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 账号 jdhart81 发布v0.2.0更新于 Nov 9, 2026
Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi
发布方自己的服务:Energyai
托管型 MCP 服务:从数字基因组创建发育型智能体,通过评估演化其认知图谱,并按成本、延迟与能耗为任务选择路由。
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。
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%2Fneurogenesis/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。把它添加到你客户端的 mcpServers 配置中。
{
"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.
来源: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.
无需输入参数。
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.
无需输入参数。
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该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

com.energyaisolution官方发布者
面向美国家庭能源规划的远程 MCP 服务器:太阳能发电估算、补贴信息、能源节点评分、引用来源指南与安装商匹配。

com.energyaisolution官方发布者
远程 MCP 服务器,用于美国家庭能源规划:太阳能发电量估算、补贴来源指引、引用指南、承包商列表与经同意的安装商对接。

由 GitHub 账号 jdhart81 发布
VergeCommon 让助手浏览公开的社区保护合作社,并为社区土地项目生成假设性的收益汇集与分配草案。

由 GitHub 账号 jdhart81 发布
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。

由 GitHub 账号 jdhart81 发布
ViridisOS 依据有定理支撑的模块对地块或组合进行认证,签发并验证“Certified by ViridisOS”标记,派生代理 DID 并计算协议费用。
pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py # stdio MCPpython3 run_fleet_tests.py # every agent's invariant tests