MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
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MCP server for spatial transcriptomics analysis through natural language interfaces.
An interactive command-line InfluxDB cli with auto completion.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
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AutoIt through WebDriver or a webdriver-compatible server for AutoIt
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Python library that implements DVB protocols for companion synchronisation
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MicroPython LoRa EBYTE E220 LLCC68 device library complete and tested with Arduino, esp8266, esp32, STM32 and Raspberry Pi Pico (rp2040 boards).
A complete, reliable, secure and open source webapp based on zero-knowledge encryption to deal with TOTP
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
A repo-native coding-agent loop harness for Claude, Codex, Copilot, and other CLI agents. Agents can edit. Gates decide what lands. You set the plan in motion. The agents take a prompt, and each iteration must update specs and commit through guardrails.
Capture The Flag competition challenge write-ups
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Trust metadata for AI agents — a stamp costs ~15 tokens, re-verifying costs 15,000. Agents stamp what they verify; the next agent runs 'akf check' and builds on it. pip install akf