agent-control
Centralized agent control plane for governing runtime agent behavior at scale
GraphCanon updated Sep 11, 2026 · GitHub synced Sep 11, 2026
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Decision brief
agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API.
Good fit when
- Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- Ideal for projects requiring sophisticated runtime guardrails and flexible integration with both Python and TypeScript environments.
Avoid when
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management.
- Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 11, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 11, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install agent-controlSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Configurable, extensible, and production-ready centralized agent control system governed by UI or SDK/API.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 11, 2026)
Prerequisites: Docker (or Podman, see [Podman setup](#podman-setup)) and Python 3.12+.Source link
Tags
README
Quick Start Prerequisites: Docker (or Podman, see Podman setup) and Python 3.12+. Quick start flow: 2. Install the SDK Run this in your agent project directory. Python: TypeScript: See the TypeScript SDK example. License Apache 2.0. See LICENSE for details.
For agents
This page has a .md twin and JSON over the API.