AgentIndex icon
AgentIndex
agent-lsp logo
agent-lsp
★ 163
vs
cc-equity-research logo
cc-equity-research
★ 97

agent-lsp vs cc-equity-research

agent-lsp: agent-lsp is a stateful runtime over real language servers. It indexes your workspace once, keeps the index warm, and adds a skill layer that encodes correct multi-step operations. It provides speculative execution, phase enforcement, and token savings for AI agents.; cc-equity-research: This project turns Claude Code into an equity research agent by combining a 24-skill library (9 from Anthropic, 15 community) with a single data MCP (drillr) that provides financial data, SEC filings, and alternative data. It features a personalized interface adapting to user expertise level and four slash commands (/discover, /analyze, /monitor, /macro) for efficient research workflow.

01

TL;DR

agent-lsp logo
agent-lspDev Tooling · ★ 163

Multi-project sessions: work across projects without reconfiguring

Read agent-lsp full review →
cc-equity-research logo
cc-equity-researchDev Tooling · ★ 97

Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews

Read cc-equity-research full review →
02

Side-by-Side Comparison

Field
agent-lsp logoagent-lsp
cc-equity-research logocc-equity-research
Category
Dev Tooling
Dev Tooling
Stars
★ 163
★ 97
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/blackwell-systems/agent-lsp/main/install.sh | sh
git clone https://github.com/prof-little-bear/cc-equity-research.git && cd cc-equity-research && claude
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentskills, ai-agents, ai-tooling
agentic-ai, ai-agents, anthropic
03

Features

agent-lsp logoagent-lsp
0165 tools for code intelligence
0230 CI-verified languages
0324 multi-step agent workflows (skills)
04Speculative execution to simulate changes before applying
05Phase enforcement to block out-of-order tool calls
cc-equity-research logocc-equity-research
0124 analysis skills (9 official Anthropic + 15 community) covering idea discovery, deep dives, monitoring, and macro research
02Single data MCP (drillr) consolidating institutional-grade data from SEC, earnings calls, ontology, alt-data, and macro sources
03Personalized interface that adapts tone, depth, and jargon to user expertise (sell-side, retail, academic, etc.)
04Four unified slash commands (/discover, /analyze, /monitor, /macro) for easy navigation
05Generous free data quota for individual users, eliminating need for expensive institutional subscriptions
04

Use Cases

agent-lsp logoagent-lsp
↳Multi-project sessions: work across projects without reconfiguring
↳Polyglot development: handle Go, TypeScript, Python in one session
↳Large monorepos: one server handles all languages
cc-equity-research logocc-equity-research
↳Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews
↳Portfolio managers monitoring thesis tracking, catalyst calendars, and morning notes
↳Retail investors performing deep dives on single companies with simplified jargon and educational tone
FAQ

FAQ

What is the difference between agent-lsp and cc-equity-research?
Both agent-lsp and cc-equity-research are in the Dev Tooling category. agent-lsp has 163 stars, while cc-equity-research has 97 stars.
Which is better, agent-lsp or cc-equity-research?
The best choice depends on your use case. Choose agent-lsp if Multi-project sessions: work across projects without reconfiguring, and cc-equity-research if Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews.
Is agent-lsp free or open source?
Yes, agent-lsp is open source on GitHub (MIT).
Is cc-equity-research free or open source?
Yes, cc-equity-research is open source on GitHub (Apache-2.0).
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