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Context and governance that just works.

Fair comparisons with what you'll try instead, including where each one wins. The platforms are infrastructure for engineers to assemble. ContextNest is the finished brain your whole business uses.
Why teams pick us

Why teams pick ContextNest

Governance that feels like doing your work. You write a doc, chat with Hootie and run your agents, and the approvals, versions and read records happen along the way. Hyperscaler governance is IAM policies, pipelines and consoles you operate.

Why we built ContextNest →
Runs anywhere. Same nest.
Start with plain files on a laptop with the open-source CLI, self-host the server in Docker, or let us host it. Push the same nest from one to the next, with no migration.
No infrastructure to stand up
No graph database, no vector cluster, no data platform, no ontology pipeline. It starts as plain files, and hosted is free to start.
A product people open every day
A Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest. PromptOwl agents run on top.
Agents that keep it whole
Capture, curator and retriever agents ship in the ContextNest plugin for Claude Code: they keep what's worth keeping, make a correction land everywhere, and answer with citations.
Governed and enterprise-ready
Turn on review and a named owner approves before AI may use it, every version is kept, and every read is recorded. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open where it counts
The CLI, engine and MCP server are open source (AGPL-3.0), with an open spec and free starter vaults. It all runs on a laptop.
What you're choosing between

Four different choices. Each one compared with the right part of us.

ContextNest is the approved knowledge every agent reads. PromptOwl builds and runs the agents. Where you're choosing an agent builder, you're comparing both together.
AI memory tools

Memory for one app, or knowledge every agent can trust

Memory makes one agent or one app remember a user. It's useful, often free, and written by the agent itself.

Compared with ContextNest

AI memory vs governed context→
Documents and knowledge tools

A place to write documents, or knowledge your AI can rely on

These are where people write and store knowledge, often with an AI assistant on top. They were built for people reading pages, not for agents acting on them.

Compared with ContextNest + PromptOwl

Knowledge base vs governed context→
Agent builders and automation

An agent builder, or agents that run on approved knowledge

These decide how agents run. They leave open which company knowledge an agent may treat as true, and that's where agents start to disagree.

Compared with PromptOwl + ContextNest

Build it or buy it: agents on governed context→
Enterprise platforms and context layers

Your cloud's retrieval, or knowledge any agent can read

Hyperscalers, graph platforms, warehouses and catalogs give engineers infrastructure to assemble on their cloud.

Compared with ContextNest

    Your data platform's semantic layer
    Data catalogs turned context layers
    RAG plus governed context→
    What it costs to run

    Compare the bill: ContextNest vs Bedrock GraphRAG, the AWS ontology accelerator and Neo4j

    Hosting, context tokens and engineering time, from sourced list prices. Every assumption is a slider.

    Open the cost comparison →

    Last reviewed October 2026. Based on each vendor's public website and documentation, and prices show the month we checked them. Products change quickly, so check the vendor's current documentation before you decide. See something out of date? Tell us and we'll fix it.Product names and logos are trademarks of their owners; used for identification only; no endorsement or affiliation implied.

    And retrieval

    Living context for what changes. RAG for what sits still.

    Retrieval is the right tool for large libraries that rarely change: manuals, archives, research. Knowledge that changes every week (pricing, policy, product facts, decisions) needs owners, versions and approval, or agents answer from last month's version. Most teams need both, and PromptOwl governs both.
    RAG plus governed context →
    Where we lose today

    Three things other tools still do better.

    A smaller community

    Mem0 and the large memory projects have far bigger developer followings. We're newer.

    Notion is the better editor

    Real-time co-editing is our largest gap. Writing a long document in Notion is nicer.

    Someone has to own approvals

    Governance means named owners approve their area. That's the point, and it's still work a team has to take on.

    Keep your tools. Govern what they read.

    ContextNest sits between your documents and your AI, and PromptOwl runs the agents on top, so the tools you already use read the same approved knowledge.

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