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“building AI agents”
Showing 1–9 of 9 for “building AI agents”
- 0.597score
Contextual AI
Contextual AI
Context layer for building AI agents that reason over technical documents and institutional knowledge.
InfrastructureAFreshness: Adata - 0.809score
Trigger.dev
Trigger.dev
Open-source platform for building durable AI agents and workflows in TypeScript.
InfrastructureAFreshness: A★ 16.6Kdurable execution - 0.824score
Temporal
Temporal Technologies
Open-source durable execution platform for building reliable applications and AI agents.
InfrastructureAFreshness: A★ 24Kdurable execution - 0.716score
Dapr Agents
Dapr (CNCF)
Python framework for LLM-powered agents, built on the Dapr distributed systems runtime.
InfrastructureAFreshness: A★ 764↓ 7.1K/wkdurable execution - 0.838score
Graphiti
Zep
Open-source Python framework for building temporal knowledge graphs that AI agents can query.
InfrastructureAFreshness: A★ 32.2Kmemory - 0.599score
Bland AI
Bland AI
Voice AI agents for regulated, high-stakes phone calls, run end to end on Bland's own speech, language and voice models.
InfrastructureAFreshness: Avoice - 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 - 0.826score
Letta
Letta
Platform for stateful agents that learn from experience and keep their memory across sessions.
InfrastructureAFreshness: A★ 25.2Kmemory - 0.771score
Honcho
Plastic Labs
Open-source memory for AI agents that reasons over conversations to model each user and agent.
InfrastructureAFreshness: A★ 7.8Kmemory