Hebbrix
Outcome-memory layer for AI agents with an OpenAI-compatible API.
At a glance
Free + paid · Source review 2026-11-04- Price & billing
Free $0/month verified: 1000 credits per month. Paid tiers are page observations in $ without a named currency: Starter $19, Pro $99, Scale $399 per month.
- Free allowance
Free $0/month verified: 1000 credits per month.
- Best suited to
Teams running agents in production whose agents repeat dead ends, since Hebbrix surfaces what led to good results rather than only similar text.; Developers who want a one-line drop-in, pointing an existing OpenAI client at the Hebbrix API base URL with no migration or rewrite.; Teams that want memory to stay portable across models, with export of every memory and the knowledge graph at any time on any plan.
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Teams running agents in production whose agents repeat dead ends, since Hebbrix surfaces what led to good results rather than only similar text.; Developers who want a one-line drop-in, pointing an existing OpenAI client at the Hebbrix API base URL with no migration or rewrite.; Teams that want memory to stay portable across models, with export of every memory and the knowledge graph at any time on any plan.
Limits and trade-offs
Free and Starter users who want overage billing, since memory writes pause until the next cycle on Free and Starter while reads keep working, and overage billing is a Pro and Scale option.; Teams that want to bring their own model key on the free tier, since bringing an Anthropic or OpenAI key is presented on Starter and above.; Users who expect missing feedback to count as failure, since Hebbrix explicitly does not treat missing feedback as failure and nothing is silently deleted simply because no outcome arrived.
Plans and free allowances
Free $0/month verified: 1000 credits per month. Paid tiers are page observations in $ without a named currency: Starter $19, Pro $99, Scale $399 per month.
Evidence
Official homepage ↗ (reviewed 2026-11-04), Official pricing page ↗ (reviewed 2026-11-04)
Official published documentation reviewed; not a product test
Dates: Last reviewed 2026-11-04. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Hebbrix
Hebbrix is a memory layer for AI agents built around outcome memory: instead of retrieving only what sounds related, it keeps what actually worked, updating tenant-scoped evidence from reported outcomes, with a drop-in OpenAI-compatible API, a knowledge graph, and memory decay, priced from a free tier of 1,000 credits a month.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Hebbrix
- Teams running agents in production whose agents repeat dead ends, since Hebbrix surfaces what led to good results rather than only similar text.
- Developers who want a one-line drop-in, pointing an existing OpenAI client at the Hebbrix API base URL with no migration or rewrite.
- Teams that want memory to stay portable across models, with export of every memory and the knowledge graph at any time on any plan.
When to choose something else
- Free and Starter users who want overage billing, since memory writes pause until the next cycle on Free and Starter while reads keep working, and overage billing is a Pro and Scale option.
- Teams that want to bring their own model key on the free tier, since bringing an Anthropic or OpenAI key is presented on Starter and above.
- Users who expect missing feedback to count as failure, since Hebbrix explicitly does not treat missing feedback as failure and nothing is silently deleted simply because no outcome arrived.
A practical starting workflow
- Point an existing OpenAI client at the Hebbrix API with one changed line and an API key.
- Let the agent act using memory retrieved and injected into context automatically, then report outcomes such as delayed success, failure, a business metric, or a correction against the original decision receipt.
- Let Hebbrix update tenant-scoped posterior evidence so the next decision uses measured outcomes, uncertainty, and hard constraints.
Check before committing
- Paid plan amounts are shown in $ without a named currency, so no paid-tier charge fact is recorded; only the Free tier $0 monthly allowance is a structured fact.
- The guessed FAQ path returns a page-not-found page, so the FAQ answers below are drawn from the pricing page FAQ section and the homepage, not a separate FAQ page.
Common questions
What exactly counts as a credit?
Credits are normalized usage units: operations have documented credit weights, while managed model calls also track token and model usage, and the dashboard shows both quota and usage.
What happens if I go over my plan?
On Free and Starter, memory writes pause until the next cycle and reads keep working; on Pro and Scale, overage billing can be turned on so use is never interrupted and only what is used is paid for.
Can I bring my own model?
Yes, on Starter and above: save an Anthropic or OpenAI API key in the dashboard, after which every model call Hebbrix makes for the account runs on that key and is billed by the provider, while embeddings and reranking always run on Hebbrix infrastructure.
Is my memory portable if I leave?
Always: every memory and the knowledge graph can be exported at any time, on any plan, since memory is portable, auditable, and deletable.
Compare approaches for this task
- AgentHub — A platform to build and host AI automations with pre-built workflows.
- AIOProductOS — Product teams that want to build what pays, since the platform ties each customer record to feedback, revenue, work and code.; Companies that need enterprise controls, since the pricing page highlights EU and US data residency, BYOK encryption, SAML/SSO on Pro and 150+ compliance controls.
Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.