Comparison
agent-control vs apm
Verdict
Pick agent-control if agent-control is a centralized control plane for managing the runtime behavior of AI agents, offering configurability and extensibility for production environments; pick apm if agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license.
Markdown twin · agent-control alternatives · apm alternatives
GraphCanon updated Sep 30, 2026
11views this month
vs
Trust & integrity
| Signal | agent-control | apm |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agent-control
- Centralized agent control plane for governing runtime agent behavior at scale
- apm
- Agent Package Manager
Stars
- agent-control
- 305
- apm
- 3.9k
Forks
- agent-control
- 51
- apm
- 364
Open issues
- agent-control
- 36
- apm
- 221
Language
- agent-control
- Python
- apm
- Python
Adopt for
- agent-control
- agent-control is a centralized control plane for managing the runtime behavior of AI agents, offering configurability and extensibility for production environments.
- apm
- Agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license.
Persona
- agent-control
- -
- apm
- -
Runtime
- agent-control
- -
- apm
- -
License
- agent-control
- Apache-2.0
- apm
- MIT
Last pushed
- agent-control
- Sep 9, 2026
- apm
- Sep 18, 2026
Categories
- agent-control
- AI Agents
- apm
- AI Agents
Trust and health
Open issues (now)
- agent-control
- 36
- apm
- 221
Stars delta
- agent-control
- +16 (30d)
- apm
- +470 (30d)
Open issues delta
- agent-control
- 0 (30d)
- apm
- +57 (30d)
Full report
- agent-control
- Trust report
- apm
- Trust report
Choose agent-control if…
- License: agent-control is Apache-2.0, apm is MIT.
- Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support may incur costs..
- Requirements: Min 2 GB RAM; Requires Docker; Requires Python 3.12+ and Docker or Podman for setup..
- Tags unique to agent-control: agentic-workflow, ai-safety, docker, guardrails.
- agent-control ships Docker support for self-hosted deployment.
- When you need a centralized system to govern the runtime behavior of multiple AI agents at scale.
When NOT to use agent-control
- If your project does not require centralized control over multiple agents and can manage agent behavior independently.
- If you are working with Python versions lower than 3.12 and cannot upgrade your environment.
- When you prefer not to use Docker or Podman for setting up the control plane.
- If your project does not need the flexibility of creating controls via a UI or SDK/API and can function with more rigid configurations.
Choose apm if…
- License: apm is MIT, agent-control is Apache-2.0.
- Tags unique to apm: ai-agents, claude-code, codex-cli, context-engineering.
- You focus on AI agent development with specific package needs
When NOT to use apm
- You prefer generic software or non-AI-specific package managers
- Requirements include support for languages other than Python
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentcontrol/agent-control) · observed Sep 20, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 20, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (microsoft/apm) · observed Sep 20, 2026
- GitHub forks (microsoft/apm) · observed Sep 20, 2026
- Last push (microsoft/apm) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 305 · apm 3.9k (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and apm?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. apm: Agent Package Manager. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-control over apm?
- Choose agent-control over apm when License: agent-control is Apache-2.0, apm is MIT; Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support may incur costs.; Requirements: Min 2 GB RAM; Requires Docker; Requires Python 3.12+ and Docker or Podman for setup.; Tags unique to agent-control: agentic-workflow, ai-safety, docker, guardrails; agent-control ships Docker support for self-hosted deployment; When you need a centralized system to govern the runtime behavior of multiple AI agents at scale.
- When should I choose apm over agent-control?
- Choose apm over agent-control when License: apm is MIT, agent-control is Apache-2.0; Tags unique to apm: ai-agents, claude-code, codex-cli, context-engineering; You focus on AI agent development with specific package needs.
- When should I avoid agent-control?
- If your project does not require centralized control over multiple agents and can manage agent behavior independently. If you are working with Python versions lower than 3.12 and cannot upgrade your environment. When you prefer not to use Docker or Podman for setting up the control plane. If your project does not need the flexibility of creating controls via a UI or SDK/API and can function with more rigid configurations.
- When should I avoid apm?
- You prefer generic software or non-AI-specific package managers Requirements include support for languages other than Python
- Is agent-control or apm more popular on GitHub?
- apm has more GitHub stars (3,855 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and apm open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, apm: MIT).
- Where can I find alternatives to agent-control or apm?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and apm alternatives (agent-control markdown twin, apm markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agent-control or apm?
- agent-control: Very active. apm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agent-control and apm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; apm trust report.