primal-ai
PulseGate's liveness check found it on 8 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 17 Jun 2026. How this is checked
Primal is a reliability and interoperability layer designed for AI agents, offering a set of composable modules to enhance agent systems with policy enforcement, observability, orchestration, routing, persistence, runtime management, and user profile continuity. 0 license, Primal emphasizes modularity, allowing users to employ any combination of its seven independent pillars, each connected via four neutral primitives at the package root. The tool is installable via pip and…
Inferred · not functionally tested
Overview
4 featuresPurpose: Enabling reliable and interoperable communication between AI agents and systems.
Inferred · not functionally tested
Audience: AI developers
Inferred · not functionally tested
Functions: agents, monitoring, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: primalaiagents.com · github.com. These links do not verify the individual claims.
primal-ai is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on enabling reliable and interoperable communication between AI agents and systems. Inferred · not functionally tested: primal-ai is an open-source project aimed at AI developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.
primalaiagents builds and maintains primal-ai, and it first shipped in 2026. Development happens publicly on GitHub with 25 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are agent interoperability, reliability layer, and observability. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Agent interoperability
- Reliability layer
- Observability
- MCP support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about primal-ai
- What is primal-ai?
- Inferred · not functionally tested: Primal-ai focuses on enabling reliable and interoperable communication between AI agents and systems. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is primal-ai for?
- Inferred · not functionally tested: primal-ai is an open-source project built for AI developers.
- Does primal-ai have a free plan?
- Basis unknown · not verified: Yes — primal-ai is open source under the Apache-2.0 license and free to use.
- What platforms does primal-ai run on?
- Basis unknown · not verified: primal-ai runs on the web, the command line, and API. It can also be self-hosted.
- Is primal-ai still active?
- PulseGate's liveness check found it on 8 Sep 2026. Its GitHub repository shows 25 commits in the last 90 days.
- What are alternatives to primal-ai?
- Similar projects tracked by PulseGate include praxis-ai, praxis-agents, and innate-ai.praxis-aipraxis-agentsinnate-ai
- Who makes primal-ai?
- primal-ai is developed by primalaiagents.
- When did primal-ai launch?
- primal-ai first shipped in 2026.
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