+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑
REDUCE CREATIVE FRICTION THROUGH INTELLIGENT AUTOMATION FOR PUBLIC GOODS.
GOAL: Amplify human creativity through removing obstacles between alignment of intention and manifestation.
+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑+∑≠-∑
This is a Rust binary LLM orchestration engine. A recursive tool for building tools. It interfaces with the AI agents; deterministically store requests, acknowledgements, process logs, and responses for actions during an agentic llm for:
reflection
reuse
context refinement
Engines create engines, strands become webs, task become distribution, accountably.
By leveraging multiple LLMs with Prompt Request Loops, Data Ingestion Sandloops, Testing Edge‑Case Loops, and Random Audit/Snapshot Loops, we create a pipeline that maximizes each agent’s strengths while maintaining deterministic, auditable workflows across the entire network.
The first feature of this rust binary is a an network node for our agent development workspace:
- Nodes use cryptographic identities (Call other nodes for complex task coordination)
- Nodes are self replicating: (Manage & request distributed state across the network for comprehensive context)
- Nodes are self optimizing: (Execute prompt sandloops for continuous quality improvement )
- We implement the P2P network configuration & cryptographic identities with the Commonware library.
- We provide deterministic state management inside each node binary, via Cnidarium
- Nodes ingest state back to the core orchestrator in snapshot form, reducing storage on all nodes during long‑running agent workflows and fallbacks.
- Requirements Mgmt: Define verifiable goals to align autonomy & prevent drift.
- Risk Mgmt: Mitigate uncertainties like bias for reliable decisions.
- Verification & Validation: Test AI in real scenarios for safety & efficacy.
- Lifecycle Mgmt: Guide iterative dev from concept to ops.
- Design Definition: Optimize architectures via trades for goal-oriented behavior.
| Package | Default | Description |
|---|---|---|
| Cw-Hoe | Main Node Engine | |
| Ho-Std | Standard Library | |
| Ergors-Proto (Derive) | Proto Definitions & Derive Macros |
First a node must be initialized:
# creates a nodes home directory, identity keys, and default configuration:
cargo run --bin cw-ho init Then you will want to configure your inference providers api-keys:
# invokes an interactive portal to configure the api-keys
cargo run --bin cw-ho init llm-api-keys Now, you can start the engine:
# initialize the storage layer, transport layer, and any other services
cargo run --bin cw-ho start cargo run --bin cw-ho init llm-api-keys
for a dedicated list of environment variables and their defaults check here.