AI Agents & Infrastructure
Vectorize
Agent memory that learns from experience
- 0community votes
- 68DR by Ahrefs +1 (up) since last check
- 2024founded
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 29 Oct 2026.
Open source agent memory system that enables AI agents to learn from experience, recall relevant information, and improve over time through persistent per-user
What it is
Vectorize builds Hindsight, an agent memory system that enables AI agents to learn from every interaction and continuously improve their performance. Unlike traditional retrieval-only systems that simply store and retrieve facts, Hindsight uses four parallel retrieval strategies—dense vector search, sparse keyword matching, graph traversal, and temporal search—combined with a reflection layer that synthesizes experiences into consolidated knowledge.
The system maintains per-user memory across sessions, allowing context to persist for weeks or months and be instantly recalled without cold starts. It works with any LLM and integrates directly with popular coding agents, personal agents, and custom applications through SDKs, MCP servers, or REST APIs.
Vectorize offers three deployment options: self-hosted open source MIT-licensed software running on your own infrastructure with a single Docker command, Hindsight Cloud as a managed pay-as-you-go service, and Hindsight Enterprise for private cloud, BYOC, or on-premises deployments with enterprise security controls.
Systems
- Per-user persistent memory with preferences, history and decisions kept separate
- Cross-session persistence allows context to survive weeks between interactions
- Fast parallel retrieval in under 100ms through four strategies running simultaneously
- Works with any LLM without losing learned context when swapping models
- Learns from mistakes and corrects behavior on repeated problems
- Automatic pattern detection synthesizes individual facts into consolidated knowledge
- Conflict detection preserves both old and new states with timestamps when facts change
- Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
Pricing
Pricing model: Freemium
Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
Want to see what Vectorize does next? Follow them for milestones, new products and stories by email.
Vectorize metrics
Signal readout for vectorize.io: Ahrefs Domain Rating and Majestic link signals, arrows for the change since the last scan.
- 68 Domain Rating +1 (up) since last check
- 18 Trust Flow no change since last check
- 47 Citation Flow no change since last check
- 1,378 Referring domains no change since last check
- 13,991 External backlinks no change since last check
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 29 Oct 2026. Strongest signal topic: Computers/Programming/Internet (18). Majestic signal 25 Oct 2026, signal shifted 25 Oct 2026. Link signals from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Vectorize domain signal
Show the signal details
Public RDAP record, last read 10 Nov 2026, 19:29 UTC.
- Domain age 3 years
- Registered
- Expires
- Registrar Dynadot Inc
- DNSSEC Not signed
Vectorize post-launch signal
The record for Vectorize after its launch on Nexora Launch (25 October 2026), from the readings we keep.
- 68 Domain Rating (Ahrefs) +1 (up) since launch
at launch: 67 (25 Oct 2026); latest: 12 Nov 2026 - 18 Trust Flow (Majestic)
first measured 25 Oct 2026 - 1,378 Referring domains (Majestic)
first measured 25 Oct 2026
Day 18 since launch. Next receipt: day 30, 24 Nov 2026. A change here is a reading, not a claim about its cause; lots of things move these figures. Anything we do not measure is not shown.
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Quick answers
- Is Hindsight really free to self-host?
- Yes. Hindsight is MIT licensed with no usage limits, no telemetry, and no restrictions. You can run it in production on your own infrastructure at no cost.
- What is the difference between self-hosted and Hindsight Cloud?
- Self-hosted means you run Hindsight on your own servers using Docker. Hindsight Cloud is a fully managed service where Vectorize handles infrastructure, scaling, backups, and updates so you can focus on building.
- How does Hindsight Cloud pricing work?
- Hindsight Cloud is pay-as-you-go with no fixed monthly fee and no per-seat pricing. Each operation is billed per million tokens for token-driven operations or per call for fixed workload operations, with free credits to start.
- What is the difference between Hindsight Cloud and Enterprise?
- Hindsight Cloud is a shared self-serve service. Hindsight Enterprise adds enterprise security and contracted support, and runs as a dedicated single-tenant deployment in Vectorize's cloud, your own AWS, Google Cloud or Azure account, or on premises.
Vectorize has a free listing. The owner can unlock the full profile with a paid launch for $5:
- Founder story (locked)
- Milestones (locked)
- Demo video (locked)
- Dofollow website link (locked)
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