Agent memory

A queryable personal knowledge base over scattered notes, docs and chat logs, using hybrid vector-plus-keyword retrieval with section-level citations and an MCP server so AI agents can use the same index.

• Agent memory
• RAG

A production-focused multi-agent runtime platform, built on FastAPI and LangGraph, that dispatches user requests through a supervisor agent to specialized subagents with session isolation, long-term memory and dynamic model switching.

• Agent frameworks
• Agent memory

A cross-language code-intelligence engine that builds a semantic graph of a codebase's functions, classes, imports and call chains, exposed through MCP tools, a VS Code extension, a JetBrains plugin and a persistent memory layer.

• MCP servers
• Agent memory

A durable, file-based long-term memory system for AI agents distributed as five packages, an SDK, a CLI, an MCP server, a Hermes adapter and a LangGraph store, with no vector database and no embeddings.

• Agent memory

A self-evolving, agentic memory layer for AI agents where facts get superseded rather than overwritten, entity profiles rebuild on demand, and recall never calls a language model, so the same question gets the same answer every time.

• Agent memory

An agent orchestration system that gives AI engineering agents persistent state outside the model, hierarchical memory, a shared communication layer and a scheduler, so work continues across sessions instead of starting over each time.

• Agent frameworks
• Agent memory

An auditable AI agent control plane with evidence-backed memory, a governed tool runtime, checkpoint-based recovery and a companion engineering tutorial, aimed at answering where a fact came from and what an agent did unattended.

• Agent frameworks
• Agent memory

An MCP server that gives multiple coding-agent clients on one machine shared vector memory, an orchestration protocol, and an agent registry so they do not duplicate work.

• MCP servers
• Agent memory

A local code search tool for developers and AI agents that combines BM25 keyword search, vector similarity and cross-encoder reranking, returning symbol-bounded results instead of whole files.

• Agent memory
• RAG

A self-hostable AI memory layer, API-compatible with Mem0, that stores conversations as searchable long-term memory using a FastAPI service in front of a Qdrant vector store.

• Agent memory

An MCP server that gives AI coding agents a shared, persistent memory backed by Postgres, so context carries over between sessions and between different agent clients.

• MCP servers
• Agent memory

A purpose-built Rust database engine for AI agent memory, combining a write-ahead log, HNSW vector search, and a knowledge graph instead of wrapping an existing database.

• Agent memory
• Databases

A memory infrastructure library for long-running AI agents that keeps identity and facts consistent across model switches, crashes, and context limits.

• Agent memory

A research framework that turns general multimodal LLMs into personalized assistants able to remember, reason over, and align with a user's traits across long-term interaction.

• Agent memory

A SQLite extension that gives AI agents persistent, searchable memory over markdown files, combining vector similarity search with full-text search and offline sync between agents.

• Agent memory
• Databases

A cross-session memory plugin for DeepSeek Harness that automatically deduplicates and merges memories in the background, freezes contradictions for the user to decide, and stores memory as local, human-editable Markdown files, no API key needed.

• Agent memory

A local-first tool that backs up and restores the memory, history and configuration Claude Code, Codex, Cursor and Gemini write on a machine, then consolidates the durable, transcript-linked lessons into shared project memory reviewed before use.

• Agent memory

An Open Knowledge Format wiki synthesized from one YouTuber's long-form catalog on agentic coding, AI engineering, RAG and memory systems, dropped next to any project so a coding agent can cite the exact video and timestamp behind an answer.

• Agent memory
• Tutorials

A memory layer for AI coding agents that indexes work across every repository a developer touches into one semantic graph, so an agent can check whether a problem was already solved elsewhere.

• Agent memory

A local, git-versioned memory system for AI coding agents that captures conversations, compiles them into durable project knowledge, and recalls context through a local MCP server, stored as plain Markdown with on-device embeddings, no database.

• Agent memory

A memory system for AI agents that stores facts, episodes and raw sentences in a three-layer graph backed by a single SQLite database by default, so agents can recall not just what a user said but how a preference or pattern changed over several sessions.

• Agent memory

A self-hosted semantic search and memory layer for AI coding assistants that indexes a codebase with local embeddings, aiming to cut context tokens by around 98 percent, installable via Docker or from source and integrated through an MCP client.

• Agent memory
• RAG

A repo-native agent that turns private office documents such as decks, spreadsheets, PDFs and emails into a local, evidence-first knowledge base, preserving structure like slide layout, table references and formatting so an AI agent's answers stay traceable to a source file.

• Agent memory
• RAG

A knowledge-graph backed platform that lets multiple AI coding agents share code understanding, plans and decisions through a central Neo4j-based knowledge base, with semantic search and MCP tool integration for Claude Code and other clients.

• Agent memory
• Databases