Agent Commands

All agent commands are under the openfang agent namespace.

Creating Agents

openfang agent new

Spawn an agent from a built-in template.

openfang agent new [<TEMPLATE>]

Arguments:

Argument	Description
`<TEMPLATE>`	Template name (e.g. `coder`, `assistant`, `researcher`). If omitted, displays an interactive picker.

Behavior:

Templates are discovered from:
- Repository agents/ directory (dev builds)
- ~/.openfang/agents/ (installed)
- OPENFANG_AGENTS_DIR (environment override)
Each template is a directory containing an agent.toml manifest
In daemon mode: sends POST /api/agents with the manifest (agent is persistent)
In standalone mode: boots an in-process kernel (agent is ephemeral)

Example:

$ openfang agent new

  Select an agent template:

  > coder          - Code generation and review
    assistant      - General-purpose assistant
    researcher     - Web research and analysis
    writer         - Content creation
    analyst        - Data analysis

  Use ↑↓ to navigate, Enter to select, Esc to cancel

Agents spawned in daemon mode persist across restarts. Agents spawned in standalone mode are ephemeral.

openfang agent spawn

Spawn an agent from a custom manifest file.

openfang agent spawn <MANIFEST>

Arguments:

Argument	Description
`<MANIFEST>`	Path to an agent manifest TOML file

Behavior:

Reads and parses the TOML manifest file
In daemon mode: sends the raw TOML to POST /api/agents
In standalone mode: boots an in-process kernel and spawns the agent locally

Example Manifest:

# my-agent/agent.toml
name = "custom-agent"
role = "A specialized agent for code review"

[model]
provider = "anthropic"
model = "claude-sonnet-4-20250514"

[skills]
enabled = ["code-reviewer", "git-expert"]

[instructions]
system_prompt = """
You are an expert code reviewer. Focus on:
- Security vulnerabilities
- Performance issues
- Best practices
- Code maintainability
"""

Spawn the Custom Agent:

$ openfang agent spawn ./my-agent/agent.toml
[ok] Agent spawned: custom-agent (e5f6g7h8-i9j0-k1l2-m3n4-o5p6q7r8s9t0)

The manifest file must be valid TOML and conform to the OpenFang agent schema.

Listing Agents

openfang agent list

List all running agents.

openfang agent list [--json]

Options:

Option	Description
`--json`	Output as JSON array for scripting

Example Output (Daemon Mode):

$ openfang agent list

  Active Agents

  ID                                    NAME          STATE       PROVIDER    MODEL
  a1b2c3d4-e5f6-7890-abcd-ef1234567890  coder         idle        anthropic   claude-sonnet-4
  e5f6g7h8-i9j0-k1l2-m3n4-o5p6q7r8s9t0  assistant     processing  groq        llama-3.3-70b
  i9j0k1l2-m3n4-o5p6-q7r8-s9t0u1v2w3x4  researcher    idle        gemini      gemini-2.5-flash

  Total: 3 agents

Example Output (In-Process Mode):

$ openfang agent list

  Active Agents (in-process kernel)

  ID                                    NAME        STATE   CREATED
  a1b2c3d4-e5f6-7890-abcd-ef1234567890  coder       idle    2025-03-06 10:30:15

  Total: 1 agent
  hint: This agent is ephemeral. Start daemon for persistence: openfang start

JSON Output

$ openfang agent list --json
[
  {
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "name": "coder",
    "state": "idle",
    "provider": "anthropic",
    "model": "claude-sonnet-4-20250514",
    "created_at": "2025-03-06T10:30:15Z"
  },
  {
    "id": "e5f6g7h8-i9j0-k1l2-m3n4-o5p6q7r8s9t0",
    "name": "assistant",
    "state": "processing",
    "provider": "groq",
    "model": "llama-3.3-70b-versatile",
    "created_at": "2025-03-06T11:15:42Z"
  }
]

Scripting Example:

# Get all agent IDs
openfang agent list --json | jq -r '.[].id'

# Count agents by provider
openfang agent list --json | jq 'group_by(.provider) | map({provider: .[0].provider, count: length})'

# Find agents by state
openfang agent list --json | jq '.[] | select(.state == "idle")'

Interactive Chat

openfang agent chat

Start an interactive chat session with a specific agent.

