ARSContexta

A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.

AI memory system for coding agents — code index + cognitive facts, persistent across sessions.

Unified knowledge capture and retrieval for URLs, video/article/paper extracts, social posts, and agent research outputs. Use when saving anything worth re-f...

ContextKeeper — Safe project state tracking for AI agents. Manual checkpoint creation with validated inputs. No background processes, no PID manipulation, no...

Share real-time organizational context with your AI agent — query your context graph, manage records, and receive live insights

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that de