Home/Compare/agentops vs agentos

Comparison

agentops vs agentos

Verdict

Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Markdown twin · agentops alternatives · agentos alternatives

GraphCanon updated 1d

agentops logo

agentops

AgentOps-AI/agentops

5.8kpushed Jun 25, 2026
vs
agentos logo

agentos

framerslab/agentos

617pushed Aug 7, 2026

Trust & integrity

Signalagentopsagentos
Maintenance
Steady (49d since push)
As of 1w · github_public_v1
Active (15d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

agentops
Python SDK for AI agent monitoring and LLM cost tracking
agentos
TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration

Stars

agentops
5.8k
agentos
617

Forks

agentops
612
agentos
92

Open issues

agentops
176
agentos
10

Language

agentops
Python
agentos
TypeScript

Adopt for

agentops
AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
agentos
AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Persona

agentops
-
agentos
-

Runtime

agentops
-
agentos
-

License

agentops
MIT
agentos
Apache-2.0

Last pushed

agentops
Jun 25, 2026
agentos
Aug 7, 2026

Categories

agentops
AI Agents, Evaluation & Observability
agentos
AI Agents

Trust and health

Maintenance

agentops
Steady (60%)
agentos
Active (82%)

Days since push

agentops
49d
agentos
15d

Open issues (now)

agentops
176
agentos
10

Stars delta

agentops
Unknown
agentos
+16 (30d)

Open issues delta

agentops
Unknown
agentos
+1 (30d)

Full report

agentops
Trust report

Choose agentops if…

  • agentops is primarily Python; agentos is TypeScript.
  • License: agentops is MIT, agentos is Apache-2.0.
  • Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
  • Also covers Evaluation & Observability.
  • Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK

When NOT to use agentops

  • If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
  • In case self-hosting of components is impractical due to resource constraints

Choose agentos if…

  • agentos is primarily TypeScript; agentops is Python.
  • License: agentos is Apache-2.0, agentops is MIT.
  • Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
  • Need for cognitive memory and real-time tool generation in AI agents

When NOT to use agentos

  • Preferring frameworks without multi-agent orchestration support
  • Prioritizing environments with less than eleven LLM provider options

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentops 5.8k · agentos 617 (synced Aug 14, 2026).

Common questions

What is the difference between agentops and agentos?
agentops: Python SDK for AI agent monitoring and LLM cost tracking. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories.
When should I choose agentops over agentos?
Choose agentops over agentos when agentops is primarily Python; agentos is TypeScript; License: agentops is MIT, agentos is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
When should I choose agentos over agentops?
Choose agentos over agentops when agentos is primarily TypeScript; agentops is Python; License: agentos is Apache-2.0, agentops is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.
When should I avoid agentops?
If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
When should I avoid agentos?
Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
Is agentops or agentos more popular on GitHub?
agentops has more GitHub stars (5,771 vs 617). Stars measure visibility, not whether either tool fits your constraints.
Are agentops and agentos open source?
Yes - both are open-source projects on GitHub (agentops: MIT, agentos: Apache-2.0).
Where can I find alternatives to agentops or agentos?
GraphCanon lists graph-backed alternatives at agentops alternatives and agentos alternatives (agentops markdown twin, agentos 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, agentops or agentos?
agentops: Steady. agentos: 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 agentops and agentos?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agentos trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.