Cognitum.One
PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 25 Jun 2026. How this is checked
Cognitum.One is a developer platform for deploying always-on, self-learning AI agents at the edge, close to where data is generated. It offers SDKs for Rust, Node.js, and Python, and supports integration via the Model Context Protocol (MCP). Designed for developers building real-time, distributed intelligence solutions.
Inferred · not functionally tested
Overview
6 featuresPurpose: Deploying intelligent, self-learning AI agents directly at the edge for real-time data processing without relying on centralized servers.
Inferred · not functionally tested
Audience: AI developers building edge intelligence solutions
Inferred · not functionally tested
Functions: agents, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: unknown · license: MIT · platforms: WEB · deployment: browser, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: cognitum.one · github.com · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, Cognitum.One takes a focused approach. Inferred · not functionally tested: It focuses on deploying intelligent, self-learning AI agents directly at the edge for real-time data processing without relying on centralized servers. Inferred · not functionally tested: Cognitum.One is a B2B product aimed at AI developers building edge intelligence solutions. Basis unknown · not verified: Cognitum.One is available on the web and API.
Cognitum.One first shipped in 2025. Development happens publicly on GitHub with 61.4k stars and 916 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include edge deployment, self-learning agents, and MCP integration. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Edge deployment
- Self-learning agents
- MCP integration
- Rust SDK
- Node.js SDK
- Python SDK
Topics: Inferred · not functionally tested
Built with & integrations
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Cognitum.One
- What is Cognitum.One?
- Inferred · not functionally tested: Cognitum.One focuses on deploying intelligent, self-learning AI agents directly at the edge for real-time data processing without relying on centralized servers. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is Cognitum.One for?
- Inferred · not functionally tested: Cognitum.One is a B2B product built for AI developers building edge intelligence solutions.
- What platforms does Cognitum.One run on?
- Basis unknown · not verified: Cognitum.One runs on the web and API.
- Is Cognitum.One still active?
- PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 916 commits in the last 90 days.
- When did Cognitum.One launch?
- Cognitum.One first shipped in 2025.
- Is Cognitum.One open source?
- Basis unknown · not verified: Cognitum.One has a public GitHub repository.
- Does Cognitum.One have an API or integrations?
- Inferred · not functionally tested: Yes — Cognitum.One exposes an MCP server.
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