openfang agent chat <AGENT_ID>

Arguments:

Argument	Description
`<AGENT_ID>`	Agent UUID (obtain from `openfang agent list`)

Behavior:

Opens a REPL-style chat loop
Type messages at the you> prompt
Agent responses display at the agent> prompt
Shows token usage and iteration count after each response
Type exit, quit, or press Ctrl+C to end the session

Example Session:

$ openfang agent chat a1b2c3d4-e5f6-7890-abcd-ef1234567890

  Chat with: coder
  Type 'exit' or 'quit' to end. Press Ctrl+C to interrupt.

you> Write a function to calculate Fibonacci numbers

agent> Here's an efficient implementation using dynamic programming:

```python
def fibonacci(n):
    if n <= 1:
        return n
    a, b = 0, 1
    for _ in range(2, n + 1):
        a, b = b, a + b
    return b

This runs in O(n) time and O(1) space. [tokens: 245 | iterations: 1] you> Now optimize it with memoization agent> Here’s the memoized version:

from functools import lru_cache

@lru_cache(maxsize=None)
def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

The @lru_cache decorator automatically caches results. [tokens: 189 | iterations: 1] you> exit Session ended.

<Note>
  Chat sessions support multi-turn conversations with full context retention.
</Note>

### Quick Chat Shortcut

For convenience, you can use `openfang chat` as a shortcut:

```bash
# Chat with the default agent
openfang chat

# Chat with a specific agent by name
openfang chat coder

# Chat with a specific agent by UUID
openfang chat a1b2c3d4-e5f6-7890-abcd-ef1234567890

One-Shot Messages

openfang message

Send a single message to an agent without entering interactive mode.

openfang message <AGENT> <TEXT> [--json]

Arguments:

Argument	Description
`<AGENT>`	Agent name or UUID
`<TEXT>`	Message text

Options:

Option	Description
`--json`	Output as JSON for scripting

Example:

$ openfang message coder "Explain async/await in JavaScript"

  coder:

  async/await is syntactic sugar for Promises:

  - `async` function always returns a Promise
  - `await` pauses execution until Promise resolves
  - Makes async code look synchronous

  Example:
  ```javascript
  async function fetchData() {
    const response = await fetch('/api/data');
    const data = await response.json();
    return data;
  }

[tokens: 312 | iterations: 1]

**JSON Output:**

```bash
$ openfang message coder "What is CORS?" --json
{
  "agent": "coder",
  "response": "CORS (Cross-Origin Resource Sharing) is a security...",
  "tokens": 425,
  "iterations": 1
}

Agent Lifecycle Management

openfang agent kill

Terminate a running agent.

openfang agent kill <AGENT_ID>

Arguments:

Argument	Description
`<AGENT_ID>`	Agent UUID to terminate

Example:

$ openfang agent kill a1b2c3d4-e5f6-7890-abcd-ef1234567890
[ok] Agent terminated: coder

Killing an agent permanently deletes it. This action cannot be undone.

openfang agent set

Modify agent properties (currently supports model changes).

openfang agent set <AGENT_ID> <FIELD> <VALUE>

Arguments:

Argument	Description
`<AGENT_ID>`	Agent UUID
`<FIELD>`	Field to set (currently only `model`)
`<VALUE>`	New value

Example:

# Switch agent to a different model
$ openfang agent set a1b2c3d4 model gpt-4o
[ok] Updated agent model to: gpt-4o

# Verify the change
$ openfang agent list
  ID          NAME    STATE   PROVIDER   MODEL
  a1b2c3d4... coder   idle    openai     gpt-4o

Session Management

openfang sessions

List conversation sessions for agents.

openfang sessions [<AGENT>] [--json]

Arguments:

Argument	Description
`<AGENT>`	Optional agent name or ID to filter by

Options:

Option	Description
`--json`	Output as JSON for scripting

Example:

$ openfang sessions coder

  Sessions for: coder

  SESSION ID                            STARTED             MESSAGES  LAST ACTIVITY
  s1a2b3c4-d5e6-f7g8-h9i0-j1k2l3m4n5o6  2025-03-06 10:30   45        2 hours ago
  s2b3c4d5-e6f7-g8h9-i0j1-k2l3m4n5o6p7  2025-03-05 14:20   12        1 day ago

