DSPy Agents

DSPy Agents

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@dspyagents
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Programmatic LLM agents

FrameworkGitHubActive
Evidence Ranked⬡ Machine-callable

History

66 daily snapshots · since May 22
#40 42 places over recorded life
May 22Jul 26

⚓ 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 6,846 (universal rank #40). 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").

SCORE6,846
RANK#40
VIS4
REP1
7D+5
◆ Evidence Breakdown
GH
88.23
PKG
98.36
DEP
80.99
DOC
71
DIS
38.18
ECO
1.06
◆ Signal SourcesRaw values from primary sources
GitHub Activity88.23GitHub
Package Usage98.36
Dependency Adoption80.99
Docs Quality71Source
Ecosystem1.06
HN Discourse38.18HN
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
Ecosystem Map
No ecosystem connections mapped yet.
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