agenticore 0.1.3

Claude Code runner and orchestrator — thin job lifecycle, repo management, and OTEL pipeline

Agenticore

Claude Code runner and orchestrator. Manages job lifecycle, repo cloning/caching, profile-based execution, auto-PR creation, and OTEL observability pipeline.

How It Works

Request (MCP or REST)
  │
  ├─ Router selects profile
  ├─ Clone/fetch repo (flock-protected cache)
  ├─ Spawn: claude --worktree -p "task" (with profile flags + OTEL env)
  ├─ Collect telemetry → OTEL Collector → Langfuse + PostgreSQL
  ├─ Ship Claude session transcript → Langfuse (via SDK)
  ├─ Auto-PR on success (when profile enables it)
  └─ Job result → Redis (or file fallback)

1. Takes a task via MCP tool or REST API
2. Clones the repo into a cached directory (flock-serialized, reuses on subsequent runs)
3. Runs Claude Code as a subprocess with profile-derived CLI flags and OTEL environment
4. Streams telemetry through Claude's native OTEL support to a collector (exported to Langfuse and/or PostgreSQL)
5. Ships transcripts from the Claude session to Langfuse as spans for full visibility
6. Creates a PR automatically if the profile has auto_pr: true and the job succeeds

Quick Start

Local (no Docker)

pip install -e .

# Start server with SSE transport (HTTP server on :8200)
AGENTICORE_TRANSPORT=sse agenticore serve

# Or stdio transport (for use as an MCP server in Claude Code)
python -m agenticore

Docker Compose (local development)

The compose stack spins up agenticore alongside local Redis, PostgreSQL, and an OTEL Collector so you can test the full pipeline without any external infrastructure.

cp .env.example .env
# Edit .env — at minimum set GITHUB_TOKEN if you want auto-PR

docker compose up --build -d

This starts:

Service	Purpose	Port
agenticore	The runner server	8200
redis	Job store	6379
postgres	OTEL telemetry sink	5432
otel-collector	Receives OTEL from Claude, exports to Langfuse + Postgres	4317 (gRPC), 4318 (HTTP)

All services are wired together automatically — agenticore points at redis://redis:6379/0 and the OTEL collector at http://otel-collector:4317.

Production Deployment

In production you run only the agenticore container. Redis, PostgreSQL, and the OTEL Collector are external managed services (e.g., AWS ElastiCache, RDS, a hosted OTEL backend).

docker build -t agenticore .

docker run -d \
  -p 8200:8200 \
  -e AGENTICORE_TRANSPORT=sse \
  -e AGENTICORE_HOST=0.0.0.0 \
  -e AGENTICORE_PORT=8200 \
  -e REDIS_URL=redis://your-redis-host:6379/0 \
  -e AGENTICORE_OTEL_ENABLED=true \
  -e OTEL_EXPORTER_OTLP_ENDPOINT=https://your-otel-collector:4317 \
  -e OTEL_EXPORTER_OTLP_PROTOCOL=grpc \
  -e POSTGRES_URL=postgresql://user:pass@your-postgres:5432/agenticore \
  -e GITHUB_TOKEN=ghp_... \
  agenticore

The key difference from local dev:

Concern	Local (docker-compose)	Production
Redis	Local container (redis:7-alpine)	External managed service
PostgreSQL	Local container (postgres:16-alpine)	External managed service
OTEL Collector	Local container (otel-collector-contrib)	External hosted collector
Agenticore	Built from source	Same image, external config
Config	Hardcoded service names	Env vars pointing to real endpoints

If Redis is unavailable, agenticore falls back to file-based job storage at ~/.agenticore/jobs/. This means you can run without Redis entirely for simple setups.

Configuration

All configuration is loaded from ~/.agenticore/config.yml with environment variable overrides. Env vars always take priority.

