Per-user memory
Hindsight keeps separate memory for each user so preferences, history, and decisions do not mix across accounts.
Mémoire d’agents open source pour un contexte persistant et la récupération intersessions
Vectorize’s Hindsight is open source agent memory for applications that need persistent context instead of stateless chat. It is built to help agents remember users, retain context across sessions, and improve their responses as they encounter more conversations and tool outcomes.
The product is available in two main deployment modes: self-hosted Hindsight, which runs on your own infrastructure with a Docker command and an MIT license, and Hindsight Cloud, which is a managed service with usage-based billing. The site positions the system as model-agnostic and works with MCP-capable agents, so teams can connect it to existing workflows without tying memory to a specific LLM.
Hindsight keeps separate memory for each user so preferences, history, and decisions do not mix across accounts.
Memory persists across session boundaries, letting an agent pick up context weeks later instead of starting from scratch.
The product runs dense vector search, sparse keyword search, graph traversal, and temporal search in parallel to retrieve relevant context from multiple angles.
Results are merged with token budgets rather than top-K counts, so the prompt size stays predictable while still drawing from multiple retrieval methods.
The reflection layer synthesizes raw observations into consolidated knowledge, turning repeated experiences into reusable patterns.
Hindsight exposes remember, recall, and reflect through MCP, and also offers a Python SDK and REST API for application integration.
Add memory to an agent that supports returning users, so preferences and prior decisions follow the person across sessions.
Build workflows where a failed tool call or corrected answer becomes future learning instead of a repeated mistake.
Support agents that need to reason over changing facts, related entities, and earlier events without a manual tagging system.
Ship a managed production setup when you want scaling, backups, analytics, and collaboration features without running the infrastructure yourself.
Integrate memory into an existing agent stack through MCP, a Python SDK, or a REST API, without committing to one LLM.
Yes. The self-hosted version is MIT licensed, can be run with a single Docker command, and the pricing page says it has no usage limits, no telemetry, and no restrictions.
Self-hosted Hindsight runs on your own infrastructure, while Hindsight Cloud is a managed service. The cloud plan includes infrastructure management, scaling, backups, analytics, and collaboration features.
The product exposes remember, recall, and reflect capabilities through an MCP server, plus a Python SDK and REST API. The product page also shows an example client using retain and recall calls.
The pricing page says Hindsight Cloud uses pay-as-you-go token billing with no fixed monthly fee and no per-seat pricing. It charges separately for operations such as Retain, Recall, Reflect, Iris Extract, and Mental Model actions.
The site says it works with any MCP-capable agent and is model-agnostic, so you can swap LLMs without losing what the agent learned.
Les données de trafic sont fournies à titre indicatif uniquement.
deerflow.tech
DeerFlow est un framework open source basé sur LangChain pour créer des super-agents capables de rechercher, coder et créer avec des outils en sandbox, une mémoire et des sous-agents. Il convient aux tâches longues et multi-étapes, comme la recherche approfondie, l’analyse et la génération de contenu.
www.agentconnect.md
AgentConnect permet aux équipes d’intégrer des agents ACP comme Claude Code, Codex et Gemini CLI à Slack, Telegram, Discord et GitHub, afin qu’ils puissent prendre en charge des tâches dans les canaux où les équipes collaborent déjà. La solution est open source et auto-hébergeable, avec des rôles, des outils, une mémoire et des déclencheurs configurables pour les workflows des agents.
mem0.ai
Couche de mémoire IA pour que les agents et apps conservent le contexte entre sessions
openmemory.dev
Mem0 est une couche de mémoire IA pour les agents et les applications. Elle conserve le contexte entre les sessions, retrouve les souvenirs pertinents et personnalise les réponses pour les workflows IA en production.
livekit.io
LiveKit est une plateforme open source pour développeurs permettant de créer, déployer et observer des agents IA vocaux, vidéo et physiques en Python ou TypeScript, avec LiveKit Cloud pour la production.
agents.craft.do
Craft Agents est une application de bureau open source pour travailler avec des agents IA, en connectant modèles, API, serveurs MCP, fichiers locaux et navigateur intégré.