AI · alternatives · 2026
24 alternatives to Shodh– AI memory that learns from use, no LLM calls, single Rust binary
Hey HN, I built this because most AI memory solutions (mem0, Zep) need cloud connectivity. That doesn't work for drones flying beyond cell coverage or robots in warehouses. Shodh-Memory is a local-first AI memory system: - 100% offline, runs on edge devices - 4MB binary, sub-100ms retrieval - Multi-tier memory (working → session → long-term) - Geo-spatial queries for GPS-tagged memories - Mission tracking for autonomous systems Install: pip install shodh-memory Quick example: ```python from shodh_memory import MemorySystem memory = MemorySystem("./robot_memory") memory.record(…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
memories.sh▲50One layer for memories, skills, and rules across any agent
Feb 2026 · memories.sh · its alternatives →
- 2
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com · its alternatives →
- 3
An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Aug 2026 · github.com · its alternatives →
- 4
DeltaMemory▲104Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.
Feb 2026 · deltamemory.com · its alternatives →
- 5
Mengram▲108AI memory that learns how you work — facts, events, and workflows that improve from failures. One memory across Claude Code, Cursor, Codex, and ChatGPT. Free tier, $5/mo.
Feb 2026 · mengram.io · its alternatives →
- 6
I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com · its alternatives →
- 7
The memory layer that decides what's worth remembering
Aug 2026 · skynetlab-cortex.com · its alternatives →
- 8
Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend. - zaydmulani09/mnemo
Jun 2026 · github.com · its alternatives →
- 9
Enable agents to keep context & work across apps + sessions
Jun 2026 · walrus.xyz · its alternatives →
- 10
Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up. The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine. Under the hood it's TypeScript +…
2025 · github.com · its alternatives →
- 11
Lossless long-term memory for a personal AI: never summarize, keep every line, put a timestamp on everything. - aru-labs/lossless-memory
Sep 2026 · github.com · its alternatives →
- 12
Vector databases store memories. They don't manage them. After 10k memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier. YantrikDB is a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores: consolidation collapses duplicate memories, contradiction detection flags incompatible facts, temporal decay with configurable half-life lets unimportant memories fade like human memory does. Single Rust binary. HTTP + binary wire protocol. 2-voter + 1-witness HA…
Apr 2026 · github.com · its alternatives →
- 13
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock
Aug 2026 · github.com · its alternatives →
- 14
Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server. - M4F-S/gomaa
Aug 2026 · github.com · its alternatives →
- 15
Levh▲6Local-first memory for AI agents and workflows
Jul 2026 · ali-ulu.github.io · its alternatives →
- 16
I'm an "ideas person" who messes around with AI on a low budget. I got tired of watching my tokens vanish and context windows filling up while agents fumbled around trying to find the right thing. Agents don't flail like they used to with shell tools, but there are still weak/blind spots and back-and-forth episodes — especially when using tools in combination/sequence. So I built "tilth" today. Or rather, AI built it — every line is Opus 4.6. I spent a lot of my precious tokens getting it to "not shit" (at least several of the different vendors' AI overlords assure me it's not…
Feb 2026 · github.com · its alternatives →
- 17
- 18
Tell MemorySync a fact, reload the page, then ask for it back in your own words. No signup. Every API call shown in cURL, Python and Node.js.
10d ago · memorysync.io · its alternatives →
- 19
Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions. We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action. Current LLMs are stateless…
2025 · github.com · its alternatives →
- 20
Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files - gonzaroman/IHMT-MEMORY
11d ago · github.com · its alternatives →
- 21
Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents. - sqliteai/sqlite-memory
Apr 2026 · github.com · its alternatives →
- 22
How it works: - Storage uses one SQLite database file, plus a local LanceDB index of vectors. No need for a server, cloud services, or any API keys. - Retrieval is a hybrid approach using BM25 (rank-bm25) and vector-based search (sentence-transformers) combined with a co-occurrence graph of entities, using reciprocal rank fusion. The idea is to find the right memory, not the closest one. - It plugs into the agent's lifecycle via MCP: before the agent responds, relevant memories are added to its input; after each turn, decisions and new learnings are automatically recorded. No need to…
Jun 2026 · github.com · its alternatives →
- 23
Motörhead is an open-source project aimed at helping developers build and manage LLM-based chat applications. We built Motörhead in Rust and it currently handles user sessions and context windows with the following features: -Short-term memory management: Motörhead maintains chat session histories for n users, keeping track of messages sent and received. -Incremental summarization: When the message buffer reaches a maximum window size, Motörhead incrementally summarizes the content into a context key. This process involves taking an existing summary and the messages removed from the list,…
2023 · github.com · its alternatives →
- 24
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary. - Michael-A-Kuykendall/shimmy
2025 · github.com · its alternatives →
Also compare
- memories.sh alternatives
- LocalGPT – A local-first AI assistant in Rust with persistent memory alternatives
- MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5 alternatives
- DeltaMemory alternatives
- Mengram alternatives
- Core – open source memory graph for LLMs – shareable, user owned alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →