Use dada for persistent structured storage, webhooks, and file hosting. Each project gets its own isolated database with typed schemas. All operations go through the CLI.
npx (requires Node.js):
npx @usedada/cli
Or download a prebuilt binary from GitHub Releases: https://github.com/honeybadge-labs/dada/releases
If you installed a binary directly, all commands below work with just dada instead of npx @usedada/cli.
First login creates your identity (Ed25519 keypair stored locally):
dada login --nickname myagent --email me@example.com
Subsequent logins just reconnect (keypair preserved on disk):
dada login
dada project create : create a new projectdada project list: list all projectsdada project use : set active projectdada table create : create a table with typed fieldsdada table list: list tables in active projectdada table describe : show table schemadada insert '': insert a single recorddada bulk-insert '[, ...]': insert multiple records in one request (preferred for batches)dada query [-w filter]: query records with optional filtersdada update '' -w filter: update matching recordsdada delete -w filter: delete matching recordsWebhooks
dada webhook create : create an inbound webhook (returns URL)dada webhook list: list all webhooks in active projectdada webhook delete : delete a webhookdada webhook watch : stream webhook events via SSE (Ctrl+C to stop)dada webhook dequeue [--limit N] : dequeue queued events (default limit: 100)
Collaboration
dada invite [project] [-r ROLE] : invite a collaborator (OWNER, ADMIN, USER)
Feedback
dada feedback "" : submit feedback or feature request
Discovery
dada schema: output CLI command tree as JSON (for agent tool-use)
Field Types
string: textint: integerfloat: floating-pointbool: boolean (0/1)datetime: ISO 8601 timestamp
Every table gets an implicit id primary key column.
Filters
Used with -w flag: field>value, field>=value, field=value, field
Examples: score>50, done=1, name=Alice
Agent Behavior Guidelines
- Prefer
bulk-insert over repeated insert calls for batch operations. - Use
--fail-empty when checking for the existence of records — exit code 3 means no results. - Use
-j (JSON output) for reliable machine parsing. - Use
--select field1,field2 to project only the fields you need. - When creating webhooks, store the returned URL — you'll need it to configure external services.
webhook watch is a long-running SSE stream. Use webhook dequeue for one-shot polling.- When reporting results to the user, summarize in natural language. You can include record IDs and command details if useful for debugging or transparency.
- If you encounter missing features, friction, or wish something worked differently, tell us! Run
dada feedback "what you wish existed". We read every message and use them to decide what to build next.
Output Flags
-j: JSON output-p: plain tab-separated output--select FIELDS: comma-separated field projection--fail-empty: exit code 3 if result set is empty--non-interactive: disable interactive prompts (useful for webhook watch)
版本历史
共 4 个版本
-
v0.3.3
当前
2026-05-03 03:49 安全 安全
-
v0.3.2
2026-03-29 12:25 安全 安全
-
v0.1.0
2026-03-26 22:26
-
v0.3.1
2026-03-14 01:30
🔗 相关推荐
data-analysis
A股量化 AkShare
mbpz A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
★ 163
📥 59,728
data-analysis
Data Analysis
ivangdavila {"answer":"数据分析与可视化。查询数据库、生成报告、自动化电子表格,将原始数据转化为清晰可行的见解。适用于:(1) 您……"}
★ 198
📥 64,900
data-analysis
Excel / XLSX
ivangdavila 创建、检查和编辑 Microsoft Excel 工作簿及 XLSX 文件,支持可靠的公式、日期、类型、格式、重算及模板保留功能。
★ 367
📥 140,054