integration
Hermes Agent is a personal AI agent that goes beyond chatbots by incorporating memory, tools, and daily workflow integration. It uses LLMs to remember user context, execute actions via tools, and become a persistent part of the user's routine, solving the problem of AI tools being ephemeral and disconnected from daily tasks.
Inkfold – workspace across multiple AI providers with shared memory
Inkfold is a workspace that lets users interact with multiple AI providers (e.g., OpenAI, Anthropic) through a unified interface, with a shared memory system that persists context across sessions. It solves the problem of managing separate chat histories and contexts when using different AI models, providing a seamless experience for power users and developers.
Medium post argues ambient memory AI needs enterprise-grade infrastructure
A Medium post contends that ambient memory—AI that knows user context—requires deterministic, enterprise-grade infrastructure beyond mere knowledge. The post highlights the gap between the promise of context-aware AI and the practical deployment needs for enterprises.
Replay coding-agent sessions on a 3D codebase map
Mindwalk replays coding-agent sessions on a 3D map of your codebase, letting developers visualize and debug agent actions spatially. It uses LLMs to power the coding agent whose sessions are replayed, helping developers understand agent behavior and codebase structure.