agentica-server

parcadei/continuous-claude-v3 · updated Apr 8, 2026

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$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill agentica-server
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summary

Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.

skill.md

Agentica Server + Claude Proxy Setup

Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.

When to Use

Use this skill when:

  • Starting Agentica development with Claude proxy
  • Debugging connection issues between SDK, server, and proxy
  • Setting up a fresh Agentica environment
  • Troubleshooting agent tool access or hallucination issues

Architecture

Agentica SDK (client code)
    | S_M_BASE_URL=http://localhost:2345
    v
ClientSessionManager
    |
    v
Agentica Server (agentica-server)
    | INFERENCE_ENDPOINT_URL=http://localhost:8080/v1/chat/completions
    v
Claude Proxy (claude_proxy.py)
    |
    v
Claude CLI (claude -p)

Environment Variables

Variable Set By Used By Purpose
INFERENCE_ENDPOINT_URL Human agentica-server Where server sends LLM inference requests
S_M_BASE_URL Human Agentica SDK client Where SDK connects to session manager

KEY: These are NOT the same endpoint!

  • SDK connects to server (port 2345)
  • Server connects to proxy (port 8080)

Startup Sequence

Must start in this order (each in a separate terminal):

Terminal 1: Claude Proxy

uv run python scripts/agentica/claude_proxy.py --port 8080

Terminal 2: Agentica Server

MUST run from its directory:

cd workspace/agentica-research/agentica-server
INFERENCE_ENDPOINT_URL=http://localhost:8080/v1/chat/completions uv run agentica-server --port 2345

Terminal 3: Your Agent Script

S_M_BASE_URL=http://localhost:2345 uv run python scripts/agentica/your_script.py

Health Checks

# Claude proxy health
curl http://localhost:8080/health

# Agentica server health
curl http://localhost:2345/health

Common Errors & Fixes

1. APIConnectionError after agent spawn

Symptom: Agent spawns successfully but fails on first call with connection error.

Cause: Claude proxy returning plain JSON instead of SSE format.

Fix: Proxy must return Server-Sent Events format:

data: {"choices": [...]}\n\n

2. ModuleNotFoundError for agentica-server

Symptom: ModuleNotFoundError: No module named 'agentica_server'

Cause: Running uv run agentica-server from wrong directory.

Fix: Must cd workspace/agentica-research/agentica-server first.

3. Agent can't use Read/Write/Edit tools

Symptom: Agent asks for file contents instead of reading them.

Cause: Missing --allowedTools in claude_proxy.py CLI call.

Fix: Proxy must pass tool permissions:

claude -p ... --allowedTools Read Write Edit Bash

4. Agent claims success but didn't do task

Symptom: Agent says "I've created the file" but file doesn't exist.

Cause: Hallucination - agent describing intended actions without executing.

Fix: Added emphatic anti-hallucination prompt in REPL_BASELINE:

CRITICAL: Use ACTUAL tools. Never DESCRIBE using tools.

5. Timeout on agent.call()

Symptom: Call hangs for 30+ seconds then times out.

Cause: Claude CLI taking too long or stuck in a loop.

Fix: Check proxy logs for the actual CLI output. May need to simplify prompt.

Key Files

File Purpose
scripts/agentica/claude_proxy.py OpenAI-compatible proxy with SSE streaming
workspace/agentica-research/agentica-server/ Local agentica-server installation
scripts/agentica/PATTERNS.md Multi-agent pattern documentation

Quick Verification

Test the full stack:

# 1. Verify proxy responds
curl http://localhost:8080/health

# 2. Verify server responds
curl http://localhost:2345/health

# 3. Test inference through proxy
curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"claude","messages":[{"role":"user","content":"Say hello"}]}'

Checklist

Before running agents:

  • Claude proxy running on port 8080
  • Agentica server running on port 2345 (from its directory)
  • S_M_BASE_URL set for client scripts
  • INFERENCE_ENDPOINT_URL set for server
  • Both health checks return 200
how to use agentica-server

How to use agentica-server on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add agentica-server
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill agentica-server

The skills CLI fetches agentica-server from GitHub repository parcadei/continuous-claude-v3 and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agentica-server

Reload or restart Cursor to activate agentica-server. Access the skill through slash commands (e.g., /agentica-server) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.651 reviews
  • Omar Brown· Dec 28, 2024

    agentica-server has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hana Gonzalez· Dec 20, 2024

    Useful defaults in agentica-server — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Farah· Dec 12, 2024

    Solid pick for teams standardizing on skills: agentica-server is focused, and the summary matches what you get after install.

  • Omar Khanna· Dec 4, 2024

    Registry listing for agentica-server matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Luis Garcia· Nov 23, 2024

    agentica-server fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ren Bhatia· Nov 11, 2024

    agentica-server is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Meera Malhotra· Nov 11, 2024

    Keeps context tight: agentica-server is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ira Reddy· Nov 3, 2024

    Solid pick for teams standardizing on skills: agentica-server is focused, and the summary matches what you get after install.

  • Sakura Khan· Oct 22, 2024

    agentica-server has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Omar Wang· Oct 14, 2024

    We added agentica-server from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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