Environment Variables

Server

Variable	Default	Description
AGENTICORE_TRANSPORT	stdio	sse for HTTP server, stdio for MCP pipe
AGENTICORE_HOST	127.0.0.1	Bind address (0.0.0.0 in Docker)
AGENTICORE_PORT	8200	Server port
AGENTICORE_API_KEYS	(empty)	Comma-separated API keys for auth (optional)

Redis

Variable	Default	Description
REDIS_URL	(empty)	Redis connection URL. Empty = file fallback
REDIS_KEY_PREFIX	agenticore	Key namespace prefix (keys: {prefix}:job:{id})

Claude Code

Variable	Default	Description
AGENTICORE_CLAUDE_BINARY	claude	Path to Claude Code binary
AGENTICORE_CLAUDE_TIMEOUT	3600	Max job runtime in seconds
AGENTICORE_DEFAULT_PROFILE	code	Profile used when none specified
AGENTICORE_CLAUDE_CONFIG_DIR	(empty)	Custom Claude config directory

Repos

Variable	Default	Description
AGENTICORE_REPOS_ROOT	~/agenticore-repos	Clone cache directory
AGENTICORE_MAX_PARALLEL_JOBS	3	Max concurrent jobs
AGENTICORE_JOB_TTL	86400	Job expiry in seconds

OTEL

Variable	Default	Description
AGENTICORE_OTEL_ENABLED	true	Enable/disable telemetry
OTEL_EXPORTER_OTLP_ENDPOINT	http://otel-collector:4317	Collector endpoint
OTEL_EXPORTER_OTLP_PROTOCOL	grpc	OTLP protocol (grpc or http)
AGENTICORE_OTEL_LOG_PROMPTS	false	Log user prompts to telemetry
AGENTICORE_OTEL_LOG_TOOL_DETAILS	true	Log tool execution to telemetry

GitHub

Variable	Default	Description
GITHUB_TOKEN	(empty)	GitHub token for auto-PR (uses gh CLI)

Langfuse

Variable	Default	Description
LANGFUSE_HOST	https://cloud.langfuse.com	Langfuse API host
LANGFUSE_PUBLIC_KEY	(empty)	Langfuse public key (enables SDK tracing)
LANGFUSE_SECRET_KEY	(empty)	Langfuse secret key
LANGFUSE_BASIC_AUTH	(empty)	Base64(public_key:secret_key) for OTEL collector

Agentihooks

Variable	Default	Description
AGENTICORE_AGENTIHOOKS_PATH	(empty)	Path to cloned agentihooks repo (e.g. /app)

PostgreSQL

Variable	Default	Description
POSTGRES_URL	(empty)	PostgreSQL connection URL (OTEL sink)

MCP Tools

Connect agenticore as an MCP server in Claude Code or any MCP client. All task submissions are async (fire and forget) by default — pass wait=true to block until completion.

Tool	Description
run_task	Submit a task (async by default, wait=true to block)
get_job	Get job status, output, artifacts, and PR URL
list_jobs	List recent jobs with status
cancel_job	Cancel a running job
list_profiles	List available execution profiles

REST API

When running with AGENTICORE_TRANSPORT=sse, the same operations are available over HTTP. Same semantics: async by default, "wait": true to block.

# Submit a job (async — returns job ID immediately)
curl -X POST http://localhost:8200/jobs \
  -H "Content-Type: application/json" \
  -d '{"task": "fix the auth bug", "repo_url": "https://github.com/org/repo"}'

# Submit and wait for completion
curl -X POST http://localhost:8200/jobs \
  -H "Content-Type: application/json" \
  -d '{"task": "fix the auth bug", "repo_url": "https://github.com/org/repo", "wait": true}'

# Check status
curl http://localhost:8200/jobs/{job_id}

# List jobs
curl http://localhost:8200/jobs

# Cancel
curl -X DELETE http://localhost:8200/jobs/{job_id}

# List profiles
curl http://localhost:8200/profiles

# Health check
curl http://localhost:8200/health

If AGENTICORE_API_KEYS is set, include X-API-Key: <key> header or ?api_key=<key> query param.

Profiles

Profiles are directory-based packages that define how Claude Code runs. Each profile is a directory containing a profile.yml for agenticore-specific metadata, plus native Claude Code config files (.claude/ directory and .mcp.json).

Default profiles are bundled in defaults/profiles/. External profiles can be loaded from an agentihooks repo via AGENTICORE_AGENTIHOOKS_PATH. Custom profiles go in ~/.agenticore/profiles/ and override everything with the same name.

