Wavefunction Search

io.github.jdhart81由 GitHub 账号 jdhart81 发布v0.2.0更新于 Oct 25, 2026

Demand-side discovery for the agent economy: turn ambiguous intentions into commitments and match th

发布方自己的服务：Energyai

已验证Streamable HTTP可网页运行效率与工作流 AI 与机器学习

服务详情

标识符: io.github.jdhart81/wavefunction-search
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 jdhart81。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.jdhart81%2Fwavefunction-search.svg)](https://sourceweft.com/mcp/io.github.jdhart81%2Fwavefunction-search?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

托管 MCP 服务：把对话提炼为明确意图，收敛为一项承诺，并匹配到立场一致的智能体或集体。

可以做什么: 把对话提炼成含明确意图与置信度的意图波函数
按利害权重把该波函数收敛为可执行的承诺
将收敛后的意图匹配到立场一致的智能体或集体，并按契合度排序
把智能体或集体注册进匹配索引，附使命、领域画像、契合度评分与容量
返回某个智能体的能力与输入约定
适用场景: 适合让助手把模糊的用户目标转成明确承诺，再寻找可承接该承诺的智能体或集体；也适合把自己的智能体发布到共享匹配索引中。
运行要求: 需要远程 streamable HTTP 端点；未声明任何软件包、环境变量或请求头。README 说明托管服务每个服务每日免费 10 次调用，支付、席位与 SLA 属付费选项。

安装前请注意

对话内容会发送到第三方托管服务进行分析，请勿粘贴敏感对话。注册集体会向共享匹配索引写入条目。托管服务层（支付、结算、客户数据）为专有，README 提到付费层级。

安装

在 SourceWeft 中

打开控制台中的 Wavefunction Search，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.jdhart81%2Fwavefunction-search/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "wavefunction-search": {
      "type": "http",
      "url": "https://mcp.viridisconservation.com/wavefunction/mcp"
    }
  }
}

README

Viridis Agent Fleet: open-source agents for the agent economy

Deterministic, auditable MCP agents: trust and settlement rails (identity, trust, escrow, metering, arbitration, notary, surety, provenance, covenant, offsets, compute-ledger) and priced-grade services (tax credits, GHG accounting, construction takeoff, measurement, compliance). Every core is pure Python with no LLM in the serving path, and every result is content-addressed so anyone can re-verify it.

Licensed Apache-2.0. Run any agent yourself, fork it, embed it.

Run an agent locally (free, forever)

bash

pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py          # stdio MCPpython3 run_fleet_tests.py                                 # every agent's invariant tests

pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py          # stdio MCPpython3 run_fleet_tests.py                                 # every agent's invariant tests

Or use the hosted fleet

https://mcp.viridisconservation.com runs all agents as one managed MCP service:

	Self-hosted (this repo)	Hosted by Viridis
Agent logic & verification	✅ identical	✅ identical
Viridis-signed receipts & notary chain	–	✅
Shared trust/reputation network data	–	✅
Maintained rule packs (tax, GHG factors, regs)	snapshot	✅ kept current
Payments (x402, card), seats, SLA	–	✅

Free tier: 10 calls/day per service; the rails (identity, escrow, metering…) are free forever. Verification is always free.

For agents

Agents and LLM tools can start from llms.txt, a generated index of every agent, and AGENTS.md, the rules for using and changing the fleet.

Part of the Viridis open-source commons

Building agents for conservation or energy work? VergeCommon and EnergyAI MCP also expose MCP tools, and ViridisOS serves its decision functions to agents over MCP.

This project is one of a connected set of open tools from Viridis. Each stands on its own; together they run from field evidence to checked decisions.

Conservation commons

VergeCommon: community conservation co-ops with consent-based land mapping, field evidence and group decisions
Dendritic Forest Management (DFM): compare forest-retention options around roads and waterways, with traceable inputs and portable reports
Global Soil Intelligence Project (GSIP): contribute soil observations and explore open soil maps with explicit uncertainty

Verifiable science

Viridis Canon: machine-checked Lean 4 mathematics for ecological decisions, with a DOI for every result
ViridisOS: open reference runtime for DOI-backed decision modules and recomputable results
Viridis Research: the nightly public research record, each claim labeled by what a verifier actually checked
ProofLens: see what a Lean statement means before reading the proof

Agent tools

Viridis Agent Fleet (this repository): open-source MCP agents with deterministic, auditable cores
EnergyAI MCP: energy-planning estimates and incentive sources for AI agents

Browse every project on the Viridis profile. If this one is useful to you, a star helps other people find it.

Boundary

This repo contains agent cores, MCP adapters, tests, standards and self-host tooling. The hosted service layer (gateway, payment and settlement, seats, signing authority, operations, telemetry and customer data) is proprietary and is not in this repo. Please don't open PRs that add it.

"Viridis", "Viridis Conservation" and the Viridis marks are trademarks of Viridis LLC; see TRADEMARKS.md.

来源：README.md，提交 350712c