kognios
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 8 Jul 2026. How this is checked
kognios is an open-source Python agent framework designed for developers to build autonomous AI agents with features like tool integration, memory, retrieval-augmented generation (RAG), team routing, streaming, and async support. It enables flexible agent orchestration and knowledge management for advanced AI workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Building autonomous AI agents with memory, RAG, and tool integration in Python without relying on external frameworks.
Inferred · not functionally tested
Audience: Python developers building AI agents and automation workflows
Inferred · not functionally tested
Functions: agents, rag, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, kognios takes a focused approach. Inferred · not functionally tested: It focuses on building autonomous AI agents with memory, RAG, and tool integration in Python without relying on external frameworks. Inferred · not functionally tested: It is built as an open-source project for python developers building AI agents and automation workflows. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: kognios is available on the command line and API, and it can be self-hosted.
It is developed by lavkeshdwivedi, and it first shipped in 2026. Development happens publicly on GitHub with 20 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are tool integration, memory support, and RAG capabilities. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Tool integration
- Memory support
- RAG capabilities
- Team routing
- Streaming
- Async operations
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
2What PulseGate has recorded for this listing
Frequently asked questions about kognios
- What does kognios do?
- Inferred · not functionally tested: Kognios focuses on building autonomous AI agents with memory, RAG, and tool integration in Python without relying on external frameworks. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use kognios?
- Inferred · not functionally tested: kognios is an open-source project built for python developers building AI agents and automation workflows.
- Does kognios have a free plan?
- Basis unknown · not verified: Yes — kognios is open source under the MIT license and free to use.
- What platforms does kognios run on?
- Basis unknown · not verified: kognios runs on the command line and API. It can also be self-hosted.
- Is kognios still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 20 commits in the last 90 days.
- Who makes kognios?
- kognios is developed by lavkeshdwivedi.
- How long has kognios been around?
- kognios first shipped in 2026.
- Is kognios open source?
- Basis unknown · not verified: Yes — kognios is open source under the MIT license, developed on GitHub.
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