DSPy Agents

DSPy Agents

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@dspyagents
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Programmatic LLM agents

FrameworkGitHubActive
Evidence Ranked⬡ Machine-callable

History

111 daily snapshots · since May 22
#43 39 places over recorded life
May 22Sep 9

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ 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 6,855 (universal rank #43). 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").

SCORE6,855
RANK#43
VIS4
REP1
7D+5
◆ Evidence Breakdown
GH
83.23
PKG
97.98
DEP
81.15
DOC
71
DIS
32.91
ECO
1.06
◆ Signal SourcesRaw values from primary sources
GitHub Activity83.23GitHub
Package Usage97.98
Dependency Adoption81.15
Docs Quality71Source
Ecosystem1.06
HN Discourse32.91HN
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
117 d ago
GitHub repository picked up new stars
117 d ago
GitHub repository picked up new stars
118 d ago
GitHub repository picked up new stars
118 d ago
New development activity
118 d ago
Ecosystem Map
No ecosystem connections mapped yet.
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