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.
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Updated
Jul 10, 2026 - Rust
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.
Zerocopy makes zero-cost memory manipulation effortless. We write `unsafe` so you don’t have to.
Keep an eye on system resources
A Python memory profiler for data processing and scientific computing applications
A memory visualizer in Rust (ptrace + userfaultfd)
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
Noise-canceling context and long-term memory for your AI agent. Stop paying Claude to read 10,000 lines of terminal noise like a headphone for AI agent
(Cross-Platform) An open source approach to locally record and enable searching everything you view on any computer.
Convert jemalloc heap profiles to pprof to understand memory usage, fix memory leaks, and fix OOM Kills.
An allocator that can track and limit memory usage.
Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. No vector DB.
Windows kernel debugger for Linux hosts running Windows under KVM/QEMU
A cross-platform hardware monitor with real-time dashboards, usage graphs, and customizable visualizations.
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