GraphCanon updated 5d · GitHub synced 5d · 31 views this month
Decision brief
CowAgent is an open-source framework designed for task planning and execution with features including self-evolution through memory and knowledge accumulation. It supports multiple models and communication channels.
Good fit when
- - When you need a lightweight, extensible AI assistant that can be installed with minimal setup.
- - For projects requiring integration of multi-modal functionalities across various platforms.
Avoid when
- - If your project requires deep integration or compatibility specifically with proprietary systems not well-supported by CowAgent's open-source nature.
- - In contexts where there is a critical dependency on continuous, active community support and frequent updates since the tool might have lower activity compared to more popular alternatives.
- Pricing:
- freemium - Completely open source and free to use under the MIT License.
- Requirements:
- Min 2 GB RAM
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (46,520) are secondary evidence.
- Docker Hub pulls (30d)
- 16,101·Docker Hub API·5d
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 5d
- Provenance
- Not a fork · Personal account
- As of 5d
- Security (OSV)
- No MCP manifest
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install CowAgentHow it fits your stack(28)
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
CowAgent is an open-source framework capable of task planning, execution, and self-evolution through memory and knowledge accumulation. It supports multi-model and multi-channel communication.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 16, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 16, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 16, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
Categories
Tags
README
🚀 Quick Start
A one-line installer takes care of dependencies, configuration, and startup:
Linux / macOS:
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
Windows (PowerShell):
irm https://cdn.link-ai.tech/code/cow/run.ps1 | iex
Docker:
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
docker compose up -d
Once started, open http://localhost:9899 to access the Web console — your one-stop hub to chat with the Agent, configure models, connect channels, and install skills.
Deploying on a server? Set
web_hostto0.0.0.0inconfig.jsonto make the console reachable from outside, and setweb_passwordto protect it. Don't forget to open port9899in your firewall or security group.
📖 Detailed guides: Quick Start · Install from Source · Upgrade
After installation, manage the service with the cow CLI:
cow start | stop | restart # service control
cow status | logs # status and logs
cow update # pull latest code and restart
cow skill install <name> # install a skill
cow install-browser # install browser automation
💻 Desktop client: download the CowAgent Desktop client (macOS / Windows) — the backend is bundled, ready to use out of the box.
For agents
This page has a .md twin and JSON over the API.