A-MEM
A-MEM: Open-source, self-hosted memory with structured notes, semantic search, and evolving metadata. Ranked #20 of 34 in AI Agent Memory Tools by our editors (6.2/10); pricing: Free plan; best for self-hosters wanting simple structured memory.
At a glance
- Editor score6.2 / 10
- PricingFree plan
- Best forSelf-hosters wanting simple structured memory
- Free planYes
- Paid fromNone
- Semantic memoryYes
- Facts checked13 Oct 2026
Where it wins
- Structured notes capture attributes, context, tags, and timestamps.
- ChromaDB indexing enables linked memories and semantic search.
- OpenAI and Ollama backends plus full memory CRUD operations.
Where it doesn't
- Self-hosted deployment puts environment management on your team.
- Installation is via a Python package from source.
- SDK language support is listed as one language.
Our verdict on A-MEM
A-MEM is an open-source memory system for developers building LLM agents that use historical experiences. It runs through self-hosted deployment on Linux, Windows, or macOS, and organizes agent memories as structured notes. Each note can include attributes, context, tags, categories, keywords, and timestamps, giving solo developers and teams a defined format for storing conversational or task history.
Its standout capability is memory organization that goes beyond simple storage. A-MEM indexes and links memories with ChromaDB, performs semantic similarity search, and can evolve notes by updating metadata and context as related memories are analyzed. The documented operations cover adding, reading, searching, updating, and deleting memories. Custom tags and categories support application-specific organization, while OpenAI and Ollama backends provide two documented LLM integration paths.
A-MEM is distributed as source code and installed as a Python package, so setup and ongoing operations remain with the deploying team. That model suits self-hosters who want control over the memory layer and are comfortable maintaining their own environment. It is less suitable for buyers seeking a hosted subscription, managed retention, or a turnkey service. Projects that need SDK support across multiple languages may also want to consider an alternative. Choose A-MEM when structured, searchable, evolving memory is the priority and self-hosting is acceptable; look elsewhere when managed delivery is essential.
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A-MEM pricing
A-MEM fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Semantic memory | Yes |
| Episodic memory | Not verified |
| User/profile memory | Not verified |
| Graph-based memory | Yes |
| Deployment options | Self_hosted |
| SDK languages | 1 |
| Retention policy | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux, Windows, macOS |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: OpenAI, Ollama, ChromaDB |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 13 Oct 2026 |
A-MEM integrations
A-MEM lists 3 integrations on its own site.
- OpenAI
- Ollama
- ChromaDB
Alternatives to A-MEM
- Cloudflare Agent MemoryA cloud API for scoped, searchable memory across AI agent profiles and conversations.9.2
- Mem0A flexible memory layer with semantic, graph, and self-hosted deployment options.8.8
- MCP Memory ServiceA broad open-source memory layer for teams that can manage deployment and configuration.7.9
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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