# Echo Memory

**Canonical:** https://apis.io/providers/echo-mem-com/  
**Website:** https://echo-mem.com/  
**APIs profiled:** 1

Echo Memory provides a graph‑based memory service for AI agents, enabling persistent, searchable fact storage that can be read and written by multiple agents. The platform offers both a hosted cloud version and a self‑hosted open‑source deployment, with an Apache 2.0 licensed Python package available on PyPI. It integrates via MCP over HTTP, supports easy key‑based authentication, and includes tooling for quick start, pricing, and extensive documentation.

## Kin Score — 20.5 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 36.8 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 22.7 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Echo Memory API** — API documented at the Echo Memory docs site

## Security (3)

- **Echo Mem Com Domain Security** — TLSv1.3 · DMARC
- **Echo Mem Com Vulnerability Disclosure** — no policy recorded
- **Echo Mem Com Trust Center** — SOC 2, ISO 27001, HIPAA, GDPR

## Tags

Artificial Intelligence, Memory, Graph, Open Source, MCP

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/echo-mem-com/). Scores are computed from the provider's own public artifacts under a published rubric.