memory

Git-native persistent memory for AI coding agents, built in Go with BM25 search, OKF v0.2 support, and an embedded MCP server for local project knowledge.

Taurus is a multi-agent AI orchestration platform for building hierarchical agent teams with persistent memory, isolated containers, schedules, and a REST API.

Open-source shared memory layer for multi-agent systems, built around signed, cite-able facts that can be read without an account and integrated via MCP, Python, TypeScript, or REST.

Recall is a local-first memory tool for Claude Code that logs sessions and generates a compact project summary offline, without sending data to an API.

Bae is an AI companion app focused on persistent memory and personalized relationship progression. Visitors can pick an archetype, customize the companion’s look and voice, and start chatting without login, with a free tier and paid Pro plan described on the page.

Local-first code intelligence for Claude Code that adds structural graph search, semantic memory, cross-project links, MCP integration, and automated hooks for coding workflows.

Hivemind is a shared brain for coding agents that captures traces, turns repeated patterns into reusable skills, and syncs them across a team. The repo shows installation commands, supported assistants, commands, and troubleshooting notes.

Self-hostable MCP server that collects memories from coding agents and regenerates shared AGENTS.md-style context for the next session.

Amnitex is a local, lossless memory layer for MCP-capable AI coding assistants. It installs as a CLI, exposes tools like search, recall, remember, and list keys, and is designed to work across clients such as Claude Desktop, Cursor, Cline, Continue, and Zed.

A self-hosted, local-first chat workspace for OpenAI-compatible models with built-in MCP tools, web search, and long-term memory.

A local-first, self-hosted home assistant that runs a local LLM as a single brain for Home Assistant, voice, memory, reminders, media control, and other scoped tools.

Raidho is an open-source coding agent that separates planning and execution across different model providers and adds durable VSA-based memory across runs. The repo includes install steps, provider options, CLI usage, and benchmark evidence.

An open-source Python support agent that uses SynapCores as the agent brain for memory, retrieval, semantic tool routing, and generation. The repo includes a quick start, local Docker setup, example commands, and a traced demo of the agent loop.

Production LLM infrastructure for building and monitoring AI agents, with model routing across 200+ models, output validation, observability, evals, governance, RAG, memory, and cost controls.

Local memory and skill layer for coding agents that records procedures, reinforces useful patterns over time, and keeps provenance and trust tied to each memory.

A Linux desktop app for managing multiple AI helpers with separate roles, memory, provider connections, and isolated computer workspaces.

KHMS is a file-based long-term memory system for LLM agents, built around immutable markdown cards in a git repository with YAML frontmatter, hook-based recall, and a propose → review → approve flow.

A local-first MCP server and companion CLI/TUI for giving AI agents a user-owned self model and scoped memory. It stores facets and audit events locally, supports approval-gated writes, and includes export/import for portability.

Rudi is a Python tool for LLM memory management that replaces a growing chat transcript with a causal dependency graph, aiming to keep token usage flat across long sessions. The README shows benchmarking results, fold behavior, and example usage with get_slice, store_decisions, and run_turn.

An associative memory database that stores facts in plain language and recalls them by meaning. It ships as a Rust core with optional SQLite, encryption, and HTTP server features, plus examples and API docs.

A local-first AI memory engine for asking questions over selected files on your computer using Ollama, embeddings, and a custom vector database.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

A cognitive memory engine for AI agents with temporal decay, contradiction detection, autonomous consolidation, knowledge graph support, and ANN recall via HNSW. The repo shows Rust and Python usage, MCP client setup, and a quick-start path for agents and developers.

A Claude Code plugin that learns from user corrections and successful runs, then turns them into reusable rules and playbooks stored locally.