timbal.ai valid
Timbal
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:55:03.198Z. Cached copy · Source on timbal.ai
# Timbal
- [Introduction](https://docs.timbal.ai/index.md): Simple, performant, battle-tested framework for building reliable AI applications
- [Installation](https://docs.timbal.ai/installation.md): Step-by-step instructions for setting up Timbal CLI and Python package
- [Quickstart](https://docs.timbal.ai/quickstart.md): Build your first AI Agent with Timbal in a few lines of code
- [Runnables](https://docs.timbal.ai/core-concepts/runnables.md): Executable primitives that provide consistent interfaces for all Timbal components
- [Events & Streaming](https://docs.timbal.ai/core-concepts/events.md): Monitor execution in real-time and handle streaming results
- [Tracing & Observability](https://docs.timbal.ai/core-concepts/tracing.md): Comprehensive execution tracing with input/output/error/timing capture for complete observability
- [Context & State Management](https://docs.timbal.ai/core-concepts/context.md): The shared memory that connects everything together across the entire lifetime of a run
- [Overview](https://docs.timbal.ai/agents/index.md): Master proven strategies for designing advanced, specialized AI agents using an architecture that work together seamlessly to tackle complex challenges
- [Adding Tools](https://docs.timbal.ai/agents/tools.md): Give your agents the ability to interact with the outside world through automatic schema generation, parameter validation, and concurrent execution
- [MCP Servers](https://docs.timbal.ai/agents/mcp.md): Connect any Model Context Protocol server to your agents and use its tools like native Timbal tools
- [Structured Output](https://docs.timbal.ai/agents/structured-output.md): Use Pydantic models to structure and validate your agent outputs
- [Memory](https://docs.timbal.ai/agents/memory.md): Understand and manage how Agent memory works
- [Memory Compaction](https://docs.timbal.ai/agents/memory-compaction.md): Keep agent memory within context window limits with tool result offloading and built-in compaction strategies
- [Guardrails](https://docs.timbal.ai/agents/guardrails.md): Content policy for the four edges of an agent run: input, model output, tool args, and tool results
- [Skills](https://docs.timbal.ai/agents/skills.md): Extend Agent capabilities through dynamic discovery of knowledge and tools
- [Dynamic Agents](https://docs.timbal.ai/agents/dynamic.md): Learn how to create agents with dynamic system prompts that update automatically using real time data
- [Background Tasks](https://docs.timbal.ai/agents/background-tasks.md): Execute long-running operations asynchronously
- [Commands](https://docs.timbal.ai/agents/commands.md): Invoke tools, agents, and workflows directly with slash commands — no LLM round-trip
- [Voice Agents](https://docs.timbal.ai/voice/index.md): Build live spoken conversations with streaming transcription, agents, tools, and speech output
- [Your First Voice Agent](https://docs.timbal.ai/voice/quickstart.md): Run a live voice agent locally and talk to it in the brows
…
Related sites
Category suggestions: other listed sites in AI and machine learning. These share a category. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=timbal.ai · GET /v1/domain/timbal.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage timbal.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for timbal.ai:
1. POST https://agentwebmap.com/v1/sites/timbal.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://timbal.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/timbal.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/timbal.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.