#memory

Semantic memory for AI agents — local-first MCP server with hybrid search, governance, and consolidation

The intentional memory layer for your AI agents.

A minimal, extensible, agent-native knowledge repository that keeps shared context current and inspectable

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

Your AI chats Synced! 100% Free! Claude, ChatGPT, Gemini, Grok..! 1-click install, create your local Vault or make a fully featured USB Hub. No Ads. No E-Mail. No Trackers. No BS. Fully encrypted.

An opinionated full-stack agent harness with native memories, long running tasks, and multi-agent relay

Your backlog is your agent's memory

Agentic engineering supersystem — one CLI to run the full /mavis-ship chain. Bundles 38 curated integrations + 1890 skills + the v2.7.1 arsenal (orchestrate.py + catalog.py + autopilot + mavis-ship-uni + big-boss persona). MIT.

A collection of open source Rust crates from iqlusion

Providing unified trait abstractions for AI models

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End-to-end encrypted memory for AI agents — portable, yours forever.

MCP server for pūrmemo — AI conversation memory that works everywhere. Save and recall conversations across Claude Desktop, Cursor, and other MCP-compatible platforms.

The self-correcting memory layer for AI agents. Zero-dependency Python memory and MCP server. Supersede, revert, or forget a value deterministically. Verifiable erasure, witness-backed tamper-evident receipts, EU AI Act ready.

rusty_alloc is a pure-Rust, memory safe alternative to mimalloc. Cross platform combability across x86-64 linux and windows, aarch64, wasm, and RSIC-V for ESP architecture.

State-of-the-art static memory allocation for neural networks.

Yadgar (یادگار) — Persian for "memento, keepsake." A persistent memory engine for AI coding agents that survives sessions and /clears: it decays what you stop touching, promotes what recurs, filters recall to the git branch you're on, and pairs every memory with a curated wiki searched through the same ranking pipeline. Works with any MCP client.

Bitemporal memory for AI agents: deterministic contradiction resolution, provenance, and retrieval at any point in time.

Local, privacy-first RAG memory system for Claude Code

A blazing fast memoization library that is tiny but feature-rich.

A lightweight, high-performance AI/RAG workspace and autonomous agent framework implemented in Go. Inspired by the Leann RAG backend architecture

Typed building blocks for everything around your LLM call.

Dream-briefing for AI coding agents: a cognitive checkpoint at session end, a 'while you were away' briefing at session start.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

A fast and flexible allocator for no_std and WebAssembly

Persistent memory & RAG engine for AI agents — SQLite + FTS5 + embeddings, multi-stage recall, sleep maintenance, multi-host hooks

Loro enterprise agent harness for coding, governed data, and productivity work

Graph memory for AI agents: facts in, entities and cause->effect relations extracted with small open models, multi-hop recall with a cited chain. Library, HTTP/MCP service, LangChain, hosted at memory.primaxiom.ai

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under MIT license.

A lightweight, high-performance personal AI agent. Fast async core, pluggable tools, and open integration with external agent ecosystems (Claude Code, Codex, MCP). Simple to configure, easy to extend.