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AI · alternatives · 2026

24 alternatives to Decitak

Tak decisions in 1 min with AI. Never lose context again.

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 AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  2. 2
    PromptQL▲411

    Curating context is a second job nobody wants. PromptQL is the team brain that organizes itself. Work with your team in multiplayer AI threads, and PromptQL turns the context you generate into suggested edits to your wiki - interconnected pages that span skills, knowledge, and the semantic layer. Yo

    Jul 2026 · promptql.io · its alternatives →

  3. 3

    Persistent memory for Claude, ChatGPT & Cursor. Free.

    May 2026 · github.com · its alternatives →

  4. 4

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com · its alternatives →

  5. 5
    Decypher▲133

    Your AI-Powered Decision-Making Consultant

    2023 · squidandfish.gumroad.com · its alternatives →

  6. 6RG

    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…

    2025 · npmjs.com · its alternatives →

  7. 7
    Actx0▲100

    Memory infrastructure for AI agents.

    Aug 2026 · actx0.com · its alternatives →

  8. 8

    Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…

    Apr 2026 · github.com · its alternatives →

  9. 9

    Memory for coding agents that learns how your team works

    Sep 2026 · decispher.com · its alternatives →

  10. 10
    RoBrain▲71

    Shared memory across your team and your AI agents — with judgment about what's worth keeping. - adelinamart/robrain

    May 2026 · github.com · its alternatives →

  11. 11

    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 →

  12. 12

    This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…

    Apr 2026 · yourmemoryai.vercel.app · its alternatives →

  13. 13

    Shared memory for coding agents.

    Sep 2026 · resumecontext.com · its alternatives →

  14. 14
    Bindly▲76

    Hi HN, I’m a product designer by background, not a traditional software engineer. Over the last year, tools like Claude and ChatGPT completely changed how I work. I started with small internal tools, and now I’m “vibe coding” multiple highly personalized apps. As I iterated between Claude Code (implementation) and ChatGPT (ideation / thinking), I kept running into the same problem. To think clearly, I had to repeatedly re-explain: - what the code currently does, - what changed recently, - and why certain decisions were made. That re-summarization step became a real bottleneck. So I…

    2016 · bind.ly · its alternatives →

  15. 15

    Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

    Jan 2026 · github.com · its alternatives →

  16. 16

    Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

    2025 · infinitcode.ai · its alternatives →

  17. 17

    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 →

  18. 18

    CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable. - decisionnode/DecisionNode

    Apr 2026 · github.com · its alternatives →

  19. 19

    Your codebase's memory never leaves when devs do

    Nov 2025 · syncally.app · its alternatives →

  20. 20
    Recall▲16

    One developer solves it. Every developer knows it.

    Feb 2026 · recall.team · its alternatives →

  21. 21DP

    Hello HN, I'm Ali, building Decispher. The problem we're working on is that coding agents repeatedly rediscover context that already exists inside an engineering organization. A developer working on a feature can combine information from previous PRs, Jira tickets, Slack discussions, ownership boundaries, architectural decisions and their own experience. Coding agents usually start with a prompt and a repository, then spend tokens searching for that same context—or miss it entirely. Decispher is a context and memory layer for engineering agents. It currently has three parts: 1) Context…

    Aug 2026 · its alternatives →

  22. 22

    Async decisions for teams who hate meetings.

    May 2026 · its alternatives →

  23. 23

    AI that learns autonomously and remembers everything

    Nov 2025 · its alternatives →

  24. 24

    The Institutional Memory for Engineering Teams.

    Jul 2026 · 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 →