Open-source intelligence
Curated research catalog — not a live GitHub API yet. Scores are editorial rubrics for what AutoBuilder should learn, adapt, or avoid. Live trend scanning is planned.
Priority: Now
mem0ai/mem0
Apache-2.0
Demo / samplenowLong-term memory layer for AI apps with user-scoped recall.
Adapt: Venture Memory with approved-facts-only agent context.
Module: venture-memory
Overall 86·Relevance 92·Risk 35View on GitHub →modelcontextprotocol/servers
MIT
Demo / samplenowReference MCP servers for tools (filesystem, git, fetch).
Adapt: Connections page with scoped integrations.
Module: integrations
Overall 72·Relevance 85·Risk 55View on GitHub →semgrep/semgrep
LGPL-2.1
Demo / samplenowStatic analysis for security and quality rules.
Adapt: Trust layer dependency + secret scan before apply patch.
Module: trust-security
Overall 68·Relevance 75·Risk 20View on GitHub →
All catalog entries
mem0ai/mem0
Apache-2.0
Demo / samplenowLong-term memory layer for AI apps with user-scoped recall.
Adapt: Venture Memory with approved-facts-only agent context.
Module: venture-memory
Overall 86·Relevance 92·Risk 35View on GitHub →langchain-ai/langgraph
MIT
Demo / samplenextStateful agent workflows with checkpoints and human-in-the-loop.
Adapt: Mission Control task queue with approval gates.
Module: mission-control
Overall 80·Relevance 90·Risk 45View on GitHub →All-Hands-AI/OpenHands
MIT
Demo / samplenextAutonomous software engineering agent with sandboxed execution.
Adapt: Native build-engine sandbox + patch approval.
Module: build-engine
Overall 74·Relevance 88·Risk 75View on GitHub →modelcontextprotocol/servers
MIT
Demo / samplenowReference MCP servers for tools (filesystem, git, fetch).
Adapt: Connections page with scoped integrations.
Module: integrations
Overall 72·Relevance 85·Risk 55View on GitHub →Aider-AI/aider
Apache-2.0
Demo / samplelaterPair-programming CLI that edits repos with diffs.
Adapt: Patch preview + rollback in engineering agent.
Module: build-engine
Overall 62·Relevance 70·Risk 50View on GitHub →semgrep/semgrep
LGPL-2.1
Demo / samplenowStatic analysis for security and quality rules.
Adapt: Trust layer dependency + secret scan before apply patch.
Module: trust-security
Overall 68·Relevance 75·Risk 20View on GitHub →
