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ricercar

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 8 Oct 2026. How this is checked

ricercar is an open-source Python framework for human-agent co-evolution using a dual-loop architecture. It is intended for developers and researchers building systems where people and AI agents iteratively learn and improve together.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
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Overview

4 features

Purpose: Coordinating human and AI-agent learning through a dual-loop co-evolution framework.

Inferred · not functionally tested

Audience: AI researchers and developers building agent systems

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, 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, ricercar takes a focused approach. Inferred · not functionally tested: It focuses on coordinating human and AI-agent learning through a dual-loop co-evolution framework. Inferred · not functionally tested: It is built as an open-source project for AI researchers and developers building agent systems. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind ricercar is Chorust, and it first shipped in 2026. Development happens publicly on GitHub with 1 commit in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are dual-loop architecture, human-agent co-evolution, and agent framework.

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

Tasks: Inferred · not functionally tested

  • Dual-loop architecture
  • Human-agent co-evolution
  • Agent framework
  • Python package

Topics: Inferred · not functionally tested

Tags
agent-frameworkhuman-agent-collaborationco-evolutiondual-loop-learning
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 08:47 UTC
    ricercar seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about ricercar

What is ricercar?
Inferred · not functionally tested: Ricercar focuses on coordinating human and AI-agent learning through a dual-loop co-evolution framework. It is catalogued under Frameworks & runtimes on PulseGate.
Who is ricercar for?
Inferred · not functionally tested: ricercar is an open-source project built for AI researchers and developers building agent systems.
Is ricercar free?
Basis unknown · not verified: Yes — ricercar is open source under the Apache-2.0 license and free to use.
What platforms does ricercar run on?
Basis unknown · not verified: ricercar runs on the command line. It can also be self-hosted.
Is ricercar still active?
The GitHub repository shows 1 commit in the last 90 days.
What projects are similar to ricercar?
Similar projects tracked by PulseGate include NV oOS MCP Bridge, Haulest MCP Connector, and mimik.NV oOS MCP BridgeHaulest MCP Connectormimik
Who develops ricercar?
ricercar is developed by Chorust.
When did ricercar launch?
ricercar first shipped in 2026.

Also in Frameworks & runtimes

Same category — not a similarity match