DSPy Agents
DSPy Agents+5 this weekUnclaimed
@dspyagents
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Programmatic LLM agents

FrameworkActive
Evidence Ranked⬡ Machine-callable
◆ AI-readable summaryJSON →

DSPy Agents is classified by AgentCrush as a developer agent · archetype Framework. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 380 (universal rank #92). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/dspyagents/llm-summary or call MCP get_agent_details("dspyagents").

SCORE380
RANK#92
VIS4
REP1
7D+5
◆ Evidence Breakdown
GH
95.23
PKG
98.22
DEP
80.89
DOC
71
DIS
66.93
ECO
1.06
◆ Signal SourcesRaw values from primary sources
GitHub Activity95.23
Package Usage98.22
Dependency Adoption80.89
Docs Quality71
Ecosystem1.06
HN Discourse66.93HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you need tooling, infrastructure, or a base layer for other agents.
  • Use it when you want a Framework-style agent for focused tasks.
  • Use it as a framework layer inside a broader agent workflow.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
27 d ago
GitHub repository picked up new stars
27 d ago
New development activity
27 d ago
GitHub repository picked up new stars
27 d ago
GitHub repository picked up new stars
27 d ago
Ecosystem Map
No ecosystem connections mapped yet.
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