Comparison
XAgent vs awesome
Verdict
Pick XAgent when license: XAgent is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, XAgent is Apache-2.0.
Markdown twin · XAgent alternatives · awesome alternatives
GraphCanon updated today
Trust & integrity
| Signal | XAgent | awesome |
|---|---|---|
| Maintenance | Dormant (698d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- XAgent
- An Autonomous LLM Agent for Complex Task Solving
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- XAgent
- 8.5k
- awesome
- 484k
Forks
- XAgent
- 902
- awesome
- 36k
Open issues
- XAgent
- 64
- awesome
- 92
Language
- XAgent
- Python
- awesome
- -
Adopt for
- XAgent
- -
- awesome
- -
Persona
- XAgent
- -
- awesome
- -
Runtime
- XAgent
- -
- awesome
- -
License
- XAgent
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- XAgent
- Aug 12, 2024
- awesome
- Jun 30, 2026
Categories
- XAgent
- AI Agents, LLM Frameworks, Vector Databases
- awesome
- LLM Frameworks
Trust and health
Maintenance
- XAgent
- Dormant (18%)
- awesome
- Active (82%)
Days since push
- XAgent
- 698d
- awesome
- 11d
Open issues (now)
- XAgent
- 64
- awesome
- 92
Owner type
- XAgent
- Organization
- awesome
- User
Security scan
- XAgent
- No criticals
- awesome
- No lockfile
Full report
- XAgent
- Trust report
- awesome
- Trust report
Choose XAgent if…
- License: XAgent is Apache-2.0, awesome is CC0-1.0.
- Tags unique to XAgent: python.
- Also covers AI Agents, Vector Databases.
- XAgent ships Docker support for self-hosted deployment.
When NOT to use XAgent
- Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose awesome if…
- License: awesome is CC0-1.0, XAgent is Apache-2.0.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 8.5k) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (OpenBMB/XAgent) · observed Jul 11, 2026
- GitHub forks (OpenBMB/XAgent) · observed Jul 11, 2026
- Last push (OpenBMB/XAgent) · observed Aug 12, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: XAgent 8.5k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between XAgent and awesome?
- XAgent: An Autonomous LLM Agent for Complex Task Solving. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose XAgent over awesome?
- Choose XAgent over awesome when License: XAgent is Apache-2.0, awesome is CC0-1.0; Tags unique to XAgent: python; Also covers AI Agents, Vector Databases; XAgent ships Docker support for self-hosted deployment.
- When should I choose awesome over XAgent?
- Choose awesome over XAgent when License: awesome is CC0-1.0, XAgent is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 8.5k) - visibility, not fit.
- When should I avoid XAgent?
- Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is XAgent or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 8,522). Stars measure visibility, not whether either tool fits your constraints.
- Are XAgent and awesome open source?
- Yes - both are open-source projects on GitHub (XAgent: Apache-2.0, awesome: CC0-1.0).
- Where can I find alternatives to XAgent or awesome?
- GraphCanon lists graph-backed alternatives at XAgent alternatives and awesome alternatives (XAgent markdown twin, awesome 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, XAgent or awesome?
- XAgent: Dormant. awesome: 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 XAgent and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: XAgent trust report; awesome trust report.