outo-agentcore
CLI agent tool powered by agentouto SDK
PyPI • Quick Start • CLI • Development
Features
- Powered by agentouto: Full peer-to-peer multi-agent SDK with parallel execution, streaming, background agents
- Agent support: Agents call each other recursively with no orchestrator
- Skills support: Agent Skills specification compliant - reusable instruction packages
- Multi-provider: OpenAI, Anthropic, Google Gemini, and any OpenAI-compatible API (Ollama, vLLM, LM Studio, etc.)
- Session persistence: Continue conversations across runs
- Bash execution: Built-in shell command tool
- Wiki knowledge base: Optional OutoWiki integration for persistent knowledge management
- Simple CLI: No complex TUI, just commands
Installation
# pip
pip install outo-agentcore
# uv (recommended)
uv tool install outo-agentcore
Uninstall
# pip
pip uninstall outo-agentcore
# uv
uv tool uninstall outo-agentcore
To remove all data:
rm -rf ~/.outoac
Quick Start
1. Setup
outoac setup \
--base-url http://localhost:11434/v1 \
--api-key your-key \
--default-model llama4:scout \
--agent-md ~/.outoac/agents/main.md \
--default-agent main
2. Create agent definitions
mkdir -p ~/.outoac/agents
Create ~/.outoac/agents/main.md:
# Coordinator
You coordinate work. Call other agents when needed.
Create ~/.outoac/agents/researcher.md:
# Researcher
You find and organize information from the web.
Create ~/.outoac/agents/writer.md:
# Writer
You create well-structured reports from research.
3. Start chatting
outoac chat "What is the capital of France?"
4. Continue a session
outoac sessions # List sessions
outoac chat "Tell me more" --session <session-id>
CLI Commands
| Command | Description |
|---|---|
outoac setup |
Configure providers and agents |
outoac chat "message" |
Start a chat session |
outoac chat "message" --session <id> |
Continue existing session |
outoac chat "message" --agent <name> |
Use specific agent |
outoac sessions |
List all sessions |
Global Options
| Argument | Description | Default | Example |
|---|---|---|---|
--config, -c |
Path to config.json | ~/.outoac/config.json |
./my-config.json |
Setup Options
| Argument | Description | Default | Example |
|---|---|---|---|
--base-url |
Provider API base URL | - | http://localhost:11434/v1 |
--api-key |
API key for provider | - | sk-xxx |
--default-model |
Default model for provider | - | llama4:scout |
--provider-name |
Provider name | default |
openai |
--agent-md |
Path to main agent markdown | - | ~/.outoac/agents/main.md |
--default-agent |
Default agent for chat | main |
researcher |
Chat Options
| Argument | Description | Default | Example |
|---|---|---|---|
message |
Message to send (required) | - | "Hello" |
--session, -s |
Session ID to continue | - | a1b2c3d4... |
--agent, -a |
Agent name to use | main |
researcher |
--debug |
Enable debug output | false |
- |
Sessions Options
| Argument | Description | Default | Example |
|---|---|---|---|
--limit |
Max sessions to show | 10 |
20 |
Configuration
Default config file: ~/.outoac/config.json
Override with --config flag or OUTOAC_CONFIG environment variable:
# Use custom config
outoac --config ./project-config.json chat "Hello"
# Or via environment variable
export OUTOAC_CONFIG=./project-config.json
outoac chat "Hello"
{
"providers": {
"default": {
"kind": "openai",
"base_url": "http://localhost:11434/v1",
"api_key": "your-key",
"default_model": "llama4:scout",
"max_output_tokens": 0
}
},
"agents": {
"main": "~/.outoac/agents/main.md",
"researcher": "~/.outoac/agents/researcher.md",
"writer": "~/.outoac/agents/writer.md",
"reviewer": "~/.outoac/agents/reviewer.md",
"coder": "~/.outoac/agents/coder.md",
"tester": "~/.outoac/agents/tester.md"
},
"default_agent": "main",
"skills_dir": "~/.outoac/skills/",
"wiki": {
"enabled": false,
"wiki_path": "~/.outoac/wiki/",
"provider": "openai",
"model": "gpt-5.5",
"api_key": "",
"base_url": "",
"max_output_tokens": 0,
"debug": false
}
}
Provider Settings
| Parameter | Description | Default |
|---|---|---|
kind |
Provider type (openai, anthropic) | openai |
base_url |
API endpoint URL | - |
api_key |
API key for authentication | - |
default_model |
Default model for agents | - |
max_output_tokens |
Default max output tokens (auto-detected if 0) | 0 |
Note: If max_output_tokens is 0 or not set, the system automatically retrieves the optimal value from the LCW API. Agent-level settings override provider defaults.
