past.dev Description
past.dev provides a memory API designed for developers who are creating AI agents and applications with long-term memory capabilities. This service allows applications to submit timestamped text from various sources such as conversations, emails, meetings, support records, CRM notes, and documents, from which it extracts memories and delivers ranked results along with corresponding dates and excerpts from the original data. The API includes features for ingestion, bulk ingestion, memory recall, deletion, project and identity management, as well as audience-specific access controls and webhooks. Developers have the option to connect via JSON endpoints or secure Model Context Protocol servers, and can enhance their experience with companion plugins compatible with tools like Claude Code, Codex, Cursor, JetBrains IDEs, and Hermes Agent. As a managed cloud solution, it provides a user-friendly console for managing API keys, monitoring usage, and reviewing request logs; additionally, it offers enterprise deployments that can be hosted on a customer's AWS, Google Cloud, or Azure account. This innovative platform is particularly beneficial for software teams looking to integrate lasting, source-based memory into their AI agents and applications, thereby enhancing the overall functionality and user experience. Ultimately, past.dev aims to facilitate smarter interactions and improve knowledge retention in AI-driven systems.
past.dev Alternatives
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
Learn more
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
Learn more
Qdrant
Qdrant serves as a sophisticated vector similarity engine and database, functioning as an API service that enables the search for the closest high-dimensional vectors. By utilizing Qdrant, users can transform embeddings or neural network encoders into comprehensive applications designed for matching, searching, recommending, and far more. It also offers an OpenAPI v3 specification, which facilitates the generation of client libraries in virtually any programming language, along with pre-built clients for Python and other languages that come with enhanced features. One of its standout features is a distinct custom adaptation of the HNSW algorithm used for Approximate Nearest Neighbor Search, which allows for lightning-fast searches while enabling the application of search filters without diminishing the quality of the results. Furthermore, Qdrant supports additional payload data tied to vectors, enabling not only the storage of this payload but also the ability to filter search outcomes based on the values contained within that payload. This capability enhances the overall versatility of search operations, making it an invaluable tool for developers and data scientists alike.
Learn more
Letta
With Letta, you can create, deploy, and manage your agents on a large scale, allowing the development of production applications supported by agent microservices that utilize REST APIs. By integrating memory capabilities into your LLM services, Letta enhances their advanced reasoning skills and provides transparent long-term memory through the innovative technology powered by MemGPT. We hold the belief that the foundation of programming agents lies in the programming of memory itself. Developed by the team behind MemGPT, this platform offers self-managed memory specifically designed for LLMs. Letta's Agent Development Environment (ADE) allows you to reveal the full sequence of tool calls, reasoning processes, and decisions that contribute to the outputs generated by your agents. Unlike many systems that are limited to just prototyping, Letta is engineered by systems experts for large-scale production, ensuring that the agents you design can grow in effectiveness over time. You can easily interrogate the system, debug your agents, and refine their outputs without falling prey to the opaque, black box solutions offered by major closed AI corporations, empowering you to have complete control over your development process. Experience a new era of agent management where transparency and scalability go hand in hand.
Learn more
Pricing
Pricing Starts At:
$99/month
Pricing Information:
Pay as you go is $0/month and starts with 150,000 credits, or 400,000 credits with a work email. Additional credits start at $30 for 100,000 credits. Flex is $99/month and includes 400,000 credits, unlimited recall, five projects, and 30-day credit rollover; additional credits start at $30 for 100,000 credits. Enterprise pricing is custom and starts at 5,000,000 credits per month.
Free Version:
Yes
Company Details
Company:
past.dev
Year Founded:
2025
Headquarters:
United States
Website:
past.dev/
Media
Recommended Products
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Product Details
Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Customer Support
Online Support
past.dev Features and Options
past.dev User Reviews
Write a Review- Previous
- Next
