memory

An embeddable AI agent library written in C with tool calling, memory, sessions, voice, streaming, structured output, and support for both cloud and local models.

Open-source memory SDK for AI agents with persistent cross-session memory, graph relationships, semantic search, and AI-powered memory processing. Offers both self-hosted and cloud modes, plus MCP support for tools like Claude Code.

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.

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.

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.

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

Local-first long-term memory engine for AI agents with MCP, HTTP API, CLI, and Python usage. The page shows installation paths, IDE integrations, ingestion sources, and a live feature set focused on durable context, retrieval, and privacy.

An essay arguing that second-person system prompts create attentional overhead and identity fragmentation in agent design, and proposing first-person initialization as an alternative.

NanoBrain is a markdown-and-git personal knowledge base framework that captures AI sessions and connected sources like Gmail, Calendar, Drive, and Slack, then distills them into a portable “second brain.”

A drop-in memory plugin for Hermes Agent that uses a pull-model episodic memory approach with real deletes and audit traces. It supports synchronous writes, trace logging, and Claude-backed summarization for on-demand recall.

A guide for exporting ChatGPT, Claude, and Gemini history into XTrace MemHub, then downloading Markdown for an Obsidian-style wiki and graph view. It explains the export flow, supported platforms, and the Markdown ZIP output.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.