Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- name: ai-architect-lite description: Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- AI Architect Lite 精简版「AI Architecture」:保留 .ai_context 记忆协议与 manifest 驱动调度,服务轻量项目或快速移植场景。 适用场景 - 新建/迁移仓库,希望用最小开销引入 .ai_context + slash-first 调度。 - 需要统一开发日志格式,但不启用完 Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Freshness
Last checked 2/22/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
ai-architect-lite is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- name: ai-architect-lite description: Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- AI Architect Lite 精简版「AI Architecture」:保留 .ai_context 记忆协议与 manifest 驱动调度,服务轻量项目或快速移植场景。 适用场景 - 新建/迁移仓库,希望用最小开销引入 .ai_context + slash-first 调度。 - 需要统一开发日志格式,但不启用完
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 22, 2026
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 22, 2026
Vendor
Carl 312
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/Carl-312/devlog-starter.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Carl 312
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
2 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
typescript
Parameters
text
嗨,我是 AI Architect Lite(目前只加载了我)。为了让你轻松上手,我们可以从这三步选一: 1) 想清楚要做什么:用“迷你计划”列出目标、3 步以内的行动、以及如何确认完成(好处:先定方向,少走弯路)。 2) 准备一本“任务笔记”:如果没有 .ai_context/03_ACTIVE_TASK.md,就按 references/lite-protocol.md 的格式建一个,记录当前任务和进展(好处:状态清晰,随时可查)。 3) 留下一条“开工日志”:用 scripts/append_log.py 记下你做的第一步和结果(好处:有迹可循,方便回顾或求助)。 告诉我你的目标,或者直接挑一条开始,我会陪你一步步完成。
markdown
### [2025-11-21 10:00] Action: 初始化 lite 协议 - Changes: 创建 .ai_context/03_ACTIVE_TASK.md;检查 .ai-manifest.json - Outcome: 完成;未运行测试 - Next: 按当前任务执行并在每步后同步日志
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- name: ai-architect-lite description: Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format. --- AI Architect Lite 精简版「AI Architecture」:保留 .ai_context 记忆协议与 manifest 驱动调度,服务轻量项目或快速移植场景。 适用场景 - 新建/迁移仓库,希望用最小开销引入 .ai_context + slash-first 调度。 - 需要统一开发日志格式,但不启用完
精简版「AI Architecture」:保留
.ai_context记忆协议与 manifest 驱动调度,服务轻量项目或快速移植场景。
.ai_context + slash-first 调度。PROJECT_ROOT = 当前仓库;TOOLKIT_PATH = 本技能所在目录(用于引用资源)。PROJECT_ROOT/.ai_context/03_ACTIVE_TASK.md;缺失则按 references/lite-protocol.md 模板创建或运行 python skills/project-init/entrypoint.py。03_ACTIVE_TASK.md 获取 Current Mission;若存在 01/02 则作为补充规则加载,不强制解析全部细节。.ai-manifest.json:优先使用 commands 中的 slash 触发;若无 cognitive_skills 配置,则保持纯命令模式。references/superpowers-lite.md,按其“迷你 TDD”“快速执行模板”走一遍。python scripts/plan_helper.py ...;② 填写/创建 .ai_context/03_ACTIVE_TASK.md;③ 用 scripts/append_log.py 记录第一次动作)。python scripts/plan_helper.py --goal \"...\" --steps \"...\" --validation \"...\" --out - 获取模板);② 先写“会失败”的验证点(命令或检查点),再动手;③ 完成后按验证点复跑并记录结果。python scripts/append_log.py --note "..." --action "..." --changes "..." --outcome "..." --next "..."(随技能提供的最小脚本,默认在项目根执行并自动创建 .ai_context/03_ACTIVE_TASK.md)。若项目已有通用 skills/memory-sync/entrypoint.py,可直接复用;两者都不可用时在 03_ACTIVE_TASK.md 手动追加四段式记录。PROJECT_ROOT;执行前用中文说明修改/命令目的与影响,避免写入密钥。references/,按需加载;核心指令保持在本文件。嗨,我是 AI Architect Lite(目前只加载了我)。为了让你轻松上手,我们可以从这三步选一:
1) 想清楚要做什么:用“迷你计划”列出目标、3 步以内的行动、以及如何确认完成(好处:先定方向,少走弯路)。
2) 准备一本“任务笔记”:如果没有 .ai_context/03_ACTIVE_TASK.md,就按 references/lite-protocol.md 的格式建一个,记录当前任务和进展(好处:状态清晰,随时可查)。
3) 留下一条“开工日志”:用 scripts/append_log.py 记下你做的第一步和结果(好处:有迹可循,方便回顾或求助)。
告诉我你的目标,或者直接挑一条开始,我会陪你一步步完成。
references/lite-protocol.md:.ai_context 最小规范、开发日志模板、slash-first 调度要点。references/superpowers-lite.md:超能力精简卡,涵盖迷你 TDD、系统化调试和透明协作的最小做法。scripts/append_log.py:为新手准备的最小日志脚本,自动建文件并按模板追加;可作为示例扩展。scripts/plan_helper.py:生成目标/约束/步骤/验证的极简计划模板,默认输出到终端,避免额外文件。assets/:保留占位,用于未来模板/示例;当前无需加载到上下文。### [2025-11-21 10:00] Action: 初始化 lite 协议
- Changes: 创建 .ai_context/03_ACTIVE_TASK.md;检查 .ai-manifest.json
- Outcome: 完成;未运行测试
- Next: 按当前任务执行并在每步后同步日志
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/snapshot"
curl -s "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract"
curl -s "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/Carl-312/devlog-starter#input",
"outputSchemaRef": "https://github.com/Carl-312/devlog-starter#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:44:24.155Z",
"sourceUpdatedAt": "2026-02-24T19:44:24.155Z",
"freshnessSeconds": 4428119
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/carl-312-devlog-starter/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/carl-312-devlog-starter/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T01:46:23.519Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:24.155Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:44:24.155Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/Carl-312/devlog-starter#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:44:24.155Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Carl 312",
"href": "https://github.com/Carl-312/devlog-starter",
"sourceUrl": "https://github.com/Carl-312/devlog-starter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/Carl-312/devlog-starter",
"sourceUrl": "https://github.com/Carl-312/devlog-starter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/carl-312-devlog-starter/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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