How to get the best deals on Decision Node — pricing breakdown, savings tips, and alternatives
Decision Node offers a free tier — you might not need to pay at all!
Perfect for trying out Decision Node without spending anything
💡 Pro tip: Start with the free tier to test if Decision Node fits your workflow before upgrading to a paid plan.
per month
Don't overpay for features you won't use. Here's our recommendation based on your use case:
Most AI tools, including many in the developer category, offer special pricing for students, teachers, and educational institutions. These discounts typically range from 20-50% off regular pricing.
• Students: Verify your student status with a .edu email or Student ID
• Teachers: Faculty and staff often qualify for education pricing
• Institutions: Schools can request volume discounts for classroom use
Most SaaS and AI tools tend to offer their best deals around these windows. While we can't guarantee Decision Node runs promotions during all of these, they're worth watching:
The biggest discount window across the SaaS industry — many tools offer their best annual deals here
Holiday promotions and year-end deals are common as companies push to close out Q4
Tools targeting students and educators often run promotions during this window
Signing up for Decision Node's email list is the best way to catch promotions as they happen
💡 Pro tip: If you're not in a rush, Black Friday and end-of-year tend to be the safest bets for SaaS discounts across the board.
Test features before committing to paid plans
Save 10-30% compared to monthly payments
Many companies reimburse productivity tools
Some providers offer multi-tool packages
Wait for Black Friday or year-end sales
Some tools offer "win-back" discounts to returning users
If Decision Node's pricing doesn't fit your budget, consider these developer alternatives:
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✓ Free plan available
AI workspace for knowledge management and team collaboration from Atlassian.
Free tier available
✓ Free plan available
Memory infrastructure for AI agents and applications, available as an open-source framework and managed platform.
Starting at $0/month
DecisionNode stores development decisions as structured JSON rather than as loose markdown notes. The website example includes fields such as id, scope, decision, rationale, and constraints, which makes each record easier for AI tools to interpret later. It then embeds the decision text as a vector and stores it locally in vectors.json. This makes the decision searchable by meaning, not just by exact keywords.
The website explicitly lists compatibility with Claude Code, Cursor, Windsurf, Antigravity, and any MCP client. Because it exposes an MCP server, the retrieval workflow depends on the AI coding client calling the search_decisions tool. The site also notes that retrieval is explicit: decisions are not automatically injected into the system prompt. This is useful for developers who want searchable memory without permanently bloating every prompt.
Yes. The website schema lists DecisionNode as accessible for free, with an offer price of 0 USD, and identifies the license as MIT. The install URL points to the npm package decisionnode, and the homepage shows installation via npm i -g decisionnode. Users should still account for the Gemini embedding dependency: Google lists gemini-embedding-001 as free of charge on the Gemini API free tier, $0.15 per 1M input tokens on paid Standard, and $0.075 per 1M input tokens on paid Batch.
DecisionNode converts decision text into embeddings using Gemini’s gemini-embedding-001 model, then compares future queries against stored vectors using cosine similarity. The website states that embeddings are 3072-dimensional and that the web UI can project them into a 2D vector space using UMAP. It also supports a configurable minimum similarity threshold to filter out irrelevant results. The example workflow on the site shows a prior UI decision returned with a 94% similarity score.
DecisionNode includes conflict detection before adding a new decision. According to the website, existing decisions are checked at 75% similarity so near-duplicates and contradictions can be caught. This does not replace human review, because the team still needs to decide whether two records truly conflict. It does, however, create a useful guardrail when many decisions accumulate across multiple AI coding sessions.
Start with the free tier and upgrade when you need more features
Get Started with Decision Node →Pricing and discounts last verified March 2026