Comparison
ECC vs lobehub
Verdict
Pick ECC if eCC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development; pick lobehub if lobeHub is a platform for managing AI agents, offering features like scheduling, deployment, and reporting. It's developed in TypeScript under an 'Other' license.
Markdown twin · ECC alternatives · lobehub alternatives
GraphCanon updated Sep 30, 2026
18views this month
Trust & integrity
| Signal | ECC | lobehub |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 6, 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
- ECC
- Agent harness performance optimization system for AI agents and LLMs
- lobehub
- Your Chief Agent Operator for managing AI agents
Stars
- ECC
- 261k
- lobehub
- 82k
Forks
- ECC
- 39k
- lobehub
- 16k
Open issues
- ECC
- 227
- lobehub
- 768
Language
- ECC
- JavaScript
- lobehub
- TypeScript
Adopt for
- ECC
- ECC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development.
- lobehub
- LobeHub is a platform for managing AI agents, offering features like scheduling, deployment, and reporting. It's developed in TypeScript under an 'Other' license.
Persona
- ECC
- -
- lobehub
- -
Runtime
- ECC
- -
- lobehub
- -
License
- ECC
- MIT
- lobehub
- Other
Last pushed
- ECC
- Sep 17, 2026
- lobehub
- Aug 18, 2026
Categories
- ECC
- AI Agents, Developer Tools, LLM Frameworks
- lobehub
- AI Agents
Trust and health
Open issues (now)
- ECC
- 227
- lobehub
- 768
Stars delta
- ECC
- +21k (30d)
- lobehub
- +1.3k (30d)
Open issues delta
- ECC
- +105 (30d)
- lobehub
- +142 (30d)
Owner type
- ECC
- User
- lobehub
- Organization
OSV dependency advisories
- ECC
- No published findings from this source as of 2026-09-18
- lobehub
- No lockfile (source not queried)
Full report
- ECC
- Trust report
- lobehub
- Trust report
Typed relationship
ECC alternative lobehubBoth ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches.
Choose ECC if…
- ECC is primarily JavaScript; lobehub is TypeScript.
- License: ECC is MIT, lobehub is Other.
- Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month..
- Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands..
- Both ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches.
- Tags unique to ECC: ai-agents, anthropic, claude-code, developer-tools.
- Also covers Developer Tools, LLM Frameworks.
- Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor.
When NOT to use ECC
- Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor.
- Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support.
Choose lobehub if…
- lobehub is primarily TypeScript; ECC is JavaScript.
- License: lobehub is Other, ECC is MIT.
- Pricing: Pricing information for LobeHub is not specified. The platform uses an 'Other' license type which suggests the terms are unique to its offering and should be checked directly with the project..
- Requirements: Requires Docker; Self-hosting is supported through Docker, providing flexibility in deployment..
- Both ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches.
- Tags unique to lobehub: agent-collaboration, agent-harness, chatgpt, gemini.
- lobehub ships Docker support for self-hosted deployment.
- lobehub ships an MCP server manifest.
- - When you need comprehensive management of your AI agents to ensure they are operating efficiently around the clock (24/7). LobeHub can help organize your agents through task assignment, monitoring,
When NOT to use lobehub
- - If you require a platform with pre-built integrations for specific AI agent types that aren't part of its current support base.
- - When the project is highly sensitive to data security and requires a more established and certified hosting environment as LobeHub’s self-hosted version using Docker may not meet stringent security,
- compliance requirements out-of-the-box.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (affaan-m/ECC) · observed Sep 20, 2026
- GitHub forks (affaan-m/ECC) · observed Sep 20, 2026
- Last push (affaan-m/ECC) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (lobehub/lobehub) · observed Sep 20, 2026
- GitHub forks (lobehub/lobehub) · observed Sep 20, 2026
- Last push (lobehub/lobehub) · observed Aug 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Sep 6, 2026
GitHub stars on cards: ECC 261k · lobehub 82k (synced Sep 20, 2026).
Common questions
- What is the difference between ECC and lobehub?
- ECC: Agent harness performance optimization system for AI agents and LLMs. lobehub: Your Chief Agent Operator for managing AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose ECC over lobehub?
- Choose ECC over lobehub when ECC is primarily JavaScript; lobehub is TypeScript; License: ECC is MIT, lobehub is Other; Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month.; Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands.; Both ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches; Tags unique to ECC: ai-agents, anthropic, claude-code, developer-tools; Also covers Developer Tools, LLM Frameworks; Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor.
- When should I choose lobehub over ECC?
- Choose lobehub over ECC when lobehub is primarily TypeScript; ECC is JavaScript; License: lobehub is Other, ECC is MIT; Pricing: Pricing information for LobeHub is not specified. The platform uses an 'Other' license type which suggests the terms are unique to its offering and should be checked directly with the project.; Requirements: Requires Docker; Self-hosting is supported through Docker, providing flexibility in deployment.; Both ECC and LobeHub aim at orchestrating AI agents for continuous operations. They address similar objectives but may have different feature sets or approaches; Tags unique to lobehub: agent-collaboration, agent-harness, chatgpt, gemini; lobehub ships Docker support for self-hosted deployment; lobehub ships an MCP server manifest; - When you need comprehensive management of your AI agents to ensure they are operating efficiently around the clock (24/7). LobeHub can help organize your agents through task assignment, monitoring,.
- When should I avoid ECC?
- Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor. Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support.
- When should I avoid lobehub?
- - If you require a platform with pre-built integrations for specific AI agent types that aren't part of its current support base. - When the project is highly sensitive to data security and requires a more established and certified hosting environment as LobeHub’s self-hosted version using Docker may not meet stringent security, compliance requirements out-of-the-box.
- Is ECC or lobehub more popular on GitHub?
- ECC has more GitHub stars (261,432 vs 81,810). Stars measure visibility, not whether either tool fits your constraints.
- Are ECC and lobehub open source?
- Yes - both are open-source projects on GitHub (ECC: MIT, lobehub: Other).
- Where can I find alternatives to ECC or lobehub?
- GraphCanon lists graph-backed alternatives at ECC alternatives and lobehub alternatives (ECC markdown twin, lobehub 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, ECC or lobehub?
- ECC: Very active. lobehub: 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 ECC and lobehub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; lobehub trust report.