oerc-s/primordia
by Various
AI Agent Economic Settlement Infrastructure - Machine-to-Machine Clearing
MCP
oerc-s/primordia
Added 1 June 2026
Overview
An open-source TypeScript library providing infrastructure for machine-to-machine clearing and economic settlement between AI agents. It defines protocols and mechanisms for agents to transact and settle payments autonomously.
Best for
Best for
Developers building decentralized multi-agent systems that need automated settlement and clearing between autonomous agents.
Use cases
- Building autonomous agent economies with built-in settlement
- Implementing agent-to-agent payment and clearing systems
- Creating multi-agent frameworks that require financial reconciliation
Notes
An open-source TypeScript library providing infrastructure for machine-to-machine clearing and economic settlement between AI agents. It defines protocols and mechanisms for agents to transact and settle payments autonomously.
0 stars on GitHub. Last updated 2026-01-31.
Use cases
- Building autonomous agent economies with built-in settlement
- Implementing agent-to-agent payment and clearing systems
- Creating multi-agent frameworks that require financial reconciliation
Pros
- Addresses a specific, emerging need for agent economic infrastructure
- Open-source and written in TypeScript for broad compatibility
- Lightweight and focuses purely on machine-to-machine clearing
Cons
- Early-stage project with no stars and likely limited community adoption
- May lack production hardening, documentation, or real-world testing
- Unclear integration path with existing agent frameworks or blockchains
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Addresses a specific, emerging need for agent economic infrastructure
- Open-source and written in TypeScript for broad compatibility
- Lightweight and focuses purely on machine-to-machine clearing
Cons
- Early-stage project with no stars and likely limited community adoption
- May lack production hardening, documentation, or real-world testing
- Unclear integration path with existing agent frameworks or blockchains
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