Comparison
composio vs parlant
Verdict
Pick composio if composio is a toolkit for developing AI agents with pre-authenticated toolkits, context management, and a sandboxed workbench, supporting TypeScript and Python; pick parlant if parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules.
Markdown twin · composio alternatives · parlant alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | composio | parlant |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (69d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 6, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- composio
- Build AI agents that turn intent into action with pre-authenticated toolkits and a sandboxed workbench.
- parlant
- Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
Stars
- composio
- 30k
- parlant
- 18k
Forks
- composio
- 4.8k
- parlant
- 1.6k
Open issues
- composio
- 86
- parlant
- 41
Language
- composio
- TypeScript
- parlant
- Python
Adopt for
- composio
- Composio is a toolkit for developing AI agents with pre-authenticated toolkits, context management, and a sandboxed workbench, supporting TypeScript and Python.
- parlant
- Parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules.
Persona
- composio
- -
- parlant
- -
Runtime
- composio
- -
- parlant
- -
License
- composio
- MIT
- parlant
- Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given.
Last pushed
- composio
- Sep 18, 2026
- parlant
- Jul 12, 2026
Categories
- composio
- AI Agents, Developer Tools
- parlant
- AI Agents
Trust and health
Maintenance
- composio
- Very active (96%)
- parlant
- Steady (60%)
Days since push
- composio
- 0d
- parlant
- 69d
Open issues (now)
- composio
- 86
- parlant
- 41
Stars delta
- composio
- +513 (30d)
- parlant
- +35 (30d)
Open issues delta
- composio
- +21 (30d)
- parlant
- -1 (30d)
Full report
- composio
- Trust report
- parlant
- Trust report
Typed relationship
Shared compatibility
- Python · composio: Python runtime · parlant: Python runtime
Choose composio if…
- composio is primarily TypeScript; parlant is Python.
- License: composio is MIT, parlant is Apache-2.0.
- Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions.
- Tags unique to composio: agentic-ai, function-calling, llmops, mcp.
- Also covers Developer Tools.
- When you need a toolkit that supports TypeScript and Python for developing AI agents.
When NOT to use composio
- If you are working exclusively with languages other than TypeScript or Python.
- If you do not require pre-authenticated toolkits and prefer manual setup.
- If you need a more specialized workbench that is not sandboxed.
- If you are looking for a solution that does not integrate with specific providers like OpenAI Agents or Claude Agent SDK.
Choose parlant if…
- parlant is primarily Python; composio is TypeScript.
- License: parlant is Apache-2.0, composio is MIT.
- Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services..
- Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions.
- Tags unique to parlant: ai-alignment, customer-service, customer-success, gemini.
- When you need precise control over the actions of AI agents based on specific conditions or observations.
When NOT to use parlant
- When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary.
- In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines.
- If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ComposioHQ/composio) · observed Sep 20, 2026
- GitHub forks (ComposioHQ/composio) · observed Sep 20, 2026
- Last push (ComposioHQ/composio) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (emcie-co/parlant) · observed Sep 20, 2026
- GitHub forks (emcie-co/parlant) · observed Sep 20, 2026
- Last push (emcie-co/parlant) · observed Jul 12, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Sep 6, 2026
GitHub stars on cards: composio 30k · parlant 18k (synced Sep 20, 2026).
Common questions
- What is the difference between composio and parlant?
- composio: Build AI agents that turn intent into action with pre-authenticated toolkits and a sandboxed workbench.. parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. See the comparison table for live GitHub stats and shared categories.
- When should I choose composio over parlant?
- Choose composio over parlant when composio is primarily TypeScript; parlant is Python; License: composio is MIT, parlant is Apache-2.0; Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions; Tags unique to composio: agentic-ai, function-calling, llmops, mcp; Also covers Developer Tools; When you need a toolkit that supports TypeScript and Python for developing AI agents.
- When should I choose parlant over composio?
- Choose parlant over composio when parlant is primarily Python; composio is TypeScript; License: parlant is Apache-2.0, composio is MIT; Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services.; Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions; Tags unique to parlant: ai-alignment, customer-service, customer-success, gemini; When you need precise control over the actions of AI agents based on specific conditions or observations.
- When should I avoid composio?
- If you are working exclusively with languages other than TypeScript or Python. If you do not require pre-authenticated toolkits and prefer manual setup. If you need a more specialized workbench that is not sandboxed. If you are looking for a solution that does not integrate with specific providers like OpenAI Agents or Claude Agent SDK.
- When should I avoid parlant?
- When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary. In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines. If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities.
- Is composio or parlant more popular on GitHub?
- composio has more GitHub stars (30,228 vs 18,288). Stars measure visibility, not whether either tool fits your constraints.
- Are composio and parlant open source?
- Yes - both are open-source projects on GitHub (composio: MIT, parlant: Apache-2.0).
- Where can I find alternatives to composio or parlant?
- GraphCanon lists graph-backed alternatives at composio alternatives and parlant alternatives (composio markdown twin, parlant markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, composio or parlant?
- composio: Very active. parlant: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for composio and parlant?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: composio trust report; parlant trust report.