awesome-ChatGPT-repositories
Section: CLIs · Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. 🦋
FreshScore 87
Entry
nika
Appears in 6 awesome lists
Workflow engine for AI where agent work is captured as reviewable .nika.yaml DAG files, statically checked before execution (schema, permits, cost floor) with tamper-evident traces after. Local-first (Ollama, llama.cpp, vLLM), MCP client and server. AGPL-3.0 licensed.
Open github.comsupernovae-st/nika
Found in these lists
Awesome Data Engineering
Section: Workflow · Intent-as-code workflow engine for AI data pipelines: reviewable YAML DAGs statically checked (schema, permits, cost floor) before execution, with tamper-evident run traces.
FreshScore 87
Awesome Gemini CLI
Section: MCP Servers · Read-only oracle for Nika AI workflows: validate .nika.yaml DAGs, explain findings, browse schema/examples, honest cost estimate — before a single token is spent (single Rust binary, config: command nika, args [mcp]).
FreshScore 82
Awesome Open Source AI
Section: 4. Agentic AI & Multi-Agent Systems · Workflow engine for AI where agent work is captured as reviewable .nika.yaml DAG files, statically checked before execution (schema, permits, cost floor) with tamper-evident traces after. Local-first (Ollama, llama.cpp, vLLM), MCP client and server. AGPL-3.0 licensed.
FreshScore 89
Awesome Rust
Section: Applications · Intent-as-code workflow engine for AI: reviewable YAML DAGs statically checked (schema, permits, honest cost floor) before any token is spent. Single binary.
FreshScore 79
Awesome Testing
Section: AI & LLM Testing · Workflow engine for AI with testing built in: nika test pins a workflow's offline behavior as a golden snapshot (deterministic mock provider, zero keys) and replays it in CI; every run also leaves a hash-chained trace for post-hoc verification.
FreshScore 86
Often listed next to it
Luigi
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
In 15 listsDetails
Apache Airflow
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
In 13 listsDetails
Dagster
Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.
In 12 listsDetails
KubeStellar Console
Multi-cluster Kubernetes MCP server bridging Gemini CLI to kubeconfig and Kubernetes APIs. Manage clusters, policies, and 20+ CNCF project integrations across edge and cloud. Install via brew tap kubestellar/tap && brew install kc-agent.
In 13 listsDetails
Hamilton
| Python | - A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.
In 10 listsDetails
The Art of Command Line
A wonderful summary from Joshua Levy regarding command line (Bash in particular) tools, programs, tips, and tricks; contains many pointers to resources and repositories, in the form of "to do this you must know that", which gives great pointers but requires further investigation from different…
In 10 listsDetails
Jev Social
Social media research: uses a Jev Choice at each step to select a concrete socai CLI operation and observed post or profile target on Instagram, TikTok, or LinkedIn, rejecting malformed or low-confidence decisions before execution.
In 8 listsDetails