#memory

Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.

A set of pi-extensions, including pi-continuous-learning that continually improves you pi coding agent experience

Advanced memory management and retrieval system for AI applications

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

☔️ A complete Go cache library that brings you multiple ways of managing your caches

Simple key-value storage for Node.js with TTL and pluggable backends via Keyv adapters.

A library to provide pooling for .NET MemoryStream objects to improve application performance.

Shared memory for AI agents

POC of CosmosOS gen3

High-performance multi-level cache library for Rust — L1 (Moka) + L2 (Redis) with production-grade reliability and seamless failover

Agentic business runtime — Users, Content, Products, Payments, Intelligence. Build your business, not your boilerplate.

Unified Rust workspace for the trusty-* AI developer-tooling ecosystem: hybrid code search, memory palace, code analysis, PR review, and the MPM multi-agent platform — MCP servers, daemons & CLIs.

Rust crate for chaotic semantic memory - echo state networks and hyperdimensional vectors.

Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor, and Codex.

Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.

An independent .NET implementation of a Neo4j-backed memory provider for AI agents. Persistent graph-native memory for Microsoft Agent Framework, with GraphRAG interoperability for Neo4j.

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

The Linux of AI - an open, federated, self-hosted AI operating system. Humans, AI agents, and local LLMs share apps, knowledge, and capabilities on nodes you own. MIT.

Persistent memory for AI coding agents

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Repository-native operating context and dynamic control for coding agents: continuity, reusable procedures and current constraints across sessions. Rust, Python and TypeScript.

StateSet iCommerce

OpenCode plugin that gives coding agents persistent memory using local vector database

Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.

Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust

Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents

⚠️ DEPRECATED — Use adaptive-memory-multi-model-router instead

memory for the people of pi (with help of hindsight)

Universal memory runtime for AI agents

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.