Ergors

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REDUCE CREATIVE FRICTION THROUGH INTELLIGENT AUTOMATION FOR PUBLIC GOODS.
GOAL: Amplify human creativity through removing obstacles between alignment of intention and manifestation.
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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.

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Network‑Enhanced Creation Tools

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.

Agentic Alignment tech

1. Requirements Mgmt: Define verifiable goals to align autonomy & prevent drift.
2. Risk Mgmt: Mitigate uncertainties like bias for reliable decisions.
3. Verification & Validation: Test AI in real scenarios for safety & efficacy.
4. Lifecycle Mgmt: Guide iterative dev from concept to ops.
5. Design Definition: Optimize architectures via trades for goal-oriented behavior.

Packages

Package	Default	Description
Ergo-Rs	Main Node Engine
Ho-Std	Standard Library
Ergors-Proto (Derive)	Proto Definitions & Derive Macros

QUICKSTART

First a node must be initialized:

# creates a nodes home directory, identity keys, and default configuration:
cargo run  --bin ergors init 

Then you will want to configure your inference providers api-keys:

# invokes an interactive portal to configure the api-keys
cargo run  --bin ergors init llm-api-keys 

Now, you can start the engine:

# initialize the storage layer, transport layer, and any other services
cargo run  --bin ergors start 

cargo run --bin ergors init llm-api-keys

Environment Variables

RUST_LOG

for a dedicated list of environment variables and their defaults check here.

Controls the logging level for the entire application. This is the standard Rust tracing environment variable.

Levels (from least to most verbose):

• error - Only errors
• warn - Warnings and errors
• info - Informational messages, warnings, and errors (default)
• debug - Debug information plus all above
• trace - Trace-level debugging plus all above

Examples:

# Basic levels
export RUST_LOG=info          # Default - general operational logs
export RUST_LOG=debug          # Detailed debugging information
export RUST_LOG=trace          # Very verbose trace-level logging

# Module-specific levels
export RUST_LOG=ergors=debug,tower_http=info    # Debug for ergors, info for tower_http
export RUST_LOG=ergors::server=trace            # Trace only server module

# Target specific components
export RUST_LOG=ergors::middleware=debug        # Debug middleware operations
export RUST_LOG=ergors::storage=trace           # Trace storage operations

Testing Library

Tests using orchestration servers are essentially scripts that can be used to verify integrity of logic, including its deployments, upgrades and migrations. we have a dedicated library and tooling specifically for this purpose.

Mock Server

Mock Inference Provider

• static responses from prompt requests
  • completions
  • prompts
  • toolcalling
  • api calls
  • mpc servers
  • embeddings

Authentication Testing

• key gen siging libary
• custody middleware integration tests (reference penumbra testing library)
• integration test library