Agent memory

A shared, team-level memory hub for AI agents that turns conversations, documents and code into reusable memory assets, shared across agents and frameworks through one proxy.

• Agent memory

A distributed, graph-based issue tracker for AI coding agents, built on Dolt, that replaces markdown task lists with a dependency-aware graph agents can query and update.

• Agent memory

Persistent memory for AI coding agents such as Claude Code, Cursor, Codex and Gemini CLI, so an agent keeps a project's context across sessions instead of being re-briefed each time.

• Agent memory

A memory and context engine for AI applications that extracts facts from conversations, maintains user profiles, and combines retrieval-augmented generation with memory in a single API.

• Agent memory
• RAG

An open-source memory platform that turns documents, code, and conversations into a self-hosted knowledge graph so AI agents can search and reuse what they have learned across sessions.

• Agent memory
• Databases

An open-source framework for building temporal knowledge graphs for AI agents, where each stored fact carries a validity window recording when it became true and when it was superseded.

• Agent memory

A local, incrementally updated code knowledge graph that serves AI coding tools only the files relevant to a change, over MCP or a CLI, instead of having them re-read large parts of the codebase.

• Agent memory

An agent memory system built to let agents learn from experience over time, rather than only recall past conversations, reporting strong results on a long-term conversational memory benchmark.

• Agent memory

An open-source context database for AI agents that organizes knowledge, memory and skills as a browsable virtual filesystem instead of an opaque vector index.

• Agent memory

codebase-memory-mcp is a native MCP server that indexes a codebase into a persistent knowledge graph in milliseconds, giving a coding agent structural queries instead of repeated grep and file-read cycles.

• MCP servers
• Agent memory

A tool that indexes a codebase into a knowledge graph of dependencies, call chains and execution flow, then exposes it to AI coding agents through MCP.

• Agent memory

MemPalace is a local-first memory system for AI agents that stores conversation history verbatim and retrieves it with semantic search, without summarizing or paraphrasing what was said.

• Agent memory

Mem0 is a memory layer for AI agents that stores user, session and agent-level facts so an assistant keeps context and personalization across conversations, available as a library, a self-hosted server, or a managed cloud platform.

• Agent memory

CodeGraph is a locally indexed, auto-syncing code knowledge graph that gives coding agents such as Claude Code, Cursor and Copilot structural context with fewer tokens and fewer tool calls than repeated file reads.

• Agent memory

Headroom compresses tool outputs, logs, RAG chunks and files locally before they reach an LLM, reducing tokens for coding agents and cutting JSON payloads by 60 to 95 percent while keeping the same answers.

• Agent memory
• CLI tools

Understand Anything is a Claude Code plugin that analyzes a codebase with a multi-agent pipeline and turns it into an interactive knowledge graph of files, functions, classes and dependencies.

• Agent memory

A persistent memory system for AI coding agents that captures what an agent does during a session, compresses it into semantic summaries, and injects relevant context back into future sessions.

• Agent memory

A command-line tool and coding-agent skill that parses a codebase, its docs, PDFs and configuration files into a local knowledge graph that can be queried, browsed or explained instead of grepped.

• Agent memory