nowfound

AI · alternatives · 2026

24 alternatives to Talamus

Durable local-first memory for AI agents, with citations

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev · its alternatives →

  2. 2

    Repo-native memory for coding agents

    Jul 2026 · github.com · its alternatives →

  3. 3
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  4. 4

    Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory

    Dec 2025 · github.com · its alternatives →

  5. 5

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  6. 6

    Persistent, structured memory for AI Agents

    Jan 2026 · mnexium.com · its alternatives →

  7. 7
    Atlaso▲216

    One memory for every AI you use

    Aug 2026 · atlaso.ai · its alternatives →

  8. 8

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  9. 9

    Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline. - raiyanyahya/recall

    Jun 2026 · github.com · its alternatives →

  10. 10
    GPS▲83

    Memory layer for LLMs that stores repo rules + past lessons

    May 2026 · github.com · its alternatives →

  11. 11

    Most 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 →

  12. 12

    Local memory for AI agents to reuse work, spend fewer tokens

    Sep 2026 · github.com · its alternatives →

  13. 13

    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 →

  14. 14

    Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…

    Jun 2026 · metabrain.eu · its alternatives →

  15. 15

    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 →

  16. 16

    AI memory for every agent

    Dec 2025 · localmemory.co · its alternatives →

  17. 17

    Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi

    Jan 2026 · tracemem.com · its alternatives →

  18. 18

    Give AI agents long-term memory. Not vector search or RAG

    Dec 2025 · github.com · its alternatives →

  19. 19

    Memory + judgment for AI coding agents (local, MIT)

    May 2026 · projectmem.dev · its alternatives →

  20. 20

    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 →

  21. 21

    So I've been building ClawMem, an open-source context engine that gives AI coding agents persistent memory across sessions. It works with Claude Code (hooks + MCP) and OpenClaw (ContextEngine plugin + REST API), and both can share the same SQLite vault, so your CLI agent and your voice/chat agent build on the same memory without syncing anything. The retrieval architecture is a Frankenstein, which is pretty much always my process. I pulled the best parts from recent projects and research and stitched them together: [QMD](https://github.com/tobi/qmd) for the…

    Mar 2026 · github.com · its alternatives →

  22. 22

    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 →

  23. 23

    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 →

  24. 24

    Local-first memory CLI — one vault for all your AI agents

    Jun 2026 · auxly.io · its alternatives →

Also compare

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 →