Memory & Context
8 memory & context tools you can use instead of Memtro, 4 of them open source. Summaries come from each vendor's own site. Links checked Nov 10, 2026.
Company memory for agents: a shared memory of people, customers, decisions and promises, plus connectors to the company's systems, reached through an OpenAI-compatible API, an Anthropic Messages endpoint and an MCP server. Routes across the model keys you already hold and does not resell tokens.
At a glance
| Tool | What it does | Open source | Head to head |
|---|---|---|---|
| Cognee | Open-source agent memory platform built on graph and vector stores. | Yes | Memtro vs Cognee |
| ContextNest | Versioned markdown context vault for agents, read through a CLI or an MCP server. | Yes | Memtro vs ContextNest |
| Letta | Platform for building stateful agents that learn from experience. | Yes | Memtro vs Letta |
| Mem0 | Memory layer that lets agents learn from past interactions. | Yes | Memtro vs Mem0 |
| MemorySync | MemorySync is a memory API for AI applications: your agent writes what it learns about each user, and MemorySync returns the relevant parts later, ranked by meaning and scoped to that user. | No | Memtro vs MemorySync |
| Supermemory | Memory and continual learning engine for agents. | No | Memtro vs Supermemory |
| Tokenrip | Shared workspace your AI agents work from: files with version history, tables, tasks any agent can pick up, and pinned decisions every agent reads when it loads the workspace. Agents connect from Claude, ChatGPT, Codex, Cursor or any MCP app through a hosted MCP server, a CLI or an HTTP API, each with its own revocable key, and every change is logged with the agent that made it. | No | Memtro vs Tokenrip |
| Zep | Context layer that unifies business data, documents, and chats for agents. | No | Not compared yet |
Memory & Context
Open-source agent memory platform built on graph and vector stores.
Versioned markdown context vault for agents, read through a CLI or an MCP server.
Platform for building stateful agents that learn from experience.
Memory layer that lets agents learn from past interactions.
MemorySync is a memory API for AI applications: your agent writes what it learns about each user, and MemorySync returns the relevant parts later, ranked by meaning and scoped to that user.
Memory and continual learning engine for agents.
Shared workspace your AI agents work from: files with version history, tables, tasks any agent can pick up, and pinned decisions every agent reads when it loads the workspace. Agents connect from Claude, ChatGPT, Codex, Cursor or any MCP app through a hosted MCP server, a CLI or an HTTP API, each with its own revocable key, and every change is logged with the agent that made it.
Context layer that unifies business data, documents, and chats for agents.
FAQ
Agent Stack Directory lists 8 other memory & context tools: Cognee, ContextNest, Letta, Mem0, MemorySync, Supermemory, Tokenrip, Zep.
Yes. Among the alternatives we list, these are marked open source: Cognee, ContextNest, Letta, Mem0.
Company memory for agents: a shared memory of people, customers, decisions and promises, plus connectors to the company's systems, reached through an OpenAI-compatible API, an Anthropic Messages endpoint and an MCP server. Routes across the model keys you already hold and does not resell tokens. (Summary based on memtro.com, link checked 2026-11-10.)