openlore provides persistent architectural memory for AI coding agents by turning codebases into queryable knowledge graphs featuring static analysis, living specs, automated drift detection, and graph-native MCP tools to eliminate context decay and drastically slash orientation token costs.
Cross-referenced across 55 tracked directories
#12451
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
1/31/2026
Created
134
GitHub Stars
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
oraios
🐍 🏠 - A fully-featured coding agent that relies on symbolic code operations by using language servers.
kadykov
📇 ☁️ 🏠 - Token-efficient access to OpenAPI/Swagger specs via MCP Resources.
juspay
📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.
...morejuehang
📇 🏠 - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.
...more20
Forks
1
Open Issues
5/17/2026
Last Commit
Recently added to the ecosystem