Agent memory

MemSlides is a hierarchical, memory-driven agent framework for personalized presentation slides that separates persistent preferences from working memory and tool experience, editing only the smallest affected slide region during a revision instead of the whole deck.

• Agent frameworks
• Agent memory

Agent Memory Techniques is a set of 30 runnable Jupyter notebooks that teach every major approach to memory for LLM agents, from conversation buffers and vector stores through knowledge graphs and systems such as MemGPT, Mem0, Letta, Zep and Graphiti, plus production patterns.

• Agent memory
• Tutorials

LycheeMemory is a compact long-term memory framework for LLM agents that builds structured, consolidated conversational memory and retrieves it adaptively, distributed as an OpenClaw plugin, a Claude Code MCP integration, a Hermes plugin, and a Python API or HTTP MCP server.

• Agent memory

LatentMAS lets multiple AI agents collaborate by passing latent representations through a shared working memory instead of exchanging text, aiming to reduce token usage and speed up multi-step reasoning.

• Agent frameworks
• Agent memory

A local CLI toolchain that indexes months of existing coding-agent session history on a developer's machine so it can be searched, blamed to code, and cut down before feeding it back to an agent.

• Coding agents
• Agent memory

A unified terminal UI and CLI that indexes and searches local session history from more than two dozen coding agents and AI chat tools in one searchable timeline.

• Coding agents
• Agent memory

An MCP server that adds structural code navigation, persistent memory, and safer Bash command rewriting to AI coding agents, aiming to cut the tokens and time a coding task needs.

• MCP servers
• Agent memory

An enterprise AI knowledge platform that combines a multimodal document- and video-parsing engine with an ontology-driven knowledge graph, vector and graph indexing, and source-grounded retrieval.

• Agent memory
• RAG

An open standard and CLI for shared agent learning, letting AI coding agents query and contribute a structured store of prior fixes and workarounds so they stop rediscovering each other's mistakes.

• Agent memory

A set of local-first CLI and IDE extensions that capture every AI coding conversation into a searchable history, with an optional cloud sync and a command that mines saved sessions into reusable agent skills.

• Coding agents
• Agent memory

A local-first, long-term memory layer for coding agents that learns how a developer works from activity captured on their Mac and shares that context across Claude Code, Codex and Cursor.

• Agent memory

A cross-IDE knowledge engine that builds a per-repository knowledge base so an AI coding assistant such as Claude Code, Cursor, Codex, or Windsurf can answer questions about a codebase grounded in file paths and line numbers.

• Agent memory

A tool that compiles LLM-driven research into structured knowledge bases for any AI agent, capturing rough ideas, running parallel research, and promoting approved briefs into delivery projects.

• Agent memory

A code intelligence server built in Zig that gives AI coding agents a map of a repository through MCP: focused source context, symbols, callers, outlines, and dependencies, without editing files itself.

• MCP servers
• Agent memory

A seven-layer local memory system for Hermes Agent that stores structured facts, session history, and a self-curating wiki, and injects the right context back into conversations automatically.

• Agent memory

An LLM knowledge-compilation engine that reads raw documents, such as PDFs, spreadsheets and transcripts, and synthesizes them into a persistent, cross-referenced wiki stored as local Markdown files, as an alternative to RAG.

• Agent memory
• RAG

A universal AI context generator that maps a codebase into a compact, AST-based summary, saving thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex and similar tools.

• Agent memory

A persistent memory and audit-trail layer for AI trading agents, recording every trade and its outcome with a tamper-evident hash chain so an agent can recall what happened last time and why.

• Agent memory

A local-first codebase intelligence tool that gives coding agents and teams cited context from current code, git history and technical web research before they edit, review or debug.

• Agent memory
• RAG

An AI co-worker, built on the Claude Agent SDK, that runs on its own dedicated machine, keeps persistent memory across sessions, and can install software, build tools and add its own communication channels.

• Agent frameworks
• Agent memory

An official Model Context Protocol server that lets AI agents store and retrieve memories in a Qdrant vector database, acting as a semantic memory layer for LLM applications.

• MCP servers
• Agent memory

A shared intelligence runtime for AI agents that gives them persistent, multi-type memory, compressed web context and cross-agent evolution, so one agent's fix becomes another's recommendation.

• Agent memory

Shared project memory for engineers and their coding agents, stored as reviewable Markdown in the repository itself and synced through ordinary Git commits.

• Agent memory

A memory operating system for personalized AI agents, using an operating-system-style hierarchical storage architecture to keep long-term context coherent across conversations.

• Agent memory