Wiki Settings
| Parameter | Description | Default |
|---|---|---|
enabled |
Enable wiki knowledge base tools | false |
wiki_path |
Path to wiki directory | ~/.outoac/wiki/ |
provider |
LLM provider for wiki operations | openai |
model |
Model for wiki analysis | (empty, uses provider default) |
api_key |
API key for wiki provider | (empty, uses provider key) |
base_url |
Base URL for wiki provider | (empty, uses provider URL) |
max_output_tokens |
Max tokens for wiki responses (auto-detected if not set) | 0 (auto) |
debug |
Enable wiki debug logging | false |
Note: If max_output_tokens is 0 or not set, the system automatically retrieves the optimal value from the LCW API.
Agent Markdown Format
Agent definitions use markdown with optional YAML frontmatter:
---
model: MiniMax-M2.7
provider: default
temperature: 1
max_output_tokens: 4000
---
# Research Agent
You are a research specialist. Your job is to find information
and provide detailed analysis.
Frontmatter fields:
model: Model name (overrides provider default)provider: Provider name to usetemperature: Sampling temperature (0.0-2.0)max_output_tokens: Maximum output tokens (auto-detected if not set)
Body:
- First
#heading becomes the agent's role - Rest becomes the agent's instructions
Note: If max_output_tokens is not set, the system automatically retrieves the optimal value from the LCW API.
Agent Example
Create multiple agents:
~/.outoac/agents/main.md:
# Coordinator
You coordinate work. Call other agents when needed.
~/.outoac/agents/researcher.md:
# Researcher
You find and organize information from the web.
~/.outoac/agents/writer.md:
# Writer
You create well-structured reports from research.
Setup with all agents:
outoac setup \
--base-url http://localhost:11434/v1 \
--api-key your-key \
--default-model llama4:scout \
--agent-md ~/.outoac/agents/main.md \
--default-agent main
Now main agent can call researcher and writer using call_agent tool.
Supported Providers
| Provider | Base URL | Default Model |
|---|---|---|
| OpenAI | https://api.openai.com/v1 |
gpt-5.5 |
| Anthropic | https://api.anthropic.com/v1 |
claude-sonnet-4-6 |
| Google Gemini | https://generativelanguage.googleapis.com/v1beta |
gemini-3-1-pro |
| Ollama | http://localhost:11434/v1 |
llama4:scout |
| LM Studio | http://localhost:1234/v1 |
(local model) |
| vLLM | http://localhost:8000/v1 |
(local model) |
Wiki Integration
Outo-agentcore integrates with OutoWiki for persistent knowledge management. When enabled, agents can record and search information across conversations.
Enable Wiki
Add to ~/.outoac/config.json:
{
"wiki": {
"enabled": true,
"provider": "openai",
"model": "gpt-5.5",
"api_key": "sk-..."
}
}
Note: If the wiki section is not present in the config, wiki features are disabled by default.
Wiki Tools
When enabled, agents have access to:
wiki_record: Save information to the wiki for future referencewiki_search: Search the wiki for relevant knowledge
Use Cases
- Remember user preferences across sessions
- Build a knowledge base from conversations
- Search for previously discussed topics
- Maintain context for long-running projects
Skills
Skills are reusable instruction packages that extend agent capabilities. They follow the Agent Skills specification.
Creating Skills
mkdir -p ~/.outoac/skills/my-skill
Create ~/.outoac/skills/my-skill/SKILL.md:
---
name: my-skill
description: What this skill does and when to use it.
---
# Instructions
Your detailed instructions go here...
How Skills Work
- Skills are automatically discovered from
~/.outoac/skills/ - Agents see all available skills in their system prompt
- Agents automatically activate skills based on task description
- Skills are loaded progressively (metadata → instructions → resources)
See Skills Documentation for details.
Built-in Tools
| Tool | Description |
|---|---|
bash |
Execute shell commands |
call_agent |
Call another agent |
finish |
Return final result |
wiki_record |
Record information to wiki (when enabled) |
wiki_search |
Search wiki knowledge base (when enabled) |
Directory Structure
~/.outoac/
├── config.json # Provider and agent settings
├── agents/ # Agent markdown definitions
│ ├── main.md
│ ├── researcher.md
│ ├── writer.md
│ ├── reviewer.md
│ ├── coder.md
│ └── tester.md
├── skills/ # Skill definitions (Agent Skills spec)
│ ├── code-review/
│ │ └── SKILL.md
│ └── git-workflow/
│ └── SKILL.md
├── sessions/ # Session persistence
│ └── <session-id>.json
└── wiki/ # Wiki knowledge base (when enabled)
└── *.md # Wiki documents
Development
# Clone
git clone <repo-url>
cd outo-agentcore
# Install dependencies
uv sync
# Run tests
uv run pytest tests/ -v
# Run CLI
uv run python -m outoac --help
License
Apache-2.0
Release files for outo-agentcore 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| outo_agentcore-0.4.0.tar.gz | 167.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outo_agentcore-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 182.5 kB
Release files / outo_agentcore-0.4.0.tar.gz
| Download URL | outo_agentcore-0.4.0.tar.gz |
|---|---|
| Size | 167.2 kB |
| Tags | Source |
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| Uploaded via |
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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