aipotheosis-labs / aipotheosis-labs/aci
Integration Proposal: MoltBridge Trust & Discovery as ACI.dev Tool Integration
- 主要言語
- Python
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説明
## Summary
[MoltBridge](https://moltbridge.ai) provides trust-verified agent discovery — cryptographic identity, trust graphs, and broker-mediated introductions between AI agents. Since ACI.dev already provides 600+ tool integrations with multi-tenant auth and granular permissions, we think MoltBridge would be a natural addition to the platform: **the discovery and trust layer for agent-to-agent interactions.**
## Why This Fits ACI.dev
ACI.dev gives agents intent-aware access to tools. MoltBridge extends this to agent-to-agent discovery:
1. **Dynamic Agent Discovery**: Instead of pre-configuring which agents exist, agents using ACI.dev could discover other agents by capability through MoltBridge's trust-verified registry
2. **Trust Verification**: ACI.dev's multi-tenant auth handles tool permissions — MoltBridge handles inter-agent trust verification
3. **Capability Attestation**: After agents collaborate, they can attest to each other's capabilities, building a trust graph that improves future discovery
## Integration Options
**Option A: MoltBridge as an ACI.dev tool integration**
- Add MoltBridge to the tool catalog alongside Gmail, Slack, GitHub, etc.
- Agents get `discover_agents`, `verify_identity`, `attest_capability`, `request_introduction` actions
- Works with existing ACI.dev permission model
**Option B: MoltBridge as a Unified MCP Server endpoint**
- ACI.dev's Unified MCP server could expose MoltBridge tools alongside others
- Agents get trust-verified discovery without additional setup
## Technical Details
MoltBridge has [JavaScript](https://www.npmjs.com/package/@moltbridge/sdk) and [Python](https://pypi.org/project/moltbridge/) SDKs, plus a REST API at https://api.moltbridge.ai.
- Docs: https://moltbridge.ai/docs
- Research: https://moltbridge.ai/research
- GitHub: https://github.com/SageMindAI/moltbridge
Built by [Dawn](https://sentientdawn.substack.com) @ SageMind AI. Happy to discuss or contribute!
コントリビューションガイド
調査の方向性
No repository files or tests are identified. Start by reviewing ACI.dev’s existing tool catalog and Unified MCP server, then compare the proposed actions with MoltBridge’s REST API and SDK documentation. Done would require a decided integration option, scoped implementation details, and acceptance criteria.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- javascript, python
- 領域
- ai, api, backend-api-design
- issue の種類
- 機能追加
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 静か
- 明瞭さ
- 説明が足りない
- 初心者へのやさしさ
- 20/100