Memory API / platform

Memory and context engine with an app, API and MCP; hosted, with a documented fully-local mode.

Agent memory that learns: self-hosted server with per-bank MCP endpoints and native coding-agent installers.

Memory library and service for stateful agents, with a hosted MCP at mcp.honcho.dev and self-hosting.

Hosted context layer for agents (Zep Cloud). The GitHub repo holds examples and integrations, not the service.

Context database for agents from Volcengine that unifies agent memory, knowledge retrieval and skills.

Local-first, Markdown-native memory layer for agents, with a cloud option and an MCP package (everos-mcp).

LLM-agnostic memory layer turning agent execution into structured persistent state; hosted MCP for coding agents.

Universal memory layer for agents with a native MCP server and Python client.

Widely used memory layer for AI agents and apps: Python/TS SDKs, hosted platform and a self-hosted server.

User-profile-based long-term memory for chatbot apps, with an MCP server in src/mcp.

Redis's managed memory layer for agents (part of Redis Iris), with a benchmark harness in the repo.

Predictive memory layer for agents on MongoDB, Qdrant and Neo4j with caching, custom schemas and GraphQL.