Your coding agents remember what you decided β and what you changed. Plain-Markdown memory in Obsidian, shared by Claude Code, Codex and Cursor over MCP. Every answer cites its page; when the vault does not know, it says so. Imports your past sessions on install.
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents β no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files
Durable, traceable project memory for AI coding agents. An evolution of Karpathy's LLM Wiki pattern built for codebases.
Open-source AI agents for coding, research and automation. Run locally with your models, persistent memory, multi-agent execution, skills, MCP and self-evolving.
Learn to design an LLM wiki from first principles. Used as agent memory. Workshop with 3 exercises, open-source code, video, and slides. No coding skills required.
Local-first agent workflow for building private cross-project memory with explicit consent, validation, and crash-safe history.
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Source-linked readings and reproducible studies of agent memory, belief revision, and experience reuse.
MemAdapter: Counterfactual Adaptation Against Memory-induced Sycophancy
Typed long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.
TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.