agent · ai agents frameworks

PraisonAI

docs.praison.aievidence retrieved Aug 2, 2026 – Aug 20, 2026view as JSON all ai agents frameworks entries 29 alternatives

Reviewed12 or more fields evidenced, and scored by a human against the published rubric

18 fields evidenced · 37 with no public information. Every value below links to the document it came from and the date we checked it.

2 of those are quoted but not yet interpreted: we hold the source sentence and the date we read it, but nobody has written the answer to the question yet. Those rows show the quote and say so rather than repeating it back as an answer. Why these exist

1 of those is flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated it yet.

Also appears in

AI agents that support the Model Context Protocol Self-hosted and on-premise AI agents

Trust gap

How this is scored

Runtime governance

2/3

Are scope, spend, and authority enforced while the agent runs?

Publishes an enforced run-time control: prompts and tool inputs are scanned for injection before processing, cycle-safe and fail-closed on oversized inputs, and platform member/workspace mutation endpoints enforce admin/owner roles. Enforcement is real but scoped to injection defence and endpoint roles; no scope, spend or authority ceiling on the agent itself is published.

Counts Permission scopes and Runtime governance, each cited below.

Audit trail

1/3

Is there a tamper-evident record of what it actually did?

A record exists and no more: the docs state a thread-safe JSONL audit log for tool calls. Nothing on the pages checked claims tamper-evidence, hash-chaining, immutability or customer reviewability.

Counts Audit trail, each cited below.

How this gap gets closed →

Compliance

0/3

Are compliance obligations attached per engagement?

No public evidence found. The security page covers vulnerability reporting and deployment practice; no certification, framework mapping, auditor, report date or per-engagement schedule appears on the pages checked.

Counts Safety policy, each cited below.

How this gap gets closed →

Outcome settlement

0/3

Does payment depend on a verified result?

No public evidence found. The project is self-hosted open source with no published payment or settlement mechanism, so nothing links payment to a verified outcome.

How this gap gets closed →

Insurance & indemnity

0/3

Can the deployment be insured, and is the customer indemnified?

No public evidence found. No cover, carrier, limit, indemnity or liability term appears on the pages checked.

How this gap gets closed →

Assurance

Insurance available: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Insurance carriers: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Coverage limits: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Indemnification: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Liability cap: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Audit trail: not yet interpreted
“Thread-safe JSONL audit log for tool calls.”
docs.praison.ai · checked Aug 20, 2026
Tamper-evident log: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Explainability: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Runtime governance: Runtime guardrails include fail-closed prompt-injection scanning of tool inputs before execution.
“Injection Defense Scans prompts and tool inputs (including dict keys) for prompt injection before processing — cycle-safe and fail-closed on oversized inputs”
docs.praison.ai · checked Aug 20, 2026
Permission scopes: Platform member and workspace mutation endpoints enforce admin/owner roles.
“Platform member/workspace mutation endpoints now enforce admin / owner roles”
docs.praison.ai · checked Aug 20, 2026
Compliance certifications: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Regulatory alignment: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Outcome-based pricing: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Settlement mechanism: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Dispute process: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
SLA terms: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Evaluation coverage: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this

Agency

Autonomy level: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Human oversight: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Goal complexity: complex tasks
“Self-improving multi-agent teams that solve complex tasks, automate workflows, and deliver to Telegram, Discord, Slack — with low-code simplicity.”
docs.praison.ai · checked Aug 2, 2026
Action space: Web search, file operations, databases, APIs
“140+ Built-in Tools Web search, file operations, databases, APIs — all ready to use out of the box.”
docs.praison.ai · checked Aug 2, 2026
Operating environment: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Initiative: Self-improving multi-agent teams that solve complex tasks, automate workflows, and deliver to Telegram, Discord, Slack
“Self-improving multi-agent teams that solve complex tasks, automate workflows, and deliver to Telegram, Discord, Slack — with low-code simplicity.”
docs.praison.ai · checked Aug 2, 2026

