RA.Aid
Standalone coding agent that researches, plans and implements multi-step software tasks, built on LangGraph.
Agent by RA.Aid
Chalk Labs
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install ra-aid
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About
Use cases: coding, code-generation
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Jobs
- codingREADME
- Autonomy
- Autonomous: runs tasks end to end and reports backREADME
- Where you use it
- TerminalREADME
- Hosting
- You run itREADME
- Models
- openaiREADME
- Open source
- YesREADME
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
Built on
Frameworks named in its dependency files.
- 0.748score
LangGraph
LangChain
Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.
HarnessAFreshness: A★ 43.8K↓ 13.1M/wk - 0.714score
LangChain.js
LangChain
JavaScript and TypeScript framework of interoperable components for building LLM apps and agents, with LangGraph.js and Deep Agents above it.
HarnessAFreshness: A★ 18.3K - 0.705score
LangChain4j
LangChain4j
Java library with one API over LLM providers and vector stores, plus tools, RAG and integrations for Quarkus and Spring Boot.
HarnessAFreshness: A★ 13.3K - 0.695score
LangChainGo
LangChainGo
Go implementation of LangChain for writing LLM-based programs from composable building blocks.
HarnessAFreshness: A★ 9.7K - 0.633score
Langchain.rb
Patterns AI
Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.
HarnessAFreshness: A★ 2K
Signals
- Stars
- 2,218
- Forks
- 211
- Open issues
- 54
- Weekly downloads
- 527
- Last commit
- Jun 16, 2025 (1 year ago)
- Last release
- May 7, 2025 (1 year ago)
- Last package publish
- May 7, 2025 (1 year ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
ra-aid - License
- Apache-2.0
- Repository
- github.com/ai-christianson/RA.Aid
- Website
- www.ra-aid.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
RA.Aid. Agent Mart. https://agentmart.dev/agents/ra-aid (last updated 2026-10-24)