Tools tagged with "Persistent memory"

Memvid gives AI agents persistent memory in a portable file. It's for developers who need agents to recall conversations or search documents without running a separate database server.

Remembra Relay saves coding session handoffs so developers can switch assistants or resume a project on another machine without reconstructing its progress. The next agent receives a brief of completed work, unfinished tasks and failing checks.

LibreChat is a self-hosted ChatGPT alternative for people and teams who want to use different AI providers in one chat workspace. It lets you switch models while keeping conversations in the same interface.

Agentlas OS is an open-source AI agent framework for projects that need specialist teams and shared project context. It runs on macOS, Windows and Linux, with local document indexing, semantic search and memory retrieval. You supply the model. Using a cloud model sends requests to that provider and may incur charges.

Reverse Skill gives AI coding agents workflows for reverse engineering, authorized penetration testing and CTF challenges. It's for security researchers who want their agent to select an analysis method and work with the tools available on their machine.

OpenClaw.NET is a self-hosted AI agent runtime for a personal assistant or a shared team gateway. It's an independent .NET implementation inspired by OpenClaw, with compatibility for supported parts of that ecosystem.

WeKnora is a self-hosted AI knowledge platform for teams that want to query documents, carry out tasks using them and organize them into a wiki. These functions share the same knowledge bases.

PersonalClaw is a self-hosted AI agent for one person who wants chat, ongoing tasks and personal knowledge in one web dashboard. It runs on Linux and macOS, with Docker support that also covers Windows. It's open source under MIT and is currently pre-1.0, with breaking changes expected. A one-time download supplies a tiny CPU model for offline chat without tools. Autonomous tool work needs your own Ollama model or a provider app.

CLODEx IDE is a desktop AI coding assistant for developers working on changes across multiple sessions. It keeps task history and workspace context across restarts, so you can return to unfinished work without rebuilding the task from chat messages.

Memmy Agent is a local memory hub for people who switch between AI assistants and want earlier decisions and project context available in the next conversation. It stores personal memory on your device by default. Direct agent tasks support your own credentials for a chosen model API. Model processing depends on the configured service or provider.

KADATH is a self-hosted AI agent runtime for developers and researchers comparing agents against a measurable goal. It runs successive generations of agents and selects stronger approaches, but model calls require OpenAI's cloud API, an API key and internet access.

Mastra is a TypeScript framework for developers building self-hosted AI agents and applications with local models through LM Studio. It supports gpt-oss, Qwen3 and DeepSeek through an OpenAI-compatible model server. The framework can also call OpenAI, Anthropic and Gemini, which send model requests to those remote providers.

EverOS is a Python library and memory runtime for developers building agents that need context across sessions and applications. It keeps conversations, files and task histories in readable Markdown that you can edit and version with Git.

Jean is a desktop and self-hosted workspace for developers running coding agents across multiple projects. Repositories, terminals and git operations run on your computer or server, while the connected agents use your own subscriptions or API access. With Claude Code’s standard cloud connection, prompts and model responses go to its remote provider.

Leon is a personal AI assistant for people who want to automate tasks on their own computer or server. Its skills let you add actions suited to your needs.

M Flow is a self-hosted memory engine for developers whose AI agents need to recall past conversations and work preferences. It runs in Python or Docker and supports Ollama for local model use, alongside providers such as OpenAI and Anthropic. Choosing a cloud provider sends model requests to that service.

Memind gives AI agents long-term memory for projects, user preferences and past tasks. Developers can use it to carry context between sessions while keeping links to the material each memory came from.

Shinkai lets people build AI agents to automate tasks without writing code. Its desktop app can run agents entirely offline with local models, including workflows that handle sensitive data.

Letta is an AI agent platform whose App Server can run locally or on a self-hosted server. It's for people building assistants that retain context between conversations and use that memory in later interactions. Local agents can use Ollama or LM Studio with agent state and the model endpoint on your machine. Cloud model connections use remote providers.

Assistant is a self-hosted AI agent for people who want to delegate work by email and receive the results in their inbox. It uses a dedicated mailbox, separate from your personal email, and also accepts tasks through a browser workspace or dashboard. You control how much autonomy it has.

Claude Command Center helps developers keep track of coding agents working across multiple projects. It finds sessions launched in a terminal as well as through the dashboard, and agents keep running when you close it.

CopilotKit is a self-hostable SDK for developers putting AI agents inside their apps. Its open-source SDK uses MIT, and its enterprise runtime and Intelligence platform can also run on your infrastructure. Copilot Cloud provides managed hosting; where model requests go depends on the agent backend you connect.

Off Grid AI is a local AI app for people who want chat, document analysis and media tools on their own phone or computer. Downloaded models work offline, and the core app doesn't require an account.

Skales is an AI agent for people who want help with files, browsing, email and coding on their own devices. It can keep working on a goal after you close the chat and resume unfinished goals after a restart.

Clippinator is a Python AI coding assistant that runs on your machine while its agents use GPT-4 through OpenAI's cloud API. It's for developers who want to delegate project work and review the results as it proceeds. It requires an OpenAI API key and internet access, so model processing happens in the cloud rather than on your hardware.

sage-wiki turns a document collection into a linked wiki and knowledge graph for researchers, teams, and AI agents that need reusable knowledge across tasks.

Open Science Desktop brings research agents, notebooks and project files into one workbench for researchers who want to inspect the work behind an AI-generated result. Agents can carry a research topic through literature review, experiments, analysis and manuscript writing.

PocketPaw is a self-hosted AI agent for people who want an assistant to write code, manage files and act on websites from their own computer or server.

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.

Vexa is a meeting bot and transcription API for developers adding meeting features to products and teams connecting calls to AI agents. Its bots join Google Meet, Microsoft Teams and Zoom to capture the conversation.

DeskcommCRM is a self-hosted CRM for businesses selling through WhatsApp. Its AI agents handle customer conversations, qualify leads and support sales within the CRM.

AIRecon automates penetration testing and bug bounty reconnaissance for security testers. It guides an assessment through reconnaissance, analysis, exploitation and reporting, with a terminal interface for following the agent's work.

DSH AgentTeams coordinates AI agents inside DeepSeek Harness for coding, research and review tasks. A lead agent assigns work to specialists and combines their results, while you can review the proposed team before execution.