Comparison
agentops vs imcodes
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 imcodes if imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI.
Markdown twin · agentops alternatives · imcodes alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | agentops | imcodes |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal 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 15, 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- imcodes
- Shared Agent Context & Memory with Supervised Execution
Stars
- agentops
- 5.8k
- imcodes
- 973
Forks
- agentops
- 625
- imcodes
- 121
Open issues
- agentops
- 184
- imcodes
- 2
Language
- agentops
- Python
- imcodes
- TypeScript
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- imcodes
- imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI.
Persona
- agentops
- -
- imcodes
- -
Runtime
- agentops
- -
- imcodes
- -
License
- agentops
- MIT
- imcodes
- Available under the MIT License, permitting free use, modification, distribution, but not liable for any damages or problems derived from its usage.
Last pushed
- agentops
- Jun 25, 2026
- imcodes
- Sep 20, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- imcodes
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- imcodes
- Very active (96%)
Days since push
- agentops
- 86d
- imcodes
- 0d
Open issues (now)
- agentops
- 184
- imcodes
- 2
Stars delta
- agentops
- +59 (30d)
- imcodes
- -43 (30d)
Open issues delta
- agentops
- +8 (30d)
- imcodes
- +2 (30d)
Owner type
- agentops
- Organization
- imcodes
- User
Full report
- agentops
- Trust report
- imcodes
- Trust report
Choose agentops if…
- agentops is primarily Python; imcodes is TypeScript.
- Tags unique to agentops: benchmarking, cost-tracking.
- 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 imcodes if…
- imcodes is primarily TypeScript; agentops is Python.
- Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems..
- Tags unique to imcodes: automation, claude, codex, cross-agent-audit.
- imcodes ships Docker support for self-hosted deployment.
- imcodes ships an MCP server manifest.
- When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation.
When NOT to use imcodes
- If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons.
- When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (im4codes/imcodes) · observed Sep 20, 2026
- GitHub forks (im4codes/imcodes) · observed Sep 20, 2026
- Last push (im4codes/imcodes) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentops 5.8k · imcodes 973 (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and imcodes?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. imcodes: Shared Agent Context & Memory with Supervised Execution. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over imcodes?
- Choose agentops over imcodes when agentops is primarily Python; imcodes is TypeScript; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose imcodes over agentops?
- Choose imcodes over agentops when imcodes is primarily TypeScript; agentops is Python; Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.; Tags unique to imcodes: automation, claude, codex, cross-agent-audit; imcodes ships Docker support for self-hosted deployment; imcodes ships an MCP server manifest; When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation.
- 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 imcodes?
- If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons. When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance.
- Is agentops or imcodes more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 973). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and imcodes open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, imcodes: MIT).
- Where can I find alternatives to agentops or imcodes?
- GraphCanon lists graph-backed alternatives at agentops alternatives and imcodes alternatives (agentops markdown twin, imcodes 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 imcodes?
- agentops: Steady. imcodes: 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 agentops and imcodes?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; imcodes trust report.