  Total: 2 sessions

All Sessions:

$ openfang sessions

  All Sessions

  AGENT       SESSION ID        STARTED             MESSAGES
  coder       s1a2b3c4...       2025-03-06 10:30   45
  coder       s2b3c4d5...       2025-03-05 14:20   12
  assistant   s3c4d5e6...       2025-03-06 09:15   23

  Total: 3 sessions

Agent Templates

OpenFang includes several built-in agent templates:

Built-in Templates

Template	Description	Recommended Model
`assistant`	General-purpose assistant for everyday tasks	`gpt-4o`, `claude-sonnet-4`
`coder`	Code generation, review, and debugging	`claude-sonnet-4`, `gpt-4o`
`researcher`	Web research and information gathering	`gemini-2.5-flash`, `perplexity`
`writer`	Content creation and editing	`claude-sonnet-4`, `gpt-4o`
`analyst`	Data analysis and visualization	`gpt-4o`, `gemini-2.5-flash`
`debugger`	Advanced debugging and error analysis	`claude-sonnet-4`, `deepseek-chat`
`architect`	System design and architecture planning	`claude-sonnet-4`, `gpt-4o`

Custom Templates

Create custom agent templates in ~/.openfang/agents/:

~/.openfang/agents/
  my-agent/
    agent.toml      # Manifest
    README.md       # Optional documentation
    skills/         # Optional bundled skills

Example Custom Template:

# ~/.openfang/agents/my-agent/agent.toml
name = "my-agent"
role = "Custom role description"

[model]
provider = "anthropic"
model = "claude-sonnet-4-20250514"
max_tokens = 4096
temperature = 0.7

[skills]
enabled = ["web-search", "code-reviewer"]

[instructions]
system_prompt = "You are a helpful assistant specialized in..."

[memory]
max_context_messages = 50
retention_days = 30

Advanced Usage

Batch Agent Creation

# Spawn multiple agents from a list
for template in coder analyst researcher; do
  openfang agent new $template
done

Agent Health Monitoring

# Check for idle agents
openfang agent list --json | jq '.[] | select(.state == "idle") | .name'

# Count agents by state
openfang agent list --json | jq 'group_by(.state) | map({state: .[0].state, count: length})'

Clean Up Stale Agents

# Kill all idle agents
for id in $(openfang agent list --json | jq -r '.[] | select(.state == "idle") | .id'); do
  openfang agent kill $id
done

REST API

CLI Reference

OpenAI Compatibility

Agent Commands

Agent Commands

Creating Agents

openfang agent new

openfang agent spawn

Listing Agents

openfang agent list

JSON Output

Interactive Chat

openfang agent chat

One-Shot Messages

openfang message

Agent Lifecycle Management

openfang agent kill

openfang agent set

Session Management

openfang sessions

Agent Templates

Built-in Templates

Custom Templates

Advanced Usage

Batch Agent Creation

Agent Health Monitoring

Clean Up Stale Agents

Next Steps

Workflow Commands

Skill Commands

Build docs developers (and LLMs) love

REST API

CLI Reference

OpenAI Compatibility

Documentation Index

​Agent Commands

​Creating Agents

​openfang agent new

​openfang agent spawn

​Listing Agents

​openfang agent list

​JSON Output

​Interactive Chat

​openfang agent chat

​One-Shot Messages

​openfang message

​Agent Lifecycle Management

​openfang agent kill

​openfang agent set

​Session Management

​openfang sessions

​Agent Templates

​Built-in Templates

​Custom Templates

​Advanced Usage

​Batch Agent Creation

​Agent Health Monitoring

​Clean Up Stale Agents

​Next Steps

Workflow Commands

Skill Commands

Build docs developers (and LLMs) love

Agent Commands

Creating Agents

openfang agent new

openfang agent spawn

Listing Agents

openfang agent list

JSON Output

Interactive Chat

openfang agent chat

One-Shot Messages

openfang message

Agent Lifecycle Management

openfang agent kill

openfang agent set

Session Management

openfang sessions

Agent Templates

Built-in Templates

Custom Templates

Advanced Usage

Batch Agent Creation

Agent Health Monitoring

Clean Up Stale Agents

Next Steps