Agent memory

A self-hosted code context engine that indexes Git repositories with tree-sitter and exposes them as MCP tools so AI coding assistants in any editor can search versioned, symbol-aware code context.

• MCP servers
• Agent memory

An open-source, self-hosted knowledge backend that gives AI agents persistent, searchable memory over uploaded documents or existing storage, through an MCP server, REST API, or CLI, built on .NET.

• Agent memory
• RAG

Shared, reviewable memory infrastructure for coding agents: an organization publishes Markdown guidance that projects subscribe to, agents retrieve it while working, and any agent-proposed changes need human review before publishing.

• Agent memory

A tool that adds persistent memory, tree-sitter code intelligence, and multi-agent orchestration to AI coding assistants such as Claude Code, OpenCode, and Codex CLI.

• Agent skills
• Agent memory

A lightweight, embeddable vector database and multimodal AI memory engine built for edge devices such as Raspberry Pi and NVIDIA Jetson, combining vector search, graph relationships, and offline RAG in one process.

• Agent memory
• Databases

A single-binary Rust database purpose-built for AI agent workloads, combining a temporal knowledge graph, a relational table engine, and sandboxed WASM agents behind one query language.

• Agent memory
• Databases

An MCP server that gives AI coding assistants long-term memory across sessions and clients, storing architecture decisions and preferences once and recalling them through six retrieval strategies.

• MCP servers
• Agent memory

A production-grade Python framework for a team's own AI agent that lives inside chat platforms such as Feishu, with tiered persistent memory, a hook-driven architecture, and separated compute and storage.

• Agent frameworks
• Agent memory

A plugin for the pi coding agent that indexes and semantically searches a developer's own past coding sessions, working immediately with zero-configuration keyword search and adding hybrid semantic search once an embedding provider is configured.

• Agent skills
• Agent memory

An MCP server that fuses keyword search, vector embeddings, directory-level summaries, and knowledge-graph expansion into one retrieval tool, giving Claude Code, Copilot, and Cursor a structural understanding of a codebase beyond plain grep.

• MCP servers
• Agent memory

A self-hosted cognitive engine that plugs into any language model to give it persistent, tiered memory, a background self-improvement loop, and a runtime self-monitoring layer that watches for and corrects degraded output.

• Agent memory
• AI evals

A persistent memory system for AI agents, backed by SQLite, that combines full-text, trigram, and embedding search across four recall layers, with nightly consolidation, contradiction detection, and encrypted storage for secrets it is given.

• Agent memory

A self-hosted, privacy-focused retrieval-augmented assistant, written in C++, that indexes a codebase locally and answers questions about it using local or cloud language models instead of a paid, cloud-only coding assistant subscription.

• Agent memory
• RAG

An Unraid Community Applications template and Docker image that bundles Mem0's OpenMemory memory layer with its Qdrant vector store, API, and dashboard into one self-hosted container for homelab use.

• Agent memory
• Containers

A command-line tool that reverse engineers a codebase into layered documentation, per-file summaries, per-directory overviews, and runtime-specific entry points, so AI coding assistants understand a project from the first message.

• Agent memory
• Documentation tools

A cognitive memory system for AI agents that projects semantic embeddings into a high-dimensional phase space to give agents persistent, continuous episodic memory at constant cost, instead of growing linearly with context.

• Agent memory

A personal knowledge base that stores markdown and YAML sources on disk and answers queries with ranked, cited context blocks, following a documented pattern for grounding AI assistants in a person's own notes.

• Agent memory
• RAG

A local, GPU-accelerated code search toolkit for AI coding agents that combines grep-style, semantic, and graph-based retrieval to cut tool calls and cost compared with plain grep and file reads.

• Agent memory
• RAG

A plugin for the OpenClaw AI assistant that adds background autonomous thinking, persistent memory, and self-improvement, so the assistant investigates problems and shares findings without being prompted.

• Agent skills
• Agent memory

A cognitive memory engine for AI agents, written in pure Go, that extracts memories from conversations, builds a knowledge graph of entities and relationships, and decays or consolidates memories over time.

• Agent memory

An embedded database for AI agent memory that unifies relational storage, graph traversal and vector similarity search under one set of transactions, replacing a typical stack of SQLite plus a separate vector store.

• Agent memory
• Databases

A filesystem-native vector database built around plain Markdown files, offering hybrid semantic and lexical search with no server or container, aimed at AI agent memory and knowledge bases.

• Agent memory
• Databases

A local, on-device MCP server for macOS that captures everything you have seen, read, typed and heard across your desktop through on-screen OCR, so any connected agent can recall your recent activity.

• MCP servers
• Agent memory

A drop-in MCP server that gives Claude Code, Cursor, Windsurf and other MCP clients persistent cognitive memory, backed by a Rust engine with temporal decay, contradiction detection and a knowledge graph.

• MCP servers
• Agent memory