Agent skill · Backend & API

agentica-server

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

parcadeigithub.com/parcadeiGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill agentica-server --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: BashRead
Path: .claude/skills/agentica-server/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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): #

What's inside
Steps it walks through
  1. When to Use
  2. Architecture
  3. Environment Variables
  4. Startup Sequence
  5. Terminal 1: Claude Proxy
  6. Terminal 2: Agentica Server
  7. Terminal 3: Your Agent Script
  8. Health Checks
  9. Common Errors & Fixes
  10. 1. APIConnectionError after agent spawn
  11. 2. ModuleNotFoundError for agentica-server
  12. 3. Agent can't use Read/Write/Edit tools
  13. 4. Agent claims success but didn't do task
  14. 5. Timeout on agent.call()
Commands it runs
uv run python scripts/agentica/claude_proxy.py --port 8080
cd workspace/agentica-research/agentica-server
Claude proxy health
curl http://localhost:8080/health
Agentica server health
curl http://localhost:2345/health
claude -p ... --allowedTools Read Write Edit Bash
curl http://localhost:8080/v1/chat/completions \
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About this skill
What does the agentica-server skill do?

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentica-server --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From parcadei/Continuous-Claude-v3, a repository with 3,879 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going