Who should use agnoclaw?

agnoclaw is an open-source project built for AI developers.

Does agnoclaw have a free plan?

Yes — agnoclaw is open source under the MIT license and free to use.

What platforms does agnoclaw run on?

agnoclaw runs on the command line. It can also be self-hosted.

Is agnoclaw still maintained?

The GitHub repository shows 40 commits in the last 90 days.

What projects are similar to agnoclaw?

Similar projects tracked by PulseGate include Bosun, falcon-limitless-agent, and cc-plugin-to-codex.

Who develops agnoclaw?

agnoclaw is developed by yogin16.

When did agnoclaw launch?

agnoclaw first shipped in 2026.

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agnoclaw

Name: agnoclaw
Author: yogin16

github.comInfrastructure

agnoclaw is an open-source, model-agnostic agent harness built on Agno, designed for developers to create and orchestrate autonomous AI agents. It features prompt engineering, UX patterns, and full Python extensibility, making it suitable for advanced AI workflows and experimentation.

Open SourceMITCLISelf-hosted

Visit github.com

1star

1fork

5features

2026since

Overview

5 features

agnoclaw sits in PulseGate's Autonomous agents & workflows category. It enables developers to build, customize, and orchestrate autonomous AI agents using a flexible, model-agnostic framework. agnoclaw is an open-source project aimed at AI developers. agnoclaw is open source under the MIT license. It runs on the command line, and it can be self-hosted.

It is developed by yogin16, and it first shipped in 2026. The project is developed in the open on GitHub with 40 commits in the last 90 days. Among its 5 catalogued features are agent harness, model-agnostic, and prompt engineering.

Summary written by a language model from the project’s public pages.

Agent harness
Model-agnostic
Prompt engineering
Python extensibility
Open source

Built with & integrations

Framework

FastAPI

AI providers

anthropicopenaigoogle_geminilocal_oss

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed26 Jun · 10:53 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about agnoclaw

What is agnoclaw?: Agnoclaw enables developers to build, customize, and orchestrate autonomous AI agents using a flexible, model-agnostic framework. It is catalogued under Autonomous agents & workflows on PulseGate.
Who should use agnoclaw?: agnoclaw is an open-source project built for AI developers.
Does agnoclaw have a free plan?: Yes — agnoclaw is open source under the MIT license and free to use.
What platforms does agnoclaw run on?: agnoclaw runs on the command line. It can also be self-hosted.
Is agnoclaw still maintained?: The GitHub repository shows 40 commits in the last 90 days.
What projects are similar to agnoclaw?: Similar projects tracked by PulseGate include Bosun, falcon-limitless-agent, and cc-plugin-to-codex.Bosun falcon-limitless-agent cc-plugin-to-codex
Who develops agnoclaw?: agnoclaw is developed by yogin16.
When did agnoclaw launch?: agnoclaw first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 1
License: MIT
Built for: AI developers
Model: Open source
Solves: Enables developers to build, customize, and orchestrate autonomous AI agents using a flexible, model-agnostic framework.

Registered as

GitHub: yogin16/agnoclaw
PyPI: agnoclaw

Developer

yogin16

Solo developer

GitHub

Open source

View on GitHub

Stars: 1
Forks: 1
Open issues: 3
Last commit: 10 Jun 2026
Commits 90d: 40
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.10.0 · 10 Jun 2026

Live coverage

Identity confidence: Low · 64
Indexed: 26 Jun 2026
Lifecycle: Unverified
Last seen: 26 Jun 2026

Identity audit (12)

Slug: agnoclaw-pypi-org
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 26 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 25 Jul 2026
Canonical URL: https://github.com/yogin16/agnoclaw

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