Symbiont: AI-Native Agent Framework

Symbiont is an AI-native agent framework for building autonomous, policy-aware agents with scheduling, channel adapters, cryptographic identity, and multi-language SDKs.

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About this tool

What

Symbiont Is Symbiont is an AI-native agent framework for building autonomous, policy-aware agents. It targets agent builders, AI developers, and platform engineers, offering scheduling, channel adapters, cryptographic identity, and multi-language SDKs.

Core Capabilities

  • Agent lifecycle management: Create, start, stop, pause, resume, and destroy agents.
  • Agent management API: List agents, get status, create, update, delete, execute, get execution history, heartbeat, and push events to agents.
  • Scheduling: Create schedules.
  • Channel adapters: Integrate agents with chat platforms.
  • Cryptographic operations: Native support for encryption, signing, and proofs.
  • Multi-language SDKs: Integrate across different technology stacks.
  • AI assistant plugins: Governed Claude Code subprocess and Gemini CLI.
  • Conditional compilation, macros, and code generation: Advanced features and integration with external systems.

Architecture

and Boundaries The branch retains ORGA, ToolClad, Cedar, SchemaPin, and AgentPin. Default reason()/tool_call() use a frozen project root and protected journals. A reasoning loop stops with UnconfirmedEffects after a dispatched tool error, unconfirmed nested network outcome, or started child that does not complete. A rejected module retains existing agents and helpers.

Configuration

and Security Ambiguous agent selection, conflicting settings, and registered HTTP security-tier mismatches are configuration errors. Creating an agent does not adopt its permissions. An automatically launched supervisor survives its caller's death, but a shared service manager or outer container can terminate both processes together. Broader workspace/platform trust review remains open.

Best for
  • Agent builders creating autonomous, policy-aware agents
  • AI developers integrating multi-language SDKs
  • Platform engineers needing scheduling and channel adapters
Use cases
  • Building policy-aware autonomous agents
  • Integrating agents with chat channels
  • Scheduling agent tasks
  • Managing agent lifecycle
  • Orchestrating policy-aware agent workflows
Strengths
  • Open-source with a public API
  • Native support for encryption, signing, and proofs
  • Multi-language SDKs
  • Scheduling and channel adapters
  • Full agent lifecycle and management API
Limitations
  • Pricing model is undisclosed
  • Medium learning curve
  • Creating an agent does not adopt its permissions, requiring extra configuration
  • Ambiguous agent selection, conflicting settings, and HTTP security-tier mismatches are configuration errors

Features & use cases

Agent lifecycle management: create, start, stop, pause, resume, destroyAgent management API: list, status, create, update, delete, execute, execution history, heartbeat, push eventSchedule creationChannel adapters and chat platform integrationCryptographic operations: encryption, signing, proofsMulti-language SDKsAI assistant plugins: governed Claude Code subprocess and Gemini CLIConditional compilation, macros, and code generationIntegration with external systems

Quick facts

Public API available

At a glance

Monetization
  • Free
Maturity signals
  • Open source
  • Public API
Learning curve
  • Medium

Resources

Sources

Every profile keeps its sources and latest verification date.

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