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AI · alternatives · 2026

24 alternatives to SPM-Polaris

Governed long-term memory for AI agents

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

    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 →

  3. 3
    Spydr▲139

    Github for LLM context. One memory, infinite possibilities.

    2025 · spydr.dev · its alternatives →

  4. 4

    Persistent, structured memory for AI Agents

    Jan 2026 · mnexium.com · its alternatives →

  5. 5
    Actx0▲100

    Memory infrastructure for AI agents.

    Aug 2026 · actx0.com · its alternatives →

  6. 6

    AI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.

    Dec 2025 · cmem.ai · its alternatives →

  7. 7

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

    Dec 2025 · github.com · its alternatives →

  8. 8BA

    Hi HN, Erik here. Today we launch Butter, an OpenAI-compatible API proxy that caches LLM generations and serves them deterministically on revisit. Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem: https://news.ycombinator.com/item?id=43988381 Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out:…

    2025 · docs.butter.dev · its alternatives →

  9. 9

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

    Dec 2025 · github.com · its alternatives →

  10. 10

    I've been working on Polign and built a small prototype around something I've been thinking about with agent memory. I have built a lightweight/stateless vector db + BM25 search which works really well with typed facts and structured queries. It uses your own S3, or GCS bucket as primary storage, and restarting a node is fairly quick. Demo + writeup: https://polign.com/blog-edge-agent-memory Live search demo: https://demo.polign.com Docs: https://polign.com

    Aug 2026 · polign.com · its alternatives →

  11. 11

    Train Smarter,Sale Faster

    2025 · its alternatives →

  12. 12

    The TLS for autonomous agent state.

    Jul 2026 · memora.optitransfer.ch · its alternatives →

  13. 13

    The memory management system for AI agents

    2024 · its alternatives →

  14. 14CA

    Current AI chat assistants face a fundamental challenge: context management in long conversations. While current LLM apps use multiple separate conversations to bypass context limits, a truly human-like AI assistant should maintain a single, coherent conversation thread, making efficient context management critical. Although modern LLMs have longer contexts, they still suffer from the long-context problem (e.g. context rot problem) - reasoning ability decreases as context grows longer. Memory-based systems have been invented to alleviate the context rot problem, however, memory-based…

    Nov 2025 · its alternatives →

  15. 15

    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 →

  16. 16

    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 →

  17. 17
    Eros▲2

    Episodic memory for the autonomous AI agents

    Feb 2026 · github.com · its alternatives →

  18. 18

    Memory for coding agents that learns how your team works

    Sep 2026 · decispher.com · its alternatives →

  19. 19

    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 →

  20. 20

    Your agents. Your servers. Your keys. Your model.

    May 2026 · platos.dev · its alternatives →

  21. 21
    Polaris▲12

    High performance workflow orchestrator for Golang servers

    2024 · harshadmanglani.github.io · its alternatives →

  22. 22YP

    It's an biological inspired decay system for our memories with extended support of temporal reasoning. Created a CLI command to infer knowledge from the context stored in memory system without any token utilization or llm call. It comes with a memory dashboard to monitor and manage your memories it can be extended as audit trail for agents as well !

    May 2026 · its alternatives →

  23. 23

    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 →

  24. 24
    Recall▲3

    Long-term memory for AI agents, visible to humans

    Jun 2026 · github.com · 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 →