Software Alternatives & Startups
Register | Login

Stellate.co VS Agentmemory

Compare Stellate.co VS Agentmemory and see what are their differences

Stellate.co

Everything you need to run your GraphQL API at scale

Rating
0 reviews
Pricing
Freemium Free trial $10 (per million requests)
Promote on VibeVoted
Alternatives Is it good?
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

No screenshot yet
Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
InboxAgent
InboxAgent uses AI to read your shared mailboxes, like info@ and sales@, plus everyone's own inbox, on Microsoft 365, Gmail, Zoho Mail or IMAP. It finds the sales leads and gives each an owner on a board. Never sends from your mailbox. sponsored

Which is more popular?

Based on our record, Stellate.co seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
Developer Tools popularity
50% vs 50%
alternatives listed
104 vs 55

Base details

Website, pricing, platforms and company facts side by side.

Stellate.co
Agentmemory
Website stellate.co agent-memory.dev
Pricing
Freemium Free trial $10 (per million requests) Official pricing
—
Listed in
APIs SaaS Developer Tools GraphQL Realtime Backend / API +2
AI Developer Tools Productivity Utilities +1

About Stellate.co and Agentmemory

In their own words, as submitted to SaaSHub.

Stellate.co
Agentmemory

Edge Caching, Metrics, and Security for your GraphQL API. Reduce Cloud costs, handle traffic spikes, boost performance, get detailed observability, and secure your API. ⚡️

Read more about Stellate.co

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

Stellate.co 3 features
Agentmemory 5 features
  • GraphQL Edge Cache
  • GraphQL Metrics
  • GraphQL Security
  • Simple API
    Agentmemory provides a straightforward and minimal API for creating, searching, updating, and deleting memories, making it easy for developers to integrate memory capabilities into AI agents without dealing with complex configurations.
  • Built on ChromaDB
    It leverages ChromaDB as its underlying vector database, providing reliable semantic search and embedding capabilities out of the box without requiring developers to set up separate infrastructure.
  • Lightweight and Easy to Install
    Agentmemory is a lightweight Python package that can be installed via pip with minimal dependencies, making it quick to get started with and easy to incorporate into existing projects.
  • Category-Based Memory Organization
    Memories can be organized into categories (topics), allowing agents to store and retrieve information in a structured way, which helps with context management and retrieval accuracy.
  • No Server Required
    Agentmemory can run entirely locally without needing a separate server or cloud service, making it suitable for development, prototyping, and privacy-sensitive applications where data should stay on the local machine.

Possible disadvantages

  • Limited Ecosystem and Community
    Agentmemory is a relatively niche and small project with a limited community compared to more established memory and vector database solutions, which means fewer resources, tutorials, and community support are available.
  • Basic Feature Set
    While simplicity is a strength, the library may lack advanced features such as sophisticated memory consolidation, decay mechanisms, importance scoring, or complex querying capabilities that more mature memory frameworks offer.
  • Tight Coupling to ChromaDB
    Being built specifically on ChromaDB means developers are locked into that particular vector store and cannot easily swap it out for alternatives like Pinecone, Weaviate, or FAISS without significant refactoring.
  • Limited Scalability
    As a locally-run, lightweight solution, Agentmemory may not scale well for production applications that require handling large volumes of memories, high concurrency, or distributed deployments.
  • Sparse Documentation and Examples
    The project's documentation, while covering the basics, may lack comprehensive examples, best practices, and advanced usage patterns that developers need when building complex agent-based systems.

Analysis

An editorial look at what each product does well and who it suits.

Stellate.co
Agentmemory

No analysis of Stellate.co yet.

Overall verdict

  • AgentMemory (agent-memory.dev) appears to be a solid, purpose-built solution for developers who need persistent memory management in AI agent applications, offering a focused feature set for storing, retrieving, and managing contextual data across agent sessions.

Why this product is good

  • Provides dedicated memory persistence for AI agents, enabling context retention across sessions and conversations
  • Designed specifically for the agentic AI use case, which can simplify development compared to building custom memory layers
  • Likely offers developer-friendly APIs and SDKs to integrate memory capabilities quickly
  • Can improve agent performance by allowing recall of past interactions, user preferences, and long-term context
  • Reduces boilerplate work for teams building conversational or autonomous AI systems

Recommended for

  • Developers building AI agents or LLM-powered applications that require long-term memory
  • Teams creating conversational assistants that need to remember user context across sessions
  • Startups and companies prototyping autonomous or multi-step agent workflows
  • Engineers seeking a managed memory layer instead of building persistence infrastructure from scratch
  • Projects involving personalized AI experiences that depend on retained user data and history

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Stellate.co
Agentmemory
50% 50%
Developer Tools
50% 50%
0% 0%
AI
100% 100%
100% 100%
APIs
0% 0%
100% 100%
GraphQL
0% 0%

User comments

Share your experience with using Stellate.co and Agentmemory. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Stellate.co 11 mentions
Agentmemory 0 mentions
  • Show HN: Orbit GraphQL – An open source cache server for your GraphQL API
    I've been working on an open source implementation of a Stellate (https://stellate.co) like GraphQL cache service, and it's finally hit v0.1 TL,DR; It is a cached proxy for your GraphQL API with automatic purging. Deploy it in front of... - Source: Hacker News / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Stellate - Stellate is a blazing-fast, reliable CDN for your GraphQL API and free for two services. - Source: dev.to / over 2 years ago
  • Fundraising Stages Defined (Angel/Pre-Seed/Seed/Series A) – Incisive Ventures
    While some of the metrics aren't particularly helpful (depending on the actual company being evaluated) as others have mentioned, the round sizes are in the right ballpark. Our[0] actual round sizes were: 1. Pre-seed: $1M (led by... - Source: Hacker News / over 3 years ago

View more

Tracking Agentmemory since Jun 2026.

Alternatives to Stellate.co and Agentmemory

When comparing Stellate.co and Agentmemory, you can also consider the following products.

Loading...