Safety

Safety evaluations: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Red teaming: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Safety policy: Publishes a security policy covering vulnerability reporting and secure-deployment best practices.
“PraisonAI takes security seriously. This page outlines our security policies, how to report vulnerabilities, and best practices for secure deployment.”
docs.praison.ai · checked Aug 20, 2026
Usage restrictions: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Model or system card: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Incident reporting: GitHub Security Advisories is the preferred channel for reporting vulnerabilities.
“GitHub Security Advisories is the preferred reporting method for fastest response.”
docs.praison.ai · checked Aug 20, 2026
Third-party evaluations: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Data handling: not yet interpreted
“Self-hosted with full control over your data.”
docs.praison.ai · checked Aug 2, 2026

Practicality

Pricing model: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Price point: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Availability: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Deployment options: Your machine, cloud, or edge. Self-hosted
“Runs Anywhere Your machine, cloud, or edge. Self-hosted with full control over your data.”
docs.praison.ai · checked Aug 2, 2026
Integrations: Slack, Discord, Telegram, WhatsApp, GitHub, Google Calendar, Sheets, Drive, Gmail, Notion, Jira
“Platform Integrations Slack Deploy AI bots to Slack workspaces Discord Create Discord bots with agent intelligence Telegram Build Telegram bots in minutes WhatsApp Connect via WhatsApp Business GitHub Automate repos, issues, and PRs Google Calendar, Sheets, Drive, Gmail Notion Read and write Notion pages Jira Manage Jira issues and projects”
docs.praison.ai · checked Aug 2, 2026
Supported regions: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Support model: no public information
Flagged for review — the source below contains language that may address this field. Not yet checked by an editor. How we check absences
docs.praison.ai · checked Aug 2, 2026

Foundation models

Base models: OpenAI, Anthropic, Google, Ollama, Groq
“100+ LLM Models OpenAI, Anthropic, Google, Ollama, Groq — seamlessly switch between any provider.”
docs.praison.ai · checked Aug 2, 2026
Model provider: OpenAI, Anthropic, Google, Ollama, Groq
“100+ LLM Models OpenAI, Anthropic, Google, Ollama, Groq — seamlessly switch between any provider.”
docs.praison.ai · checked Aug 2, 2026
Model swappable: seamlessly switch between any provider
“100+ LLM Models OpenAI, Anthropic, Google, Ollama, Groq — seamlessly switch between any provider.”
docs.praison.ai · checked Aug 2, 2026
Open weights: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Fine-tuning: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Context window: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this

Ecosystem

Protocols supported: MCP Server, A2A Protocol
“Deploy Docker, Cloud, MCP Server, A2A Protocol, and production patterns.”
docs.praison.ai · checked Aug 2, 2026
Tool use: 140+ Built-in Tools Web search, file operations, databases, APIs
“140+ Built-in Tools Web search, file operations, databases, APIs — all ready to use out of the box.”
docs.praison.ai · checked Aug 2, 2026
Multi-agent: multi-agent teams
“Self-improving multi-agent teams that solve complex tasks, automate workflows, and deliver to Telegram, Discord, Slack — with low-code simplicity.”
docs.praison.ai · checked Aug 2, 2026
API access: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Open source: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Marketplace presence: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this

Impact

User base: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Deployment scale: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Target sectors: Research & Analysis, Code Generation, Content Creation, Data Pipelines, Customer Support, Workflow Automation
“Use Cases AI agents solving real-world problems across industries Research & Analysis Conduct deep research, gather information, and generate insights from multiple sources automatically. Code Generation Write, debug, and refactor code with AI agents that understand your codebase and requirements. Content Creation Generate blog posts, documentation, marketing copy, and technical writing with multi-agent teams. Data Pipelines Extract, transform, and analyze data from APIs, databases, and web sources automatically. Customer Support Deploy 24/7 support bots on Telegram, Discord, Slack with memory and knowledge-backed responses. Workflow Automation Automate multi-step business processes with agents that hand off tasks, verify results, and self-correct.”
docs.praison.ai · checked Aug 2, 2026
High-risk domains: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this
Documented incidents: no public information
docs.praison.ai · checked Aug 2, 2026 · source did not state this