autonomous coding agent. Strong tool use and planning and memory and self-correction capabilities. 28K GitHub stars.
Metrics
Info
ProviderOpen Source
Organization that created the model
LicenseApache-2.0
Software license type
Agent Typecoding
Agent specialization area
Tool Integrations Count20
Number of supported tool integrations
Base Model Requirementsclaude-3.5-sonnet, gpt-4, gemini-2.0-flash
Required foundation models to operate
Other
GitHub Stars28K
GitHub repository popularity
Score Breakdown
adoption
15%94
Community usage, market traction, and ecosystem maturity
tool use
92
memory context
85
self reflection
82
planning reasoning
85
Compatibility(3)
Sources(2)
Related Signals(4)
GPT-4 Class Models Lead AgentBench at 44% Success Rate
AgentsDec 28
88AgentBench evaluation reveals GPT-4 class models achieve ~44% overall success rate across 8 real-world agent environments, while open-source alternatives score 15-30% lower. Operating System and Database tasks show the largest capability gaps, highlighting the challenge of autonomous agent development.
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Claude Code Leads AI Coding Agent Adoption
AgentsDec 18
91Claude Code has emerged as the most adopted AI coding agent, with developers citing superior code understanding, autonomous task completion, and seamless IDE integration as key differentiators.
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Tool Calling Adoption Accelerates Across LLM Providers
AgentsDec 1
87Tool invocation has seen consistent upward trend throughout 2025. Initially concentrated in GPT-4o-mini and Claude 3.5/3.7, tool use has diversified to Claude 4.5 Sonnet, Grok Code Fast, and GLM 4.5. Enabling tool use is becoming table stakes for enterprise adoption.
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Anthropic Defines Agentic System Architecture Patterns
AgentsDec 20
89Anthropic published definitive guidance distinguishing 'workflows' (predefined orchestration) from 'agents' (dynamic self-directed systems). Key patterns: prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer. Recommends simple patterns over complex frameworks.
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