procedural-memory

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

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.

Agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library, Model Context Protocol (MCP) server, Vercel AI SDK middleware. Wins 9/9 answer-quality comparisons on LongMemEval-500 (3 judges, Bonferroni).

Muscle memory for Claude, OpenClaw, and AI agents. Zero-cost Hebbian memory system — learns which files matter through co-access patterns, predicts what you need next.

📚 Practical guide to context engineering for AI agents. Why context fails, how memory works, and techniques that actually help.

MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.

Memory for Claude Code that survives between sessions. Three kinds of memory (episodic, semantic, procedural) in one local markdown vault, surfaced in conversation through MCP.

Locally run multi-tier, multi-model, multi-modal, multi-mode Agentic AI Assistant Training/Inference Instance with CRAIID - Continuous Redundant AI Instance Dialogue - A proprietary personalized context/memory compression/storage/management subsystem designed to overcome ctx fatigue while maintaining accuracy, integrity & fidelity. And a lot more!

Build and manage persistent memory for AI agents by enhancing workspace indexing to ensure directive compliance and accurate behavior.

Self-growing procedural knowledge layer for AI agents. Rust MCP server + CLI — recall relevant knowledge before tasks, record outcomes after, distill experience into reusable insights. Works with Claude Code, Codex, opencode.

LIA Labs / Learnkit - "Make your AI agents Learn Improve and Adapt".

Agent's procedural memory for the web. Turn one successful browser workflow into reusable, zero-cost CLI commands.

Pragmatic Senior Engineering Meta-Skill for AI coding agents. Evidence-based verified loops, strict TDD, anti-guessing discipline, and clean code.

A model-agnostic multi-layer vector storage system with explicit mappings and learned retrieval shortcuts.

Every session becomes practice film — Hermes-inspired, Letta-native Skill Ops for agents.

The final evolved version of gemini-mem

Governed procedural memory for AI agents — turn corrections, source material, and proven workflows into review-gated, versioned recipes agents can safely retrieve, lock, execute, and improve.

The audit and verification layer for AI agents - verified procedural memory with compliance reports (SOC 2, EU AI Act, NIST AI RMF), a public procedure registry, and the verifier gate

Agents should not relearn workflows. Myelin turns repeated agent behavior into reusable procedures via MCP.