Learning memory APIs
Retain observations, Recall relevant memories, and Reflect on experience through SDKs, MCP, or HTTP. Extraction, entity linking, four-way retrieval, and reranking are handled behind the interfaces.
Hindsight
Hindsight is Vectorize's open-source agent memory for coding agents, assistants, and AI apps—store experience, recall context, and learn across sessions.
Agent memory that learns from experience
Hindsight is an open-source agent-memory system from Vectorize. It stores observations from agent interactions, retrieves relevant context across sessions, and reflects on accumulated experience to form consolidated knowledge. The goal is to give agents persistent, per-user memory that can improve their responses and decisions over time rather than relying only on retrieval of isolated facts.
Developers can run Hindsight on their own infrastructure with Docker, use the managed Hindsight Cloud service, or choose Enterprise deployment in Vectorize's cloud, a private cloud, a customer-owned public-cloud account, or on premises. Applications connect through Python, TypeScript, or Go SDKs, MCP, or plain HTTP; coding agents, personal agents, and custom applications are supported by the documented integrations.
Core capabilities
Per-user, cross-session memory
Each user can have persistent context containing preferences, history, and decisions, while context remains available across separate sessions.
Experience-based learning
A reflection layer consolidates individual facts into reusable knowledge and mental models, allowing recurring patterns and mistakes to influence later responses.
Model-agnostic memory layer
Hindsight is designed to work independently of a specific language model, so applications can change LLMs without discarding the memory they have accumulated.
Agent integrations
Coding agents can be installed with one command across more than 20 listed harnesses, with per-repository memory built from Git history and prior sessions. Hermes and OpenClaw can also use Hindsight as their memory provider.
Self-hosted and large-scale storage
The open-source edition runs on Postgres, while Enterprise includes Memlake, a Rust storage engine for object storage designed for very large memory banks and four kinds of search over one copy of each memory.
Practical use cases
Repository-aware coding agents
Install Hindsight across supported coding-agent harnesses so each repository can retain Git history and prior-session context. This gives the agent project-specific memory while work continues across tasks.
Personal assistants with continuity
Give a personal agent persistent recall before it answers and retention after each turn. The documented Hermes and OpenClaw integrations are designed for this conversational workflow.
Custom agent applications
Connect an existing agent or application through an SDK, MCP, or HTTP and use Retain, Recall, and Reflect to preserve user preferences, retrieve relevant history, and consolidate recurring patterns.
Enterprise and regulated deployments
Run Hindsight in a private cloud, customer-owned cloud account, or on-premises environment when an organization needs single-tenant isolation, private networking, identity controls, auditability, or contracted support.
Large, persistent memory banks
Use Memlake when continuously accumulating agent memory exceeds the intended operating range of a conventional Postgres-backed deployment. It is designed for large memory banks on object storage and can be deployed across the Enterprise options.
Pros and Cons
Pros
- MIT-licensed self-hosted edition with Docker deployment and no stated usage limits or telemetry.
- Retain, Recall, and Reflect provide a complete workflow for storing memories, retrieving context, and synthesizing patterns.
- Supports per-user and cross-session memory, model-agnostic operation, and integrations for coding agents, personal agents, and custom applications.
- Multiple operating models are available, from self-managed Postgres to managed Cloud and Enterprise deployments with private networking and organizational controls.
- Enterprise Memlake uses object storage and is designed for memory volumes that grow into the billions, with durable writes and four search modes over one copy of each memory.
Cons
- The most advanced deployment, security, support, and large-scale storage capabilities are part of Enterprise rather than the basic self-hosted setup.
- Memlake is intended for very large or continuously growing memory banks; the source notes that Postgres remains a good fit for smaller banks, so storage choice requires workload evaluation.
FAQ
How can Hindsight be deployed?
Hindsight is an open-source agent-memory system that can be run on your own infrastructure with Docker. The self-hosted edition is MIT licensed, has no usage limits or telemetry according to the pricing FAQ, and includes the full learning system, SDKs, REST API, and MCP server.
What is the difference between self-hosted Hindsight and Hindsight Cloud?
Hindsight Cloud is a managed, pay-as-you-go service. Vectorize operates the infrastructure, scaling, backups, and updates; billing is based on token usage or fixed-workload operations rather than seats, and free credits are available to get started.
How do applications connect to Hindsight?
The product exposes Retain, Recall, and Reflect operations through Python, TypeScript, and Go SDKs, MCP, or plain HTTP. The system handles extraction, entity linking, retrieval, and reranking behind these interfaces.
What deployment options are available for organizations?
Enterprise deployments can run as Hindsight Cloud with enterprise features, in a dedicated private cloud, in a customer-owned AWS, Google Cloud, or Azure account, or on the customer's Kubernetes infrastructure, including air-gapped environments.
When is Hindsight Enterprise appropriate?
Hindsight Enterprise adds controls such as SSO, enforced MFA, Memory Defense, data-privacy workflows, audit logs, webhooks and SIEM integration, private networking, single-tenant deployment options, and contracted support. Enterprise pricing is handled through sales.
Quick Facts
- Product category
- Open-source agent memory and AI infrastructure
- Developer
- Vectorize
- Self-hosting
- Hindsight 1.0, MIT licensed, deployable with Docker
- Interfaces
- Python, TypeScript, and Go SDKs; MCP; REST or plain HTTP
- Managed option
- Hindsight Cloud, pay-as-you-go with free starting credits
- Enterprise storage
- Hindsight Memlake on S3, Google Cloud Storage, Azure Blob Storage, and S3-compatible stores
Hindsight Alternatives
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ArtDeck
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GitBot
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Codex Plugins
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