Alternatives
Products that do what Memory Stream by CMPSBL® does
Discovers and exports working software and silicon hardware.
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PMB gives Claude Code, Cursor, Codex and Zed a real memory. Decisions, lessons and facts in one SQLite file on your disk. Offline, no API keys, no cloud.
Jun 2026 · pmbai.dev
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We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com
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Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…
Oct 2025 · npmjs.com
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Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…
2025 · github.com
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I wrote a little LD_PRELOAD library that makes it easy to inspect and interact with a running program's glibc heap. It's fun to pause processes, free a bunch of their allocations, then resume them. Most of the time, the processes continue as though nothing happened, but sometimes they do interesting things :)
2025 · github.com
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Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall
Jun 2026 · github.com
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2023 · github.com
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Mar 2026 · bepurple.ai
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I created cmd-stream-go, a high-performance client-server library based on the Command Pattern, where Commands are first-class citizens. Why build around Commands? As serializable objects, they can be sent over the network and persisted. They also provide a clean way to model distributed transactions through composition, and naturally support features like Undo and Redo. These qualities make them a great fit for implementing consistency patterns like Saga in distributed systems. On the performance side, sending a Command involves minimal overhead — only its type and data need to be…
2025 · github.com
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
25d ago · github.com
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Modeloop is a model-based design IDE for embedded control systems: build block diagrams, simulate and test behavior, and generate C or Python code.
Jun 2026 · modeloop.app
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2025 · slipstream.readthedocs.io
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com
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Hey Everybody, We are really excited to release the 1st version of H2LooP studio today.https://h2loop.ai/ H2LooP Studio helps system software engineers generate code from technical specs, debug issues, and understand complex code in C, C++, Go, and Rust. Under the hood, it uses the H2LooP Data Engine to create instruction-tuned datasets from data sheets and source code. Models are what they eat. We create high-quality, pre-vetted domain-specific training data (telecom, IoT, automotive, consumer electronics) at scale for fine-tuning small language models. We leverage both LLMs…
2024 · h2loop.ai
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