Vectorize vs camelAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Vectorize compared with camelAI
Detail	Vectorize	camelAI
What it does	Agent memory that learns from experience	Open-source home for AI agents
Stage	Startup	Startup
Founded	2024	2022
Based in	US	Not given
Pricing model	Freemium	Freemium
Pricing	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	camelBot: free to start, no credit card required, credit packs from $4.99. camelRun: $0.01 per agent-hour of active run time, $0.10 per GB-month for storage, tokens free on your own provider keys or at provider's price on camelAI's keys with no markup. camelCode: free plan with your own model API ke
Key features	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	Define agent model, instructions, tools and channels Open-source AI agent runtime with Docker and Postgres self-hosting AI agent history and file storage Connect tools with OpenAPI, MCP, or custom code Deploy to Slack, Discord, Telegram, GitHub, or custom apps Sandboxed code execution for agents Support for multiple AI models from Anthropic, OpenAI, OpenRouter, Amazon Bedrock Custom Discord bot building with testing before publishing
What makes it different	94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0% MIT licensed open source with no usage limits, telemetry or restrictions Reflection layer automatically builds judgment and mental models over time without manual tagging Entity resolution handles hundreds of entities with 99.5% query reduction	Thousands of agents at once without talking to sales Open source agent runtime available for self-hosting Agents survive crashes and deploys without losing history or pending work
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	68 +1 (up) since last check	58 +1 (up) since last check
Trust Flow (Majestic)	18	9
Citation Flow (Majestic)	47	36
Referring domains (Majestic)	1378	343

7 details filled in for both companies.

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