Profile priority (highest wins): user (~/.agenticore/profiles/) > agentihooks > defaults.

Directory Structure

profiles/
  code/
    profile.yml              # Agenticore metadata
    .claude/
      CLAUDE.md              # Profile-specific instructions
      settings.json          # Tool permissions
    .mcp.json                # MCP server config (optional)
  review/
    profile.yml
    .claude/
      CLAUDE.md
      settings.json
    .mcp.json

code (default)

Autonomous coding worker. Writes code, commits, and triggers auto-PR.

name: code
description: "Autonomous coding worker"
claude:
  model: sonnet
  max_turns: 80
  permission_mode: bypassPermissions
  no_session_persistence: true
  output_format: json
  worktree: true
  effort: high
  timeout: 3600
auto_pr: true

review

Read-only code reviewer. Analyzes code without modifying files.

name: review
description: "Code review analyst"
claude:
  model: haiku
  max_turns: 20
  permission_mode: bypassPermissions
  no_session_persistence: true
  output_format: json
  worktree: true
  timeout: 1800
auto_pr: false

Profile Fields

Field	Description
claude.model	Claude model to use (sonnet, haiku, opus)
claude.max_turns	Maximum agentic turns
claude.output_format	Output format (json, text, stream-json)
claude.permission_mode	Permission mode for tool use
claude.no_session_persistence	Disable session persistence (default: true)
claude.effort	Effort level (e.g. high)
claude.timeout	Job timeout in seconds
claude.worktree	Use git worktree (isolates from main branch)
claude.max_budget_usd	Optional max budget in USD
claude.fallback_model	Optional fallback model
auto_pr	Create PR on successful completion
extends	Inherit from another profile

Architecture

Modules

Module	Purpose
server.py	FastMCP server (5 tools) + REST routes + SSE
config.py	YAML config loader with env var overrides
profiles.py	Load profile packages into CLI flags
repos.py	Git clone/fetch with flock serialization
jobs.py	Job store — Redis hash or JSON file fallback
runner.py	Spawn Claude subprocess with OTEL env vars
telemetry.py	Langfuse trace lifecycle + transcript shipping
router.py	Profile selection (explicit or default)
pr.py	Auto-PR via git push + gh pr create
cli.py	CLI client (agenticore run, agenticore serve, etc.)

Container

The Dockerfile builds a Python 3.12 image with:

• git and curl for repo operations
• gh CLI for auto-PR creation
• Claude Code must be available at the path specified by AGENTICORE_CLAUDE_BINARY

The container exposes port 8200 and runs in SSE transport mode by default.

OTEL Pipeline

Claude Code (subprocess)
  │ OTLP gRPC/HTTP
  ▼
OTEL Collector
  │ batch processor
  ├──► Langfuse (otlphttp/langfuse)
  └──► PostgreSQL / debug

Claude Code has native OTEL support. Agenticore sets the OTEL env vars on the subprocess so telemetry flows to the OTEL Collector, which exports to both Langfuse (via OTLP HTTP) and PostgreSQL/debug. Additionally, the runner ships Claude session transcripts directly to Langfuse via the SDK as spans on the job trace.

Set LANGFUSE_PUBLIC_KEY + LANGFUSE_SECRET_KEY to enable SDK-level tracing. Set LANGFUSE_BASIC_AUTH for the OTEL collector export path.

CLI

agenticore run "fix the bug" \  # Submit task (async, returns job ID)
  --repo https://github.com/org/repo \
  --profile code
agenticore run "add tests" --wait  # Submit and wait for completion
agenticore jobs                 # List recent jobs
agenticore job <id>             # Get job details
agenticore cancel <id>          # Cancel a running job
agenticore profiles             # List available profiles
agenticore serve                # Start the server (SSE mode)
agenticore status               # Server health check
agenticore version              # Print version

Development

pip install -e ".[dev]"

# Tests
pytest tests/unit -v -m unit --cov=agenticore

# Lint
ruff check agenticore/ tests/
ruff format --check agenticore/ tests/

Code Quality

This project is continuously analyzed by SonarQube for code quality, security vulnerabilities, and test coverage.