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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
FlatBuffers: Memory Efficient Serialization Library
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Fast and memory-efficient exact attention
Dolt – Git for Data
TranslatedWords learning and English muscle memory training software designed for keyboard workers
Fast HTTP package for Go. Tuned for high performance. Zero memory allocations in hot paths. Up to 10x faster than net/http
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Build a portrait of your life. Assistants that know you. Clones that talk like you.
AI coworker with memory and collaboration
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
An Android library for managing images and the memory they use.
A lightweight, lightning-fast, in-process vector database
A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
Memray is a memory profiler for Python
Personal memory across agents
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Agent S: the state-of-the-art open source computer use agents
AddressSanitizer, ThreadSanitizer, MemorySanitizer