OML 1.0 via Fingerprinting: Open, Monetizable, and Loyal AI
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Updated
Jan 23, 2025 - Python
OML 1.0 via Fingerprinting: Open, Monetizable, and Loyal AI
Build durable, autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.
~97% token reduction for AI coding sessions — zero deps, 38 languages, MCP server
A local-first coding agent that doesn't take "done" on faith: the engine keeps the run going until the project's own tests pass, and every green run leaves a receipt anyone can replay. Built for one small model on one machine (LM Studio, MLX) or any OpenAI-compatible endpoint. No telemetry. macOS · Linux · Windows.
Archkeel checks architecture boundaries and declared changes in AI-assisted code.
AI-powered crypto trading signals verified in OpenGradient TEE. 6 technical indicators + LLM macro-risk verdict + ONNX volatility forecast. Next.js 16 · React 19 · TypeScript · Tailwind CSS 4 · Binance API · onnxruntime
Durable execution for AI agents in Python: make LangGraph, CrewAI, Pydantic AI, OpenAI Agents, Google ADK, Strands and more fault-tolerant with Dapr Workflows on Diagrid Catalyst. Crash-proof agents, no re-run LLM calls.
Offline, on-device AI desktop agent with a signed, independently-verifiable audit trail — runs sealed with zero verified network egress; every action is hash-chained and checkable offline. MIT · pre-launch.
Durable execution for Microsoft Agent Framework agents in .NET, on Dapr Workflow and Diagrid Catalyst
FDE Consultants Protocoles — open-source Forward Deployed Engineer + DeepSCR protocol: turn any coding agent (Claude Code, Codex, Cursor) into a certifying engineer with verifiable AI Assurance Scores, MCP tools, and a public trust registry. Apache-2.0.
A commit-and-audit proof system for deterministic, quantized inference of a JEPA-style world model (LeWorldModel)
The frozen cryptographic kernel of the AXM protocol. Signed, content-addressed knowledge shards with post-quantum signatures (ML-DSA-44) and mechanically enforced non-selective recording. The gold shard is the definition of correctness.
The verifiable memory cortex for AI agents: a semantic graph and vector search with zero-knowledge provenance.
AI-powered GitHub repo security analysis, verified on-chain via OpenGradient TEE
This unified document integrates glyph specification, dictionary, error taxonomy, canonical taxonomy, grammar, resonance matrix, security/custody, and operational runbooks into one continuous, human-centric format.
Run AI agents locally with built-in governance and verifiable proof. Loom + Kernel + Intelligence.
VELLA = Verifiable Evidence Ledger & Logic Authority; deterministic pre-execution authorization and signed proof for AI agents and automated workflows.
Open-source, proof-bound evidence recorder and verifier for explicit AI-system execution boundaries.
Proof of Agent Work (PoAW): an open protocol and self-hostable node that verifies what AI agents claim they did and issues signed, publicly checkable receipts.
Canonical monorepo for the Aethelred protocol, security baselines, and public release provenance.
To associate your repository with the verifiable-ai topic, visit your repo's landing page and select "manage topics."