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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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rockerritesh/README.md

Hi, I'm Sumit Yadav 👋

Building the trust layer for AI agents: the identity, audit, and memory primitives agent systems need before they can be trusted.

Research on mechanistic interpretability and AI safety, published at ACL 2026 Main (SafeConstellations), EACL 2026 LoResLM (maiBERT), and Best Paper Candidate, GLOW @ IJCAI-ECAI 2026.

💻 Computer Engineering · I.O.E. Pulchowk Campus, Nepal 🌐 sumityadav.com.np · Google Scholar · X @Rocker_Ritesh 💌 echo 'cm9ja2Vycml0ZXNoNEBnbWFpbC5jb20K' | base64 -d

🔭 What I'm working on

My bet: memory without identity can't be audited, and identity without memory can't be explained. Enterprise AI trust needs both halves, and today they're being built in isolation. I'm building them as one system.

Repo What it is Stack
agentguard Zero-trust security plane for AI agents. Every agent gets a SPIFFE X.509 identity; every tool call flows through an OPA policy engine and mTLS proxy; every action lands in an append-only audit log. Service-mesh primitives for agents. Go · Python SDK · React dashboard
sumit-server Audited memory infrastructure for agents: every read and write carries a queryable transaction trail. 18 MCP tools, live on HF Spaces. Python · Qdrant · MCP
spiffe-core A minimal SPIFFE implementation (Workload API, trust bundles, attestation), the identity substrate AgentGuard builds on. Python · FastAPI
trat-multi-agent Reference build of IETF Transaction Tokens (TraT) applied to multi-agent AI workflows: TxTS + gateway + agent pipeline, end-to-end. Python · TypeScript

Each repo cross-links the others, so any of them walks you through the whole story.

🧠 Other active work

  • 🧪 Tatva, the dashboard for sumit-server: transaction trail, access stats, memory versioning.
  • 📝 Blogs / Canvas: thinking-in-public on agent trust, memory, and identity.
  • 🤖 agents.ai: multi-agent orchestration playground with semantic agent selection.
  • 🔖 bio-llm: in-browser semantic RAG experiment.
  • 🧒 vibe-coder: an agent that scaffolds Streamlit + FastAPI projects from plain English.

⚡ Fun fact: read 100%, understand <10% (without music).

Pinned Loading

  1. agents.ai agents.ai Public

    An intelligent multi-agent system that automatically selects the best agent and tool sequence to handle user queries. The system uses semantic similarity to match user requests with specialized age…

    Jupyter Notebook 3

  2. vibe_coder vibe_coder Public

    An Agent that will do Streamlit and FastAPI.

    Python 9 1

  3. Unsupervised Unsupervised Public

    RL, GAN, VAE !

    Jupyter Notebook 4

  4. spiffe-core spiffe-core Public

    SPIFFE-based identity primitives for AI agents — workload API, trust bundles, agent attestation (research)

    Python 1

  5. trat-multi-agent trat-multi-agent Public

    Transaction Tokens (TraT) for multi-agent AI workflows — TxTS, gateway, agents pipeline (research)

    Python

  6. kitten-tts-android kitten-tts-android Public

    KittenTTS - On-device text-to-speech Android app using ONNX Runtime and espeak-ng

    Kotlin 10 4