Long-Term Memory for AI Agents

OKF Agent Memory gives AI coding agents persistent project knowledge across sessions. It's for developers who want agents to retain architectural decisions and project constraints without loading the entire knowledge base into every prompt.

projectmem gives AI coding assistants a persistent record of a project's debugging history and architectural decisions. It's for developers who want agents to carry useful context between sessions and check past failures before repeating them.

AgentRQ lets people assign work to AI agents, follow their progress and answer requests for decisions from a browser, phone or desktop app. Agents run on computers you own; the task dashboard can run on your server or the hosted service.

NLM Memory collects coding conversations into one searchable store on your machine. It's for developers who switch agents or editors and need earlier reasoning to remain available when decisions change.

NVIDIA Object Oriented Agents (NOOA) is a Python framework for developers building AI agents in their own projects. It supports local models through Ollama and vLLM via LiteLLM, with Qwen3 examples for both backends. It also supports Anthropic and OpenAI models, which send requests to those remote providers.

MemOS gives AI agents persistent memory across conversations and tasks. Developers can use it for assistants that recall preferences, support history or earlier work, with on-device, self-hosted and hosted storage options.

MemSearch gives coding assistants searchable project history across sessions. It's for developers who want to recover earlier fixes, revisit design decisions or continue work in another agent.

Pi Boomerang is an extension for developers using the Pi coding agent on long autonomous tasks. It reduces the history carried into later prompts by replacing completed work with a handoff summary, while keeping file changes on disk.

ktx gives analytics agents shared metric definitions and business context before they answer questions or write SQL. It's for teams that need agents to reuse approved calculations rather than invent their own each time.

Semantica is a Python toolkit for teams building AI systems that need shared context, traceable decisions and policy checks. It connects facts and decisions to their evidence in queryable knowledge graphs.

Zep Community Edition is a self-hosted memory service for developers building AI agents and conversational assistants. It turns chat history into connected facts so an assistant can recall context across conversations and distinguish current preferences from older ones.

Tolaria is a desktop knowledge base for personal notes, company documentation, and assistant memory. It keeps your material in ordinary Markdown files that other editors and tools can read.

AgentScope is a Python framework for developers building AI agent applications on their own servers. It includes an SDK, a FastAPI backend and a web UI for applications with multiple users and separate sessions.

ai-memory keeps project context for developers who switch coding assistants or machines. It preserves unfinished work, failed approaches and open questions so the next session can pick up the task.

exxperts is a local AI agent app for people who want ongoing work to carry across conversations while deciding what the assistant remembers. Persistent workspaces called rooms keep each agent's memory, files and tools together.

ripwire helps AI coding agents find the code they need and check the effects of their edits. It's for developers who want agents to work with focused repository context instead of reading whole files.

npcpy is a Python library for developers and researchers building AI agents and applications with language models. It supports local LLM backends as well as cloud providers, so projects can choose where model requests run.

Headroom reduces the context that LLM apps and coding agents send to a model. It's for developers whose prompts fill up with repetitive tool results, logs, file contents and retrieved documents. Compression runs locally, but model requests still go to the chosen LLM provider.

Bitterbot is a personal AI agent for people who want an assistant that remembers ongoing work across conversations. It runs on your own machine and can keep working between conversations while the machine is on.

Memanto is a companion memory agent for developers whose AI assistants lose project decisions and preferences between sessions. It manages shared knowledge across tools such as Claude Code, Cursor and Codex, then briefs agents when they start work.

AgentField is a self-hosted AI agent platform for developers building services that need to coordinate tasks under shared access rules. It combines execution, identity and audit records in infrastructure you control.

OpenViking is a self-hosted context database for developers who want AI agents to retain preferences and task experience across sessions. Its open source server runs on your own machine or server, including Docker deployments. It needs embedding and vision-language models, with support for local Ollama and cloud providers such as OpenAI and Volcengine; self-hosting the database alone doesn't keep model requests local.

Reverify helps developers and reverse engineers check AI-generated claims against actual binary files and code behavior. It returns verified, refuted or inconclusive verdicts with evidence, so an assistant's proposed explanation can be checked before you rely on it.

ReMe gives AI agents lasting memory across conversations. It's for developers who want coding assistants or personal agents to retain useful facts, preferences, and procedures in files they can inspect and edit.

Alfred Black is a self-hosted AI agent for people who need help tracking messages, tasks and ongoing commitments. It runs continuously and brings related information together so you can review a concern without piecing together scattered threads.

Vidurai is a local AI memory service for developers who want their AI assistant to understand recent work without repeatedly explaining it. It tracks file changes, terminal activity and errors, then prepares a focused summary for an assistant. The background service and its stored development history stay on your machine.

Hippo Memory gives coding agents persistent memory across projects, sessions and tool changes. It's for developers who want agents to retain useful lessons and stop recalling facts that have proved wrong.

MemMachine gives developers building AI agents a way to remember earlier conversations and user preferences. Its memory persists across sessions, agents and model changes, so user history can carry over when an application switches models.

Webcmd is a browser automation tool for developers whose AI agents repeatedly work with the same websites. It keeps what agents learn locally so later tasks can use familiar workflows instead of inspecting each site from scratch.

taOS is a self-hosted AI agent platform for people who want to run assistants on their own computers and keep their conversations, files, and memory there. It brings agent management and local model access into a browser-based desktop.

Pieces builds a searchable history of your work across apps for people who need to recover earlier decisions, find research or pick up an interrupted task. It runs in the background on your computer.

gptme is an AI agent for developers and people doing data analysis or other knowledge work in their own environment. It can act on files and use installed tools, with a choice of local models or cloud providers.

Minutes is a meeting notetaker for people who want searchable records of calls, voice memos and everyday dictation on their own computer. You can read the notes in the app or let an AI assistant search the conversations you choose to share.

Atlas is a desktop workspace for developers who use coding agents across projects and want to keep the context behind their code changes. It brings agent conversations, code review and project history into one window.