create_agent
Create a developmental agent from a digital genome: {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics (>=1), optional growth_rules / safety_axioms}. Returns agent_id + initial graph summary.
genome必填request_id
io.github.jdhart81由 GitHub 帳號 jdhart81 發布v0.2.0更新於 Nov 9, 2026
Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi
發布方自己的服務:Energyai
託管型 MCP 服務:從數位基因組建立發育型代理,透過評估演化其認知圖譜,並依成本、延遲與能耗為任務選擇路由。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.jdhart81%2Fneurogenesis/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"neurogenesis": {
"type": "http",
"url": "https://mcp.viridisconservation.com/neurogenesis/mcp"
}
}
}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.
https://mcp.viridisconservation.com runs all agents as one managed MCP service:
Free tier: 10 calls/day per service; the rails (identity, escrow, metering…) are free forever. Verification is always free.
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.
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
Verifiable science
Agent tools
Browse every project on the Viridis profile. If this one is useful to you, a star helps other people find it.
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.
來源:README.md,提交 350712c
Create a developmental agent from a digital genome: {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics (>=1), optional growth_rules / safety_axioms}. Returns agent_id + initial graph summary.
genome必填request_idEvolve an agent with one task outcome: {task_id, task_type, success_score in [0,1], optional accuracy/user_satisfaction/ cost_efficiency/safety_score/notes/used_nodes/used_edges}. Success strengthens the used edges, failure weakens them; growth and pruning follow the genome's rules under its safety axioms (NG1). Returns the new developmental-ledger events.
agent_id必填evaluation必填request_idFull current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.
agent_id必填All developmental agents on this mount, with summary counts.
無需輸入參數。
Routing recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.
limitagent_id必填from_node必填The append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).
limitagent_id必填Portable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).
agent_id必填Recreate an agent from an export_state document.
state必填request_idRemove a developmental agent from this mount.
agent_id必填request_idRegister a caller-owned Wu Wei execution profile: reuse/cache, deterministic rule, local model, tool/workflow, or cloud model. Profiles can declare quality, reliability, capabilities, token costs, latency, locality, energy rates or average power, carbon intensity, and cache confidence/age. Routing never invents capacity or energy evidence.
profile必填request_idChoose the least-burden eligible route for a task. Hard constraints include quality, reliability, locality, capabilities, context, cost, latency, and energy. Optional baselines quantify predicted savings. Explicit allow_defer/value/urgency fields may produce a no-work decision; no result is then claimed. Returns a hash-bound decision receipt.
task必填request_idAttach one observed outcome to a Wu Wei decision. Actual cost, latency, and energy are optional and remain explicitly unknown when omitted. One append-only, hash-bound outcome is allowed per decision.
notesrequest_iddecision_id必填success_score必填actual_cost_usdactual_energy_whactual_latency_msFree read: decision/outcome receipts, route modes, compute avoided, predicted savings, predicted-vs-observed cost/latency/energy coverage, and Landauer-floor context. Estimates and observations stay distinct.
limitReturn capabilities and input contract.
無需輸入參數。
已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

com.energyaisolution官方發布者
面向美國家庭能源規劃的遠端 MCP 伺服器:太陽能發電估算、補助資訊、能源節點評分、附來源指南與安裝商媒合。

com.energyaisolution官方發布者
遠端 MCP 伺服器,用於美國住宅能源規劃:太陽能發電量估算、補助來源指引、引用指南、承包商清單與經同意的安裝商媒合。

由 GitHub 帳號 jdhart81 發布
VergeCommon 讓助理瀏覽公開的社區保育合作社,並為社區土地專案產生假設性的收益彙集與分配草案。

由 GitHub 帳號 jdhart81 發布
託管 MCP 服務:把對話濃縮成明確意圖,收斂為一項承諾,並媒合到立場一致的代理或集體。

由 GitHub 帳號 jdhart81 發布
ViridisOS 依循有定理支撐的模組對地塊或組合進行認證,簽發並驗證「Certified by ViridisOS」標記,推導代理 DID 並計算協定費用。
pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py # stdio MCPpython3 run_fleet_tests.py # every agent's invariant tests