Agent memory

A command-line control plane that installs, authenticates, diagnoses and connects the XMemo memory service across editors, CLIs and autonomous AI agents through a hosted or local MCP server.

• Agent memory
• CLI tools

A self-hosted MCP server that gives AI agents and teams adaptive long-term memory beyond simple RAG, combining hybrid semantic and keyword search with a neural memory graph that strengthens connections between related memories as they are used.

• MCP servers
• Agent memory

A token-native knowledge base for LLM agent memory that keeps storage, indexing, search and graph traversal entirely in discrete token-ID space, decoding text only at the final retrieval step, avoiding embedding APIs and vector databases altogether.

• Agent memory
• RAG

A memory layer for AI assistants that tracks what a user said, when, and whether it still lines up with what they are saying now, buildable as a bot's memory backend, a standalone chat app, a Discord bot, a REST API or an MCP server for Claude Code.

• Agent memory

A local-first, auditable memory control plane for AI agents that records exact host-observed text and verifiable execution evidence, authorizing and scoping what gets stored, injected, corrected or deleted, with integrations for OpenClaw, MCP, Pydantic AI and LangChain/LangGraph.

• Agent memory

A starter kit of step-by-step instructions, not code, for building a shared program-memory layer for AI agents using Claude Code, native MCP integrations and git, covering the pull, map and loop levels of the architecture.

• Agent memory
• Tutorials

An OpenCode plugin that gives coding agents persistent memory using a local SQLite and usearch vector database, auto-capturing facts from conversations and exposing search, profile and list operations as an agent tool, with no cloud service required.

• Agent skills
• Agent memory

A fast, embedded semantic vector database written in C/C++ that stores vectors and text metadata as memory-mapped flat files, with HNSW approximate nearest-neighbor search, timestamp-range filtering, and adapters for LangChain, LlamaIndex and Claude Code via MCP.

• Agent memory
• Databases

A Postgres-backed vector memory layer for AI agents, using a local BERT model for embedding search with no LLM calls in the hot path, distributed as a plugin for the hermes-agent framework and as a standalone MCP server.

• Agent memory
• Databases

A local memory layer for AI agents that stores everything in a single SQLite file, tracks when facts change without deleting old versions, and exposes six typed tools through a one-command MCP server.

• Agent memory

A local memory tool for coding agents that indexes shell command history with exit codes, git commit history down to the diff, and project docs into a local SQLite database, then serves back a ranked, token-budgeted slice on demand.

• Agent memory

A markdown-first, long-term memory tool for AI coding agents that indexes your notes, documents, and code with hybrid keyword and semantic search, exposed to any agent through MCP.

• MCP servers
• Agent memory

An MCP server that gives AI coding assistants long-term, on-device memory inside an IDE, backed by the Kuzu graph database with semantic vector search, and integrated with VS Code, Cursor, and Windsurf.

• MCP servers
• Agent memory

A companion robot project for the DeepLearning.AI short course on building AI assistants with on-device memory, using a camera and microphone to recognize objects, learn their names by voice, and recall when and where it saw them, entirely on the device.

• Agent memory
• Tutorials

An MCP server and CLI that hands off a coding-agent session to the next one by building a brief from git facts and test results rather than trusting the previous agent's own summary.

• Coding agents
• Agent memory

An open-source cognitive architecture, written mostly in Python with an optional Rust core, that models perception, memory, and causal reasoning without routing every step through a large language model, meant to run alongside an LLM agent such as Hermes.

• Agent frameworks
• Agent memory

A local-first framework for building a persistent AI companion, or 'digital lifeform,' whose personality, memory, and permitted actions are stored as auditable, structured files rather than scattered prompts and caches.

• Agent frameworks
• Agent memory

A memory engine for AI agents written in Java, storing working, episodic, semantic, and procedural memories with decay and consolidation, and retrieving them through fused semantic and SIMD-accelerated hybrid search.

• MCP servers
• Agent memory

A self-hosted, memory-native AI agent framework with a cross-platform app GUI, designed to run continuously and build up its own long-term memory over time.

• Agent frameworks
• Agent memory

A local tool that compiles coding-agent sessions, folders and repositories into self-describing SQLite cells an agent can query by SQL, keyword or meaning through MCP.

• Agent memory
• RAG

An orchestration and organizational-memory layer for multi-agent systems, implementing the Agent Message Transfer Protocol for addressing and delivery between agents.

• Agent frameworks
• Agent memory

Deployment configuration for self-hosting Dakera, an AI agent memory server that combines vector search, hybrid BM25 and HNSW retrieval, knowledge graphs and session management in a single Rust binary, covering Docker Compose, Kubernetes and Helm.

• Agent memory
• Containers

A local-first, self-hosted personal AI agent designed to stay useful across projects, devices, sessions and restarts, rather than behave like a one-shot chatbot.

• Agent frameworks
• Agent memory

A lightweight cross-session memory system for AI agents where every stored memory carries a receipt to its exact source text, so it can be corrected or forgotten.

• Agent memory