AI · alternatives · 2026
24 alternatives to Semelbase — Shared memory for AI agents
Shared execution memory for every AI agent in your org
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Memori▲168Persistent memory from agent trace, not just conversation
May 2026 · memorilabs.ai · its alternatives →
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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
Aug 2026 · github.com · its alternatives →
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Eggshell▲74Local memory for AI agents to reuse work, spend fewer tokens
Sep 2026 · github.com · its alternatives →
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A file-based protocol for multi-agent AI workflows — portable, auditable, human-in-command. Cross-agent communication and persistent shared memory across runtimes, projects, and machines. No daemons, no central server.
May 2026 · oacp.dev · its alternatives →
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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 →
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AO2 Memory▲17Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai · its alternatives →
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An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.
Aug 2026 · pinglin.tw · its alternatives →
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Shared memory & coordination layer for AI agent teams
Jul 2026 · agenthelm.online · its alternatives →
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Shared, versioned memory for your agents and your team
Apr 2026 · sense-lab.ai · its alternatives →
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Open Source Context Infrastructure for AI Agents
May 2026 · ravbyte-ai.github.io · its alternatives →
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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 →
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AgentID▲7Shared memory, identity and tasks. Lower token costs.
Apr 2026 · agentid.live · its alternatives →
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This is a small library for giving an agent persistent memory without running any infrastructure. The whole store is one SQLite file, and the default install has no dependencies. I built it because whenever I wanted an agent to remember a handful of facts across sessions, the options were a hosted API, a vector database, or a framework, and that felt like too much for what is usually a few thousand short strings. The part I find most useful is that recall is deterministic, so you can write unit tests that assert what your agent remembers and run them in CI. I haven't seen that elsewhere and…
Aug 2026 · github.com · its alternatives →
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hi HN, While building Wolbarg (an open-source shared memory SDK for AI agents), I assumed PostgreSQL would be the obvious choice for memory storage. After benchmarking SQLite under realistic agent workloads, I was surprised by the results. For local-first and single-node deployments, SQLite handled far more than I expected while keeping the architecture much simpler. I wrote up the benchmarks, methodology, trade-offs, and where I still think PostgreSQL is the better choice.
Jul 2026 · wolbarg.com · its alternatives →
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thred▲11shared memory for decisions, revisions, and unfinished work
Aug 2026 · thred.fun · its alternatives →
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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 →