249 listed
Agent infrastructure
The services agents run on: memory, code sandboxes, browsers, voice, search and scraping APIs, vector databases, LLM gateways, inference, durable execution and hosting. Facts such as self-hosting and compliance come from each vendor's own pages, with links.
Showing 1–7 of 7
- 0.870score
Mem0
Mem0
Long-term memory layer that lets AI assistants and agents keep user context across sessions.
InfrastructureAFreshness: A★ 67.7Kmemory - 0.843score
Cognee
Topoteretes
Open-source AI memory platform that turns documents, code and conversations into a knowledge graph for agents.
InfrastructureAFreshness: A★ 32.7Kmemory - 0.840score
Supermemory
Supermemory
Memory and context engine for AI that extracts facts, keeps user profiles and feeds context back to agents.
InfrastructureAFreshness: A★ 31.4Kmemory - 0.826score
Letta
Letta
Platform for stateful agents that learn from experience and keep their memory across sessions.
InfrastructureAFreshness: A★ 25.2Kmemory - 0.761score
Basic Memory
Basic Machines
Open-source, Markdown-based knowledge graph memory that AI clients use over MCP.
InfrastructureAFreshness: A★ 4.3K↓ 14.4K/wkmemory - 0.596score
ByteRover
ByteRover
Context and memory layer that syncs project decisions and rules selectively across coding agents and teammates.
InfrastructureAFreshness: Amemory - 0.596score
Zep
Zep
Context layer that unifies business data, documents and conversations into governed context for agents.
InfrastructureAFreshness: Amemory