txtai
All-in-one Python AI framework for embeddings-based semantic search, LLM pipelines, workflows and agents.
Harness by NeuML
Chalk Labs
Need help deploying txtai?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
From the package registry. Read the repository before you give any tool access to your data.
pip install txtai
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: knowledge-base, agent-orchestration
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Languages
- PythonREADME
- Packages
- txtai (pypi)README
- Multi-agent
- YesREADME
- Orchestration
- otherREADME
- MCP support
- Built inREADME
- Memory
- vectorREADME
- Deploys to
- dockerREADME
- Model providers
- huggingfaceREADME
- Maturity
- Stablegithub.com
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026; reviewed Oct 24, 2026. Wrong fact? Tell us.
Alternatives
Frameworks for the same language with a similar way of orchestrating agents.
- 0.729score
Agent Squad
2FastLabs
Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.
HarnessAFreshness: A★ 7.8K↓ 1.5K/wk - 0.715score
Pipecat
Daily
Open-source Python framework for real-time voice and multimodal agents, built from composable pipelines with handoffs between specialist agents.
HarnessAFreshness: A★ 16.8K↓ 373.6K/wk - 0.667score
OGX (formerly Llama Stack)
OGX
OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.
HarnessAFreshness: A★ 8.4K↓ 14.2K/wk - 0.642score
Swarms
Swarms
Python framework for orchestrating multiple LLM agents in sequential, concurrent, hierarchical and graph-based workflows.
HarnessAFreshness: A★ 7.3K↓ 3.3K/wk - 0.607score
Microsoft Agent Framework
Microsoft
Open framework for building and hosting production-grade AI agents and multi-agent workflows in .NET and Python.
HarnessAFreshness: A★ 14.3K↓ 47.6K/wk
Compare and alternatives
Signals
- Stars
- 13,032
- Forks
- 951
- Open issues
- 10
- Weekly downloads
- 3,340
- Last commit
- Oct 22, 2026 (8 days ago)
- Last release
- Oct 6, 2026 (24 days ago)
- Last package publish
- Oct 6, 2026 (24 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
txtai - License
- Apache-2.0
- Repository
- github.com/neuml/txtai
- Website
- neuml.github.io/txtai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get txtai running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
txtai. Agent Mart. https://agentmart.dev/harnesses/txtai (last updated 2026-10-24)