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109 results · 25–48 shown
AI coding assistant that uses repository context in chat and edits.
No list price
Enterprise voice AI platform for inbound and outbound phone agents, on Bland's own model stack.
From $29.99/month
AI workflow platform for prompts, evaluations, and monitoring.
Free
Open-source tracing and evaluation for agent workflows.
AI observability and evaluation for testing prompts, agents, and traces.
Free, then about $32/seat/month
Open-source framework for code-first, stateful agent workflows.
Open-source visual builder for AI agents and workflows.
Trace, evaluate, and deploy agents in one platform.
Free, then $39/seat/month
Secure MCP runtime for agent authentication, tools, and execution.
Free, then $25/month
Speech AI APIs for transcription, synthesis, and voice agents.
Vector similarity search inside Postgres for embeddings and relational data.
Lets AI agents pay 402-gated APIs autonomously, under a hard spend cap.
AI observability and eval engineering for turning traces into guardrails.
From $100/1.2m spans month billed annually
Persistent agent memory for grounded retrieval across documents and agents.
Free, then $15/month
AI security testing with red teaming, guardrails, and code scanning.
Turn plain-English ideas into AI workflows and backend logic.
AI agents that resolve customer service tickets end to end across email, chat, WhatsApp and social.
From $99/month
Enterprise AI workflows with orchestration, validation, and long-context models.
A marketplace for discovering and combining AI agents into workflows.
AI coding assistant for multi-file edits, commands, and editor workflows.
OpenAI-compatible routing that lowers LLM spend with receipts and a model directory.
From $20/month
Cloud browsers for AI agents, scraping, and automation workflows.
Free, then $30/month
Open-source agent governance for consistent repo workflows.
Free, then $19/seat/month
Open-source browser automation for login-heavy workflows.
Free, then $29/month
The AI tools we added, the prices that moved and the articles we wrote, in one email.
