# Mnemix

> Mnemix is the memory + real-world enrichment API for AI voice agents. Same-number caller memory and available enrichment help agents start informed, with sub-300ms voice recall as a design target. Voice-first, API-native. Built for Vapi, Retell, Bland, LiveKit, and Twilio, with the same memory and enrichment API available to MCP tools, Claude Code CLI workflows, and backend agents via HTTP.

Mnemix is a memory + real-world enrichment API for AI voice agents. This file is the canonical index for LLM crawlers and agent runtimes.

## Canonical positioning

- **What:** Mnemix is a memory + real-world enrichment API for AI voice agents.
- **Who:** For developers building AI voice agents on Vapi, Retell, Bland, LiveKit, or Twilio.
- **Price:** Hobby $0 (free tier). Starter, Pro, and Elite tiers — contact sales for pricing while billing is in private beta.
- **How:** For cold voice callers, call POST /v1/recall_and_enrich before the first turn; it creates the contact on miss and starts Trestle, Twilio, and Baylio enrichment. Use POST /v1/calls/end for post-call write-back and GET /v1/caller/{phone_number} for read-only caller profiles. Sub-300ms voice recall is a design target at the Cloudflare edge.
- **Wedge:** Mnemix is the memory API where callers can arrive with same-number memory and available enrichment joined to the agent's context. Real-world identity, intent, and history are shaped for voice workflows, with sub-300ms voice recall as a design target.

## Integrations

- [Bland](https://mnemix.ai/integrations/bland): Bland.ai pathway integration with pre-call enrichment and structured task memory. (Voice agent, 6 minutes)

## Comparisons

- [Mnemix vs Mem0](https://mnemix.ai/compare/mem0-vs-mnemix): Mem0's developer experience for chat is genuinely good: a memory-as-a-service layer you wrap around LangChain, CrewAI, AutoGen, or your own agent loop, with unmatched vector-store choice. The moment you swap stdin for a Vapi webhook, you're outside their lane — no phone-native entry path, no Twilio/Trestle/Baylio enrichment, and claimed/unverified LongMemEval figures include 49% independent/community replication and a 93.4% self-reported score. Choose Mnemix if you're building voice.
- [Mnemix vs Zep](https://mnemix.ai/compare/zep-vs-mnemix): Zep's bi-temporal graph is the strongest research-cited memory architecture for chat agents and Graphiti is genuinely impressive engineering. But voice is a community demo, not a first-class integration, and claimed/unverified memory benchmark figures include a 63.8% Mem0-paper measurement and a 71.2% self-reported score. Choose Mnemix if you're building voice.

## Pricing

- **Hobby** $0 free tier. SLA: Community Discord.
- **Starter** - contact hello@mnemix.ai for pricing (private beta). SLA: Email · 48h.
- **Pro** - contact hello@mnemix.ai for pricing (private beta). SLA: Email · 24h + Slack channel.
- **Elite** - contact hello@mnemix.ai for pricing (private beta). SLA: Slack DM · 4h + dedicated CSM.

## Public API surface

Voice entry (primary for voice; not deprecated):
- `POST /v1/recall_and_enrich` - Primary cold-caller voice path; recalls memory, creates unknown contacts, and starts Trestle/Twilio/Baylio enrichment.
- `POST /v1/calls/end` - Persist completed call transcripts, outcomes, and terminal memory observations.
- `GET /v1/caller/{phone_number}` - Read an existing caller profile without auto-creating a contact.

## Agent surfaces

- [agents.json](https://mnemix.ai/agents.json) - full machine-readable knowledge file
- [llms-full.txt](https://mnemix.ai/llms-full.txt) - concatenated full text for one-shot ingestion
- [openapi.json](https://mnemix.ai/.well-known/openapi.json) - public API spec
- [ai-plugin.json](https://mnemix.ai/.well-known/ai-plugin.json) - plugin manifest
- [api/agents/knowledge](https://mnemix.ai/api/agents/knowledge) - JSON knowledge endpoint

Last updated: 